WO2017076297A1 - 设备存放位置的查找方法及装置 - Google Patents

设备存放位置的查找方法及装置 Download PDF

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Publication number
WO2017076297A1
WO2017076297A1 PCT/CN2016/104372 CN2016104372W WO2017076297A1 WO 2017076297 A1 WO2017076297 A1 WO 2017076297A1 CN 2016104372 W CN2016104372 W CN 2016104372W WO 2017076297 A1 WO2017076297 A1 WO 2017076297A1
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stored
rack
identifier
target rack
current
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PCT/CN2016/104372
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English (en)
French (fr)
Inventor
齐玲燕
孔鹏
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中兴通讯股份有限公司
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Publication of WO2017076297A1 publication Critical patent/WO2017076297A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16—Constructional details or arrangements

Definitions

  • the embodiments of the present invention relate to the field of communications, and in particular, to a method and an apparatus for searching for a storage location of a device.
  • the embodiment of the present invention provides a method and a device for searching for a storage location of a device, so as to at least solve the problem that the related information is low in efficiency in finding a placement location for a device to be stored in a large data center computer room by manual query.
  • a method for searching for a storage location of a device including: acquiring a device parameter of a device to be stored, wherein the device parameter is used to indicate a device attribute of the device to be stored; The target rack identifier matched by the device parameter of the device to be stored; and a storage location for storing the device to be stored in the target rack indicated by the target rack identifier.
  • the device parameter includes N parameters, where N is greater than or equal to 1.
  • the searching for the target rack identifier that matches the device parameter of the device to be stored includes: performing the following steps until the N parameters are selected,
  • the initial value of the current target rack identifier set includes: an identifier of the predetermined one or more racks; and the target rack identifier that matches the current parameter is found from the current target rack identifier set, and the target machine that is to be found is found.
  • the shelf identifier is used as the current target rack identifier set, and the unselected parameter is selected from the device parameters as the current parameter; the current target rack identifier after the N parameters are selected
  • the target rack identifier in the set is the target rack identifier that matches the device parameters of the device to be stored.
  • the device parameter includes: the device parameter includes N parameters, N is greater than or equal to 1, and the target rack identifier that matches the device parameter of the device to be stored includes: one or more from a predetermined one or more A target rack identifier matching each of the parameters is respectively found in the identifier of the rack to obtain N target rack identifier sets, wherein each of the target rack identifier sets includes one parameter matching
  • the target rack identifier is obtained from the set of N target rack identifiers, and the target rack identifier included in each of the target rack identifier sets is matched as a device parameter matching the device to be stored.
  • Target rack ID the target rack identifier that matches the device parameter of the device to be stored includes: one or more from a predetermined one or more
  • a target rack identifier matching each of the parameters is respectively found in the identifier of the rack to obtain N target rack identifier sets, wherein each of the target rack identifier sets includes one parameter matching
  • the target rack identifier is obtained from the set of N target rack
  • the current parameter includes a rated power consumption of the to-be-stored device
  • the finding a target rack identifier that matches the current parameter from the current target rack identifier set includes: identifying the current target rack identifier
  • Each of the rack identifiers in the set respectively performs the following steps, wherein each of the rack identifiers is a current target rack identifier: obtaining a rated power consumption of the rack indicated by the current target rack identifier and the current target The power consumption difference between the power consumption of the devices stored in the rack indicated by the rack identifier; determining whether the power consumption difference is greater than or equal to the power consumption of the device to be stored, if the power consumption difference is greater than Equal to the power consumption of the device to be stored, the current target rack identifier is taken as the target rack identifier that matches the current parameter.
  • the current parameter includes a weight of the to-be-stored device, where finding a target rack identifier that matches the current parameter from the current target rack identifier set includes: in the current target rack identifier set
  • Each of the rack identifiers respectively performs the following steps, wherein each of the rack identifiers is used as a current target rack identifier: obtaining a load bearing of the rack indicated by the current target rack identifier and indicating the current target rack identifier The difference in weight between the weights of the stored devices in the rack; determining whether the weight difference is greater than or equal to the weight of the device to be stored And if the weight difference is greater than or equal to the quality of the device to be stored, the current target rack identifier is used as a target rack identifier that matches the current parameter.
  • the current parameter includes a U-bit space occupied by the device to be stored, where the target chassis identifier that matches the current parameter is found from the current target chassis identifier set, including: the current target
  • Each of the rack identifiers in the set of rack identifiers respectively performs the following steps, wherein each of the rack identifiers is the current target rack identifier: obtaining the rated U-bit space of the rack indicated by the current target rack identifier a first spatial difference between the number of U-bit spaces of the devices stored in the rack indicated by the current target rack identifier; determining whether the first spatial difference is greater than or equal to the U-bit of the device to be stored The number of spaces, if the first spatial difference is greater than or equal to the U-bit space of the device to be stored, the current target chassis identifier is used as a target chassis identifier that matches the current parameter.
  • the method further includes: determining whether the number of U-bit spaces occupied by the device to be stored is greater than a first predetermined threshold; If the number of U-bit spaces occupied by the device to be stored is greater than the first predetermined threshold, the number of consecutive U-bit spaces in the vacant U-bit space of the un-stored device is smaller than the device to be stored.
  • a second spatial difference of the occupied U-bit space determining whether the second spatial difference is greater than or equal to the U-bit space of the device to be stored, and if the second spatial difference is greater than or equal to the to-be-stored
  • the U-bit space of the device is used as the target chassis identifier that matches the current parameter; if the number of U-bit spaces occupied by the device to be stored is less than or equal to the first predetermined threshold And determining the current target rack identifier as a target rack identifier that matches the current parameter.
  • the target chassis identifier in the current target rack identifier set after the N parameters are selected as the target rack identifier that matches the device parameter of the to-be-stored device
  • Obtaining a spatial power consumption offset of the rack indicated by the target rack identifier in the current target rack identifier set after the N parameters are selected; from the current target rack identifier set
  • the target rack identifier corresponding to the largest space power offset is selected among the space power offsets of the rack indicated by the target rack identifier.
  • the spatial power consumption offset of the rack indicated by the target rack identifier in the set includes: the target rack identifier in the current target rack identifier set after the N parameters are selected.
  • the rack performs the following steps to obtain the actual power consumption and power consumption average of each unit U bit space in the rack; and the actual power consumption and the power consumption average according to each unit U bit space in the rack. Obtaining a power consumption variance of the rack; using the obtained power consumption variance as the space power consumption offset of the rack.
  • searching for a storage location for storing the to-be-stored device in the target chassis indicated by the target chassis identifier includes: acquiring U sequentially from the vacant U-bit space in the target chassis The bit space is used as the current U bit space; and the current U bit space is configured to: determine whether the power density of the predetermined number of U bit spaces adjacent to the two sides of the current U bit space is less than or equal to a second predetermined threshold, wherein The predetermined number is greater than the U-bit space occupied by the device to be stored, and is less than one third of the rated U-bit space of the target chassis; if the current U-bit space is adjacent to a predetermined number of two sides The power density of the U-bit space is less than or equal to the second predetermined threshold, and the current U-bit space is used as a target space for storing the device to be stored; and the device to be stored is in the target space. Find the storage location where the device to be stored is stored.
  • a device for searching for a device storage location including: an obtaining module, configured to acquire a device parameter of a device to be stored, wherein the device parameter is used to indicate the device to be stored a device attribute; a first lookup module configured to find a target rack identifier that matches a device parameter of the device to be stored; and a second lookup module configured to look in a target rack indicated by the target rack identifier A storage location for storing the device to be stored.
  • the device parameter includes N parameters, where N is greater than or equal to 1.
  • the first search module includes: a first processing unit, configured to perform the following steps until the N parameters are selected, where
  • the initial value of the target rack identifier set includes: a predetermined identifier of one or more racks; and a target rack identifier matching the current parameter is found from the current target rack identifier set, and the found target rack identifier is used as the target rack identifier
  • the current target rack identifier set, and selecting an unselected parameter from the device parameters as the current parameter; the first setting unit is configured to set the current parameter after the N parameters are selected In the target rack ID set
  • the target rack identifier serves as a target rack identifier that matches the device parameters of the device to be stored.
  • the device parameter includes N parameters, where N is greater than or equal to 1.
  • the first search module includes: a first searching unit, configured to respectively find out and each from an identifier of the predetermined one or more racks The target rack identifiers matched by the parameters to obtain N target rack identifier sets, wherein each of the target rack identifier sets includes a target rack identifier that matches one of the parameters; and the second setting unit And determining, from the N target rack identifier sets, a target rack identifier included in each of the target rack identifier sets to be used as a target rack matching the device parameters of the to-be-stored device.
  • logo the first searching unit
  • the current parameter includes a rated power consumption of the device to be stored
  • the processing unit is configured to: find, by using the current target rack identifier set, a target rack identifier that matches a current parameter:
  • Each of the rack identifiers in the current target rack identifier set performs the following steps respectively, wherein each of the rack identifiers is the current target rack identifier: obtaining the rated power consumption of the rack indicated by the current target rack identifier a power consumption difference between the power consumption of the device stored in the rack indicated by the current target rack identifier; determining whether the power consumption difference is greater than or equal to the power consumption of the device to be stored, if If the power consumption difference is greater than or equal to the power consumption of the device to be stored, the current target rack identifier is used as the target rack identifier that matches the current parameter.
  • the current parameter includes a weight of the device to be stored
  • the processing unit is configured to: find, by using the current target chassis identifier set, a target chassis identifier that matches a current parameter: to the current target
  • Each of the rack identifiers performs the following steps respectively, wherein each of the rack identifiers is a current target rack identifier: obtaining a load bearing of the rack indicated by the current target rack identifier and the current a weight difference between the weights of the devices stored in the rack indicated by the target rack identifier; determining whether the weight difference is greater than or equal to the weight of the device to be stored, if the weight difference is greater than or equal to the waiting The quality of the device is stored, and the current target rack identifier is used as the target rack identifier that matches the current parameter.
  • the current parameter includes a U-bit space occupied by the device to be stored, where the processing unit uses the following steps to find a target rack that matches the current parameter from the current target rack identifier set.
  • the processing unit further includes: a first determining subunit, configured to determine, after the first spatial difference is greater than or equal to the U-bit space of the device to be stored, Whether the number of U-bit spaces is greater than a first predetermined threshold; the first setting sub-unit is configured to acquire the first spatial difference value when the number of U-bit spaces occupied by the device to be stored is greater than the first predetermined threshold The second U-space difference in the vacant U-bit space of the unstoring device is smaller than the U-space space occupied by the device to be stored; determining whether the second spatial difference is greater than or equal to the device to be stored If the second spatial difference is greater than or equal to the U-bit space of the device to be stored, the current target chassis identifier is used as a target chassis identifier that matches the current parameter; And setting a sub-unit, configured to use the current target rack identifier as a target rack identifier matching the current parameter, when the number of U-bit spaces occupied by the device to be stored is less than or equal to the
  • the first searching module further includes: a first acquiring unit, configured to use, as a target, a target rack identifier in the current target rack identifier set after the N parameters are all selected After the target rack identifier matching the device parameters of the storage device is described, obtaining the space power consumption of the rack indicated by the target rack identifier in the current target rack identifier set after the N parameters are selected a shifting unit, configured to select a maximum of the space power consumption offset from the space power consumption offset of the rack indicated by the target rack identifier in the current target rack identifier set The target rack identifier.
  • a first acquiring unit configured to use, as a target, a target rack identifier in the current target rack identifier set after the N parameters are all selected
  • a shifting unit configured to select a maximum of the space power consumption offset from the space power consumption offset of the rack indicated by the target rack identifier
  • the first acquiring unit is configured to obtain a space power offset of the rack indicated by the target rack identifier in the current target rack identifier set after the N parameters are selected.
  • the following steps are performed on the rack indicated by the target rack identifier in the current target rack identifier set after the N parameters are selected, and the actual U-bit space of each unit in the rack is obtained.
  • Average power consumption and power consumption; according to each unit in the rack The actual power consumption of the bit space is equal to the power consumption average, and the power consumption variance of the rack is obtained; the obtained power consumption variance is used as the space power consumption offset of the rack.
  • the second searching module is configured to search for a storage location for storing the to-be-stored device in the target rack indicated by the target rack identifier, where the second searching module includes: a second acquiring unit, The second processing unit is configured to perform the following operations on the current U-bit space: determining the current U-space from the vacant U-bit space in the target rack as a current U-bit space; Whether the power density of the predetermined number of U-bit spaces adjacent to the U-bit space is less than or equal to a second predetermined threshold, wherein the predetermined number is greater than the U-bit space occupied by the device to be stored, and is smaller than the target One-third of the rated U-bit space of the rack; if the power density of the predetermined number of U-bit spaces adjacent to the two sides of the current U-bit space is less than or equal to the second predetermined threshold, then the current The U-bit space is used as a target space for storing the device to be stored; and the storage location of the device to be stored is searched for
  • a computer storage medium is further provided, and the computer storage medium may store an execution instruction for performing a searching method of the storage location of the device in the foregoing embodiment.
  • the device parameter of the device to be stored is used to indicate the device attribute of the device to be stored, and the target rack identifier matching the device parameter of the device to be stored is searched for;
  • the storage location indicated by the rack identifier is used to store the storage location of the device to be stored. That is, by finding the target rack identifier that matches the device parameters of the device to be stored, and finding the storage location suitable for the storage of the device to be stored in the target rack indicated by the target rack identifier, it is not necessary to manually count and plan the device layout.
  • the utility model solves the problem that the related information is low in efficiency in finding the placement position of the device to be stored in the large data center computer room by the manual query, thereby achieving automatic planning for the storage device and further calculating the optimal device layout.
  • the solution, and through this excellent device layout scheme recommend the best device shelf position effect for the user.
  • FIG. 1 is a flow chart of a method for searching for a storage location of a device according to an embodiment of the present invention
  • FIG. 2 is a flow chart of a method for calculating a micro-module data center capacity plan according to an embodiment of the present invention
  • FIG. 3 is a flow chart of a power consumption distribution calculation method for a micromodule data center capacity planning according to the present invention
  • FIG. 4 is a flow chart of a method for calculating a spatial power density of a micromodule data center capacity plan according to FIG.
  • FIG. 5 is a structural block diagram of a device for searching for a storage location of a device according to an embodiment of the present invention
  • FIG. 6 is a structural block diagram 1 of a device for searching for a storage location of a device according to an embodiment of the present invention
  • FIG. 7 is a structural block diagram 2 of a device for searching for a storage location of a device according to an embodiment of the present invention
  • FIG. 8 is a structural block diagram 3 of a device for searching for a storage location of a device according to an embodiment of the present invention
  • FIG. 9 is a structural block diagram 4 of a device for searching for a storage location of a device according to an embodiment of the present invention.
  • FIG. 10 is a structural block diagram 5 of a device for searching for a storage location of a device according to an embodiment of the present invention
  • FIG. 11 is a schematic diagram of functions and processing procedures of various modules of a micromodule data center capacity management system according to an embodiment of the present invention.
  • FIG. 12 is a schematic diagram 1 of each module function and processing procedure of a micromodule data center capacity management system according to an embodiment of the present invention
  • FIG. 13 is a schematic diagram of functions and processing procedures of each module of a general equipment room capacity management according to an embodiment of the present invention.
  • FIG. 1 is a flowchart of a method for searching for a storage location of a device according to an embodiment of the present invention. As shown in FIG. 1 , the process includes the following steps:
  • Step S102 Obtain a device parameter of the device to be stored, where the device parameter is used to indicate a device attribute of the device to be stored.
  • Step S104 searching for a target rack identifier that matches a device parameter of the device to be stored
  • Step S106 Search for a storage location for storing the device to be stored in the target rack indicated by the target rack identifier.
  • the method for searching for the storage location of the device may be, but is not limited to, the micro-module data center intelligent capacity management, the client and the server, the browser and the server, and the common equipment room.
  • the micro-module data center intelligent capacity management the client and the server, the browser and the server, and the common equipment room.
  • manual statistics and planning equipment layout alone will increase the workload of the operation and maintenance staff, and the unreasonable layout of the equipment will result in the work of each rack.
  • the consumption distribution is uneven, local temperature hotspots are generated, the cooling energy consumption of the air conditioner is increased, and the number of internal racks and equipment in the data center is large. It is difficult to find the optimal placement position of the equipment by manual statistics or simple calculation.
  • the problem solves the problem that the related technology is low in efficiency in finding the placement location of the device to be stored in the large data center room by manual query, and thus can automatically plan the storage device, thereby achieving the effect of improving query efficiency.
  • the device parameters of the device to be stored involved in step S102 include, but are not limited to, the rated power consumption of the device to be stored, the weight of the device to be stored, and the to-be-stored device.
  • the number of U-bit spaces occupied by the backup device is not limited to: a combination of the above three parameters and a combination of the three parameters and other parameters.
  • the method for searching for the target rack identifier that matches the device parameters of the device to be stored includes, but is not limited to: sequentially matching the target rack identifier according to the device parameters; Match the corresponding target rack ID set and obtain the recurring target rack ID in each target rack set.
  • the method further includes: but is not limited to: acquiring the machine indicated by the target rack identifier according to the device parameter of the pre-storage device.
  • the space power offset of the rack, and the target rack ID corresponding to the largest space power offset is selected as the final target rack identifier in the space power offset.
  • the method for searching for the storage location of the to-be-stored device in the target chassis indicated by the target chassis identifier includes, but is not limited to, a predetermined number of U-bits according to adjacent sides of the current U-bit space.
  • the power density of the space finds the storage location of the device to be stored.
  • FIG. 2 is a flowchart of a method for calculating a data center capacity planning of a micromodule according to an embodiment of the present invention. As shown in FIG. 2, the method includes the following steps:
  • Step S201 When the device is to be stored, enter the device parameters of the device to be stored, including at least the weight, the rated power consumption, and the U-bit space;
  • Step S202 Counting the U space of all racks and the U space of the existing equipment in the rack, and giving the rack and U space positions that meet the requirements, that is, the number of empty U spaces of the rack is greater than or equal to the U space of the equipment to be stored.
  • the number of vacant U spaces in the rack is equal to the sum of the rated U space of the rack minus the number of U spaces in the rack. If the number of U-spaces of the device to be stored is greater than 1, the number of U-spaces in the rack is equal to the total number of U-spaces in the rack minus the number of U-spaces in the rack.
  • the number of consecutive vacant Us in the empty U-space of the rack is less than The sum of the U spaces of the U space of the device is stored, and the racks satisfying the requirements are sorted according to the number of vacant U spaces from large to small;
  • Step S203 determining whether there is a rack that satisfies the condition, if yes, executing step S204, if not, executing step S210;
  • Step S204 In the result of S202, the rated power consumption of all the racks and the rated power consumption of the stored devices in the rack are counted, and the rack that meets the requirements is filtered out, that is, the remaining rated power consumption of the rack is greater than or equal to the equipment to be stored.
  • Rated power consumption, and the racks that meet the requirements are sorted according to the remaining rated power consumption, where the remaining rack power consumption is equal to the rack power consumption minus the sum of the rack equipment's rated power consumption;
  • Step S205 determining whether there is a rack that satisfies the condition, if yes, executing step S206, if not, executing step S210;
  • Step S206 In the result of S204, the weight of all the racks and the weight of the existing equipment in the rack are counted, and the rack that meets the requirements is filtered out, that is, the remaining weight of the rack is greater than or equal to the weight of the equipment to be stored, and The racks that meet the requirements are sorted according to the remaining weights, wherein the remaining weight of the rack is equal to the total weight of the rack minus the weight of the existing equipment in the rack;
  • Step S207 determining whether there is a rack that satisfies the condition, if yes, executing step S208, if not, executing step S210;
  • Step S208 According to the power consumption distribution of each rack of the micromodule, sorting according to the power consumption distribution in the result of 206, recommending the most reasonable rack to the user;
  • Step S209 According to the power consumption density of the vacant U space of the rack, in the result of S208, the power consumption density is ranked from low to high, and the U space with the lowest recommended power density is given to the user;
  • Step S210 Output the result.
  • the principle of the most reasonable evaluation method of the shelf position that is, the most reasonable power density distribution is that the power consumption of each U space of the rack is the same, and the most unreasonable distribution is a single U. Space occupies all of the rack's rated power consumption.
  • the device parameter of the device to be stored is used to indicate the device attribute of the device to be stored, and the target rack identifier matching the device parameter of the device to be stored is searched for;
  • the storage location indicated by the rack identifier is used to store the storage location of the device to be stored. That is, by finding the target rack identifier that matches the device parameters of the device to be stored, and finding the storage location suitable for the storage of the device to be stored in the target rack indicated by the target rack identifier, it is not necessary to manually count and plan the device layout. , solved the related In the technology, in the large data center computer room, the location of the device to be stored is searched for by the manual query, which causes low efficiency and low accuracy, and thus can automatically plan the storage device, and further calculate an optimal device layout scheme. And recommend the best equipment racking position according to the optimal equipment layout scheme.
  • the device parameter includes N parameters, and N is greater than or equal to 1. Finding a target chassis identifier that matches a device parameter of the device to be stored includes performing the following steps until the N parameters are selected. :
  • Step S11 Find a target rack identifier that matches the current parameter from the current target rack identifier set, use the found target rack identifier as the current target rack identifier set, and select not selected from the device parameters.
  • the passed parameter is the current parameter
  • Step S12 The target rack identifier in the current target rack identifier set after the N parameters are selected is used as the target rack identifier that matches the device parameter of the device to be stored.
  • the initial value of the current target rack identifier set includes: an identifier of the predetermined one or more racks.
  • the current target rack identifier set includes: 1, 2, 3, and 4.
  • the matching result is obtained and the result is sorted according to the matching degree. 2, 1, 3, 4, and then take another parameter from the N parameters and match the result of the sorting of the rack identification set obtained by the above matching, and obtain a matching result and the matching result is sorted by 3, 2, 1, 4
  • the loop is repeated until the N device parameters are selected and matched, and a final rack identifier set matching result is obtained, from which the previous rack identifier can be sorted as the target rack identifier.
  • the device parameter includes: the device parameter includes N parameters, and N is greater than or equal to 1, and the target chassis label matching the device parameter of the device to be stored is searched for.
  • Knowledge includes the following steps:
  • Step S21 Find a target rack identifier that matches each of the parameters from the identifiers of the predetermined one or more racks to obtain N target rack identifier sets, where each of the target rack identifier sets Included in the target rack identifier that matches one of the parameters;
  • Step S22 Search for the target rack identifier included in each target rack identifier set from the N target rack identifier sets as the target rack identifier that matches the device parameter of the device to be stored.
  • the current target rack identifier set includes: 1, 2, 3, and 4, when one of the N parameters is taken out and matched with the current rack identifier, the first matching result is obtained, and the matching degree is matched.
  • the result of sorting a matching result is 2, 1, 3, and 4, and then taking another parameter from the N parameters to match the current target rack identifier set, specifically 1, 2, 3, and 4, to obtain a second matching result.
  • sorting the second matching result according to the matching degree is 3, 2, 1, 4, and sequentially cycling until N device parameters are selected and matched, and the first three matching results are ranked in the top three
  • the rack ID, and the rack ID that appears in each matching result is obtained as the target rack ID.
  • the target rack set matching the device parameters of the device to be stored can be automatically found according to the device parameters of the device to be stored, without manually performing statistical calculation, thereby reducing manual work. the amount.
  • the current parameter includes a rated power consumption of the device to be stored, wherein: finding a target rack identifier that matches the current parameter from the current target rack identifier set includes: the current target Each rack ID in the rack ID set performs the following steps:
  • Step S31 Obtain a power consumption difference between a rated power consumption of the rack indicated by the current target rack identifier and a power consumption of the stored device in the rack indicated by the current target rack identifier.
  • Step S32 determining whether the power consumption difference is greater than or equal to the power consumption of the device to be stored. If the power consumption difference is greater than or equal to the power consumption of the device to be stored, the current target chassis identifier is used as The target rack ID that the current parameter matches.
  • the target rack identifier that matches the rated power consumption is sequentially found from the current target rack identifier set by using the rated power consumption as the current parameter of the device to be stored.
  • each of the above rack identifiers can be used as the current target rack identifier.
  • the target rack set matching the rated power consumption of the device to be stored can be automatically found according to the rated power consumption of the device to be stored, without the need for manual statistical calculation alone, thereby reducing The artificial workload increases the efficiency of operation and maintenance.
  • the current parameter includes a weight of the device to be stored, where the target chassis identifier that matches the current parameter is found from the current target rack identifier set, including: the current target rack identifier set. Perform the following steps for each rack ID in each:
  • Step S41 Obtain a weight difference between the weight of the rack indicated by the current target rack identifier and the weight of the equipment stored in the rack indicated by the current target rack identifier.
  • step S42 it is determined whether the weight difference is greater than or equal to the weight of the device to be stored. If the weight difference is greater than or equal to the quality of the device to be stored, the current target rack identifier is used as a target rack matching the current parameter. logo.
  • the target rack identifier that matches the weight of the device to be stored is sequentially found from the current target rack identifier set.
  • each of the above rack identifiers is used as the current target rack identifier.
  • the target rack set matching the weight of the device to be stored can be automatically found according to the weight of the device to be stored, without manually performing statistical calculation, thereby reducing the manual workload. , improve the efficiency of operation and maintenance.
  • the current parameter includes a U-bit space occupied by the device to be stored, where the target chassis identifier that matches the current parameter is found from the current target chassis identifier set, including: Perform the following steps for each rack ID in the target rack ID set:
  • Step S51 Obtain a first spatial difference between the rated U-bit space of the rack indicated by the current target rack identifier and the U-bit space of the device stored in the rack indicated by the current target rack identifier.
  • step S52 it is determined whether the first spatial difference is greater than or equal to the U-bit space of the device to be stored. If the first spatial difference is greater than or equal to the U-bit space of the device to be stored, the current target chassis identifier is determined. As the target rack ID that matches the current parameter.
  • the current target rack identifier set is sequentially found to match the U-bit space occupied by the device to be stored.
  • Target rack ID the U-bit space occupied by the device to be stored.
  • the number of U-bit spaces occupied by the device to be stored includes, but is not limited to, the number of unit spaces occupied by the device to be stored in U, and each of the above-mentioned rack identifiers is used as the current target rack identifier.
  • the target rack set matching the number of U-bit spaces occupied by the device to be stored can be automatically found according to the U-bit space occupied by the device to be stored, without manual intervention. Performing statistical calculations reduces the amount of manual work and improves the efficiency of operation and maintenance.
  • the method further includes the following steps:
  • Step S61 determining whether the number of U-bit spaces occupied by the device to be stored is greater than a first predetermined threshold
  • Step S62 If the number of U-bit spaces occupied by the device to be stored is greater than the first predetermined threshold, the number of consecutive U-bit spaces in the vacant U-bit space of the un-stored device is smaller than the device to be stored. a second spatial difference of the occupied U-bit space; determining whether the second spatial difference is greater than or equal to the U-bit space of the device to be stored, and if the second spatial difference is greater than or equal to the U-bit of the device to be stored The number of spaces, the current target rack identifier is taken as the target rack identifier that matches the current parameter;
  • Step S63 if the number of U-bit spaces occupied by the device to be stored is less than or equal to the first predetermined Threshold, the current target rack ID is taken as the target rack ID that matches the current parameter.
  • the first spatial difference is greater than or equal to the U-bit space of the device to be stored
  • the current target rack ID is the target rack ID that matches the current parameter.
  • the current target rack identifier is used as the target rack identifier that matches the current parameter, and No further judgment is required.
  • the first predetermined threshold involved in the above steps may be 1U.
  • step S62 is exemplified in combination with the following examples.
  • the first spatial difference involved in the above steps is 1U, 2U, 3U, 1U.
  • the second spatial difference is the first spatial difference 1U, 2U, 3U, 1U minus the last 1U, because the U space that is continuous with the 1U, that is, the space number of 3U, is already occupied, and cannot be used as a device for storing the device to be stored, so the second spatial difference is only the remaining 1U, 2U, 3U can hold the equipment to be stored.
  • the target rack set matching the number of U-bit spaces occupied by the device to be stored can be automatically found according to the U-bit space occupied by the device to be stored, without manual intervention. Performing statistical calculations reduces the amount of manual work and improves the efficiency of operation and maintenance.
  • the target rack identifier in the current target rack identifier set after the N parameters are selected is matched with the device parameter of the device to be stored. After the target rack ID, the following steps are also included:
  • Step S71 Obtain a spatial power consumption offset of the rack indicated by the target rack identifier in the current target rack identifier set after the N parameters are selected;
  • Step S72 Select the target rack identifier corresponding to the largest space power offset from the space power offset of the rack indicated by the target rack identifier in the current target rack identifier set.
  • the space power consumption offset of the rack indicated by the target rack identifier in the current target rack identifier set can be automatically found, and the target rack suitable for storing the device to be stored is automatically found.
  • the collection without the need for manual statistical calculations, reduces the manual workload and improves the efficiency of operation and maintenance.
  • obtaining a space power consumption offset of the rack indicated by the target rack identifier in the current target rack identifier set after the N parameters are selected includes the N parameters Perform the following steps for the rack indicated by the target rack ID in the current target rack ID set after being selected:
  • Step S81 obtaining actual power consumption and power consumption average value of each unit U bit space in the rack;
  • Step S82 Obtain a power consumption variance of the rack according to the actual power consumption of each unit U bit space in the rack and the power consumption average value;
  • Step S83 the obtained power consumption variance is used as the space power consumption offset of the rack.
  • the power consumption variance of the above rack may be obtained by making the actual power consumption of each U-bit space in the rack and the power consumption mean different, and then obtaining the sum of the squares of the differences respectively.
  • FIG. 3 is a flow chart of a power consumption distribution calculation method for a micro-module data center capacity planning according to the present invention. As shown in FIG. 3, the flowchart includes the following steps:
  • Step S301 reading the U power distribution of the existing devices in each rack, and obtaining the devices corresponding to each U space in the rack and calculating the actual power consumption corresponding to each U space, wherein each U space actual power The rated power consumption of the device in which the space is located. If there is no device in the space, then The actual power consumption is 0. If the U number of the corresponding device in the space is N, and N is greater than 1, the actual power consumption of the space is the rated power consumption value of the device divided by N;
  • Step S302 the average power consumption of the U space in the computer rack, that is, the average value of the U space power consumption is equal to the total rated power consumption value of the rack divided by the total rated U space of the rack;
  • Step S303 calculating a sum of squares of the difference between the actual power consumption and the power consumption average value of each U space;
  • Step S304 Sort the set of racks from large to small according to the result of the offset degree calculated in step S303, and select a reasonable rack.
  • the space power consumption offset of the rack indicated by the target rack identifier in the current target rack identifier set can be automatically found to be suitable for the target rack to be stored by the device to be stored.
  • the collection without the need for manual statistical calculations, reduces the manual workload and improves the efficiency of operation and maintenance.
  • searching for a storage location for storing the to-be-stored device in the target chassis indicated by the target chassis identifier includes: acquiring U sequentially from the vacant U-bit space in the target chassis The bit space is used as the current U bit space, and then the following operations are performed on the current U bit space:
  • step S91 it is determined whether the power consumption density of the predetermined number of U-bit spaces on the two adjacent sides of the current U-bit space is less than or equal to a second predetermined threshold, wherein the predetermined quantity is greater than the U-bit space occupied by the device to be stored, and Less than one-third of the rated U-bit space of the target rack;
  • Step S92 if the power consumption density of the predetermined number of U-bit spaces on the two adjacent sides of the current U-bit space is less than or equal to the second predetermined threshold, the current U-bit space is used as a target space for storing the device to be stored;
  • step S93 the storage location of the device to be stored is searched for the device to be stored in the target space.
  • the power consumption density of the predetermined number of U-bit spaces adjacent to the current U-bit space may be a power consumption density of a predetermined number of U-spaces on the left and right sides of the current U-bit space; the second predetermined threshold value is the work. The corresponding value when the density is the smallest.
  • FIG. 4 is a flow chart of a method for calculating a spatial power density according to a micro-module data center capacity plan. As shown in FIG. 4, the flowchart includes the following steps:
  • Step S401 obtaining M number U spaces around the U space to be calculated; wherein the value of M can be freely set within a limited range, and the value of M must be greater than the number of U to be stored, and less than three points of the total U number of the rack. one;
  • Step S402 acquiring power consumption corresponding to M number U spaces
  • Step S403 calculating an average value of the power consumption of the M number U space, as the power consumption density of the U space to be calculated;
  • Step S404 the power consumption density of the free U space in the rack is sorted and outputted from small to large; the U space with the smallest power consumption density is the optimal racking position.
  • step S401 may be to separately obtain M/2 U-spaces to be calculated in the U space, as a basis for calculating the U-space power consumption average.
  • the main purpose of the present invention is to provide a method for intelligent capacity management of a micro-module data center, which combines factors such as space, weight, power consumption distribution, power consumption density, etc., and combines various factors to automatically plan the best equipment.
  • the racking position improves the operation and maintenance efficiency.
  • the power consumption distribution of the rack and the U-space power density are proposed as optimization factors.
  • the uniform power consumption distribution and space power density can avoid the generation of temperature hotspots and thus reduce the cooling. Power consumption.
  • the embodiment optimizes and layouts according to the attributes of the rack and the device itself, and does not require other detecting devices, and the implementation cost is low.
  • the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform.
  • hardware can also be used, but in many cases the former is a better implementation.
  • the technical solution of the present invention in essence or the contribution to the related art can be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, CD-ROM).
  • the instructions include a number of instructions for causing a terminal device (which may be a cell phone, computer, server, or network device, etc.) to perform the methods described in various embodiments of the present invention.
  • a device for searching for a storage location of the device is provided.
  • the device is used to implement the foregoing embodiments and preferred embodiments, and details are not described herein.
  • the term "module” may implement a combination of software and/or hardware of a predetermined function.
  • the apparatus described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware, is also possible and contemplated.
  • FIG. 5 is a structural block diagram of a device for searching for a storage location of a device according to an embodiment of the present invention. As shown in FIG. 5, the device includes:
  • the obtaining module 52 is configured to obtain a device parameter of the device to be stored, where the device parameter is set to indicate a device attribute of the device to be stored;
  • the first search module 54 is configured to search for a target rack identifier that matches the device parameters of the device to be stored;
  • the second search module 56 is configured to search for a storage location for storing the device to be stored in the target rack indicated by the target rack identifier.
  • the searching device of the device storage location may be, but is not limited to, in the process of micro-module data center intelligent capacity management, in the process of client and server, browser and server, and common computer room.
  • the searching device of the device storage location may be, but is not limited to, in the process of micro-module data center intelligent capacity management, in the process of client and server, browser and server, and common computer room.
  • manual statistics and planning equipment layout alone will increase the workload of the operation and maintenance staff, and the unreasonable layout of the equipment will result in the work of each rack.
  • the consumption distribution is uneven, local temperature hotspots are generated, the cooling energy consumption of the air conditioner is increased, and the number of internal racks and equipment in the data center is large. It is difficult to find the optimal placement position of the equipment by manual statistics or simple calculation.
  • the problem solves the problem that the related technology is low in efficiency in finding the placement location of the device to be stored in the large data center room by manual query, and thus can automatically plan the storage device, thereby achieving the effect of improving query efficiency.
  • the device parameters of the device to be stored involved in step S102 include, but are not limited to, the rated power consumption of the device to be stored, the weight of the device to be stored, and the U bit space occupied by the device to be stored.
  • the number is also not limited to: a combination of the above three parameters and a combination of the three parameters and other parameters.
  • the apparatus for searching for the target rack identifier that matches the device parameter of the device to be stored includes, but is not limited to: sequentially matching the target rack identifier according to the device parameter; according to each device parameter Match the corresponding target rack ID set and obtain the recurring target rack ID in each target rack set.
  • the method further includes: but is not limited to: acquiring the machine indicated by the target rack identifier according to the device parameter of the pre-storage device.
  • the space power offset of the rack, and the target rack ID corresponding to the largest space power offset is selected as the final target rack identifier in the space power offset.
  • the means for searching for the storage location of the to-be-stored device in the target rack indicated by the target rack identifier includes, but is not limited to, a predetermined number of U-bits according to adjacent sides of the current U-bit space.
  • the power density of the space finds the storage location of the device to be stored.
  • FIG. 2 is a flowchart of a method for calculating a data center capacity planning of a micromodule according to an embodiment of the present invention. As shown in FIG. 2, the method includes the following steps:
  • Step S201 When the device is to be stored, enter the device parameters of the device to be stored, including at least the weight, the rated power consumption, and the U-bit space;
  • Step S202 Counting the U space of all racks and the U space of the existing equipment in the rack, and giving the rack and U space positions that meet the requirements, that is, the number of empty U spaces of the rack is greater than or equal to The number of U-spaces in the storage device, where the number of empty U-spaces of the rack is equal to the sum of the rated U-space of the rack minus the number of U-spaces of the racked devices. If the number of U-spaces of the device to be stored is greater than 1, the number of U-spaces in the rack is equal to the total number of U-spaces in the rack minus the number of U-spaces in the rack. The number of consecutive vacant Us in the empty U-space of the rack is less than The sum of the U spaces of the U space of the device is stored, and the racks satisfying the requirements are sorted according to the number of vacant U spaces from large to small;
  • Step S203 determining whether there is a rack that satisfies the condition, if yes, executing step S204, if not, executing step S210;
  • Step S204 In the result of S202, the rated power consumption of all the racks and the rated power consumption of the stored devices in the rack are counted, and the rack that meets the requirements is filtered out, that is, the remaining rated power consumption of the rack is greater than or equal to the equipment to be stored.
  • Rated power consumption, and the racks that meet the requirements are sorted according to the remaining rated power consumption, where the remaining rack power consumption is equal to the rack power consumption minus the sum of the rack equipment's rated power consumption;
  • Step S205 determining whether there is a rack that satisfies the condition, if yes, executing step S206, if not, executing step S210;
  • Step S206 In the result of S204, the weight of all the racks and the weight of the existing equipment in the rack are counted, and the rack that meets the requirements is filtered out, that is, the remaining weight of the rack is greater than or equal to the weight of the equipment to be stored, and The racks that meet the requirements are sorted according to the remaining weights, wherein the remaining weight of the rack is equal to the total weight of the rack minus the weight of the existing equipment in the rack;
  • Step S207 determining whether there is a rack that satisfies the condition, if yes, executing step S208, if not, executing step S210;
  • Step S208 According to the power consumption distribution of each rack of the micromodule, sorting according to the power consumption distribution in the result of 206, recommending the most reasonable rack to the user;
  • Step S209 According to the power consumption density of the vacant U space of the rack, in the result of S208, the power consumption density is ranked from low to high, and the U space with the lowest recommended power density is given to the user;
  • Step S210 Output the result.
  • the principle of the most reasonable evaluation method of the shelf position that is, the most reasonable power density distribution is that the power consumption of each U space of the rack is the same, and the most unreasonable.
  • the distribution is that a single U space occupies all of the rack's rated power consumption.
  • the device parameter of the device to be stored is used to indicate the device attribute of the device to be stored, and the target rack identifier matching the device parameter of the device to be stored is searched for;
  • the storage location indicated by the rack identifier is used to store the storage location of the device to be stored. That is, by finding the target rack identifier that matches the device parameters of the device to be stored, and finding the storage location suitable for the storage of the device to be stored in the target rack indicated by the target rack identifier, it is not necessary to manually count and plan the device layout.
  • the problem of low efficiency and low accuracy caused by manual query for finding the location of the device to be stored in the large data center computer room is solved, and the automatic storage of the storage device can be performed to further calculate the optimal one.
  • FIG. 6 is a structural block diagram 1 of a device for searching for a storage location of a device according to an embodiment of the present invention.
  • the device parameters in the device include N parameters, and N is greater than or equal to 1, wherein the first FIG. 5 is involved.
  • the finding module 54 includes:
  • the first processing unit 542 is configured to perform the following steps until the N parameters are selected, wherein the initial value of the current target rack identifier set comprises: a predetermined identifier of one or more racks; from the current target Find a target rack identifier that matches the current parameter in the rack identifier set, use the found target rack identifier as the current target rack identifier set, and select an unselected parameter from the device parameter as the current parameter;
  • the first setting unit 544 is configured to use the target rack identifier in the current target rack identifier set after the N parameters are selected as the target rack identifier that matches the device parameter of the device to be stored.
  • the initial value of the current target rack identifier set includes: an identifier of the predetermined one or more racks.
  • the current target rack identifier set includes: 1, 2, 3, and 4, when one of the N parameters is taken out and matched with the current rack identifier, the matching result is obtained and pressed.
  • the result of sorting according to the matching degree is 2, 1, 3, and 4, and then another parameter is taken out from the N parameters and matched with the result of sorting the rack identification set obtained by the above matching, and the matching result is obtained and the matching result is sorted. 3, 2, 1, 4, in turn, until N device parameters are selected and matched, a final rack identification set matching result is obtained, from which the previous rack identifier can be sorted as the target rack identifier. .
  • FIG. 7 is a structural block diagram of a device for searching for a storage location of a device according to an embodiment of the present invention. As shown in FIG. 7, the device parameter includes N parameters, and N is greater than or equal to 1.
  • the first search module 54 includes:
  • the first searching unit 546 is configured to respectively find a target rack identifier that matches each of the parameters from the identifiers of the predetermined one or more racks, to obtain N target rack identifier sets, where each The target rack identifier set includes a target rack identifier that matches one of the parameters;
  • the second setting unit 548 is configured to search, from the N target rack identifier sets, the target rack identifier included in each target rack identifier set to match the device parameter of the to-be-stored device. Target rack ID.
  • the current target rack identifier set includes: 1, 2, 3, and 4, when one of the N parameters is taken out and matched with the current rack identifier, the first matching result is obtained, and the matching degree is matched.
  • the result of sorting a matching result is 2, 1, 3, and 4, and then taking another parameter from the N parameters and matching the current target rack identifier set to 1, 2, 3, and 4 to obtain a second matching result.
  • sorting the second matching result according to the matching degree is 3, 2, 1, 4, and sequentially cycling until N device parameters are selected and matched, and the first three matching results are ranked in the top three
  • the rack ID, and the rack ID that appears in each matching result is obtained as the target rack ID.
  • the device parameters of the device to be stored can be automatically found out.
  • the target rack set that matches the device parameters of the device to be stored without the need for manual statistical calculations alone, reduces manual workload.
  • the current parameter includes a rated power consumption of the device to be stored
  • the processing unit 542 is configured to: find, by using the current target rack identifier set, a target rack identifier that matches the current parameter: the current target rack
  • Each of the rack identifiers in the identifier set respectively performs the following steps, wherein each of the rack identifiers is the current target rack identifier: obtaining the rated power consumption of the rack indicated by the current target rack identifier and the current target rack Determining a power consumption difference between the power consumption of the stored devices in the indicated rack; determining whether the power consumption difference is greater than or equal to the power consumption of the device to be stored, if the power consumption difference is greater than or equal to the device to be stored The power consumption is the current target rack ID as the target rack ID that matches the current parameter.
  • the target rack identifier that matches the rated power consumption is sequentially found from the current target rack identifier set by using the rated power consumption as the current parameter of the device to be stored.
  • each of the above rack identifiers can be used as the current target rack identifier.
  • the target rack set matching the rated power consumption of the device to be stored can be automatically found according to the rated power consumption of the device to be stored, without manually performing statistical calculation, thereby reducing the manual workload. , improve the efficiency of operation and maintenance.
  • the current parameter includes the weight of the device to be stored
  • the processing unit 542 determines, by using the following step, the target rack identifier that matches the current parameter from the current target rack identifier set: the current target rack identifier set.
  • Each of the rack identifiers respectively performs the following steps, wherein each of the rack identifiers is used as a current target rack identifier: obtaining a load of the rack indicated by the current target rack identifier and indicating the current target rack identifier a weight difference between the weights of the stored devices in the rack; determining whether the weight difference is greater than or equal to the weight of the device to be stored, and if the weight difference is greater than or equal to the mass of the device to be stored, the current target machine
  • the shelf ID is the target chassis ID that matches the current parameter.
  • the target rack identifier that matches the weight of the device to be stored is sequentially found from the current target rack identifier set.
  • each of the above rack identifiers is used as the current target rack identifier.
  • the target rack set matching the weight of the device to be stored can be automatically found according to the weight of the device to be stored, without manual calculation, thereby reducing the manual workload and improving the operation.
  • the efficiency of the dimension is further realized.
  • the current parameter includes the U-bit space occupied by the device to be stored
  • the processing unit 542 finds a target chassis identifier that matches the current parameter from the current target chassis identifier set by using the following steps: Performing the following steps separately for each rack identifier in the current target rack identifier set, wherein each rack identifier is the current target rack identifier: obtaining the rated U bit of the rack indicated by the current target rack identifier a first spatial difference between the number of spaces and the number of U-bit spaces of the devices stored in the rack indicated by the current target rack identifier; determining whether the first spatial difference is greater than or equal to the U-bit space of the device to be stored If the first spatial difference is greater than or equal to the U-bit space of the device to be stored, the current target chassis identifier is used as the target chassis identifier that matches the current parameter.
  • the current target rack identifier set is sequentially found to match the U-bit space occupied by the device to be stored.
  • Target rack ID the U-bit space occupied by the device to be stored.
  • the number of U-bit spaces occupied by the device to be stored includes, but is not limited to, the number of unit spaces occupied by the device to be stored in U, and each of the above-mentioned rack identifiers is used as the current target rack identifier.
  • the above-mentioned unit further realizes that the target rack set matching the number of U-bit spaces occupied by the device to be stored can be automatically found according to the U-bit space occupied by the device to be stored, without manually performing statistical calculation. Reduce the labor workload and improve the efficiency of operation and maintenance.
  • FIG. 8 is a structural block diagram 3 of a device for searching for a storage location of a device according to an embodiment of the present invention. As shown in FIG. 8, the processing unit 542 further includes:
  • the first determining sub-unit 5422 is configured to determine whether the number of U-bit spaces occupied by the device to be stored is greater than a first predetermined threshold after the first spatial difference is greater than or equal to the U-bit space of the device to be stored;
  • the first setting sub-unit 5424 is configured to obtain the continuous U in the vacant U-bit space of the unstoring device when the number of U-bit spaces occupied by the device to be stored is greater than the first predetermined threshold.
  • the second spatial difference is smaller than the number of U-bit spaces occupied by the device to be stored; and the second spatial difference is greater than or equal to the U-bit space of the device to be stored, if the second spatial difference is greater than Equal to the U-bit space of the device to be stored, the current target rack identifier is used as the target rack identifier that matches the current parameter;
  • the second setting subunit 5426 is configured to set the current target rack identifier as a target rack identifier matching the current parameter when the number of U bit spaces occupied by the device to be stored is less than or equal to the first predetermined threshold. .
  • the first spatial difference is greater than or equal to the U-bit space of the device to be stored
  • the current target rack ID is the target rack ID that matches the current parameter.
  • the current target rack identifier is used as the target rack identifier that matches the current parameter, and No further judgment is required.
  • the first predetermined threshold involved in the above steps may be 1U.
  • the first spatial difference involved in the above steps is 1 U, 2 U, 3 U, 1 U. If the U space occupied by the device to be stored is 2 U, the second spatial difference is 1 U, 2 U.
  • the above-mentioned unit further realizes that the target rack set matching the number of U-bit spaces occupied by the device to be stored can be automatically found according to the U-bit space occupied by the device to be stored, without manually performing statistical calculation. Reduce the labor workload and improve the efficiency of operation and maintenance.
  • FIG. 9 is a structural block diagram of a device for searching for a storage location of a device according to an embodiment of the present invention. As shown in FIG. 9, the first search module 54 further includes:
  • the first obtaining unit 550 is configured to set the target rack identifier in the current target rack identifier set after the N parameters are selected as the target rack identifier that matches the device parameter of the device to be stored. Obtaining a spatial power consumption offset of the rack indicated by the target rack identifier in the current target rack identifier set after the N parameters are selected;
  • a selecting unit 552 configured to select the largest target corresponding to the spatial power consumption offset from the spatial power consumption offset of the rack indicated by the target chassis identifier in the current target rack identifier set Rack identification.
  • the space power consumption offset of the rack indicated by the target rack identifier in the current target rack identifier set can be automatically found, and the target rack set suitable for the storage device to be stored is automatically found, without Manual calculations are performed manually, which reduces the manual workload and improves the efficiency of operation and maintenance.
  • the first obtaining unit 550 implements, by using the following steps, obtaining a spatial power consumption offset of the rack indicated by the target rack identifier in the current target rack identifier set after the N parameters are selected:
  • the rack indicated by the target rack identifier in the current target rack identifier set after the N parameters are selected respectively performs the following steps: obtaining actual power consumption and power consumption average of each unit U bit space in the rack Obtaining the power consumption variance of the rack according to the actual power consumption of the U-bit space of each unit in the rack and the power consumption average; the power consumption variance to be obtained; as the space power consumption of the rack Offset.
  • the sum of the power consumption squares of the above racks may be obtained by making the actual power consumption of each unit U-bit space in the rack and the power consumption mean value, and then obtaining the sum of the squares of the differences respectively.
  • FIG. 3 is a flow chart of a power consumption distribution calculation method for a micro-module data center capacity planning according to the present invention. As shown in FIG. 3, the flowchart includes the following steps:
  • Step S301 reading the U power distribution of the existing devices in each rack, and obtaining the devices corresponding to each U space in the rack and calculating the actual power consumption corresponding to each U space, wherein each U space actual power The actual power consumption is 0. If there is no device in the space, the actual power consumption is 0. If the U number of the corresponding device is N and N is greater than 1, the actual power consumption of the space is The rated power consumption of the device is divided by N;
  • Step S302 the average power consumption of the U space in the computer rack, that is, the average value of the U space power consumption is equal to the total rated power consumption value of the rack divided by the total rated U space of the rack;
  • Step S303 calculating a sum of squares of the difference between the actual power consumption and the power consumption average value of each U space;
  • Step S304 repeating steps S301-S303 until all the calculations of the power consumption variance of the computer rack are completed;
  • step S305 the rack set is sorted according to the power consumption variance from large to small, and a reasonable rack is selected.
  • the space power consumption offset of the rack indicated by the target rack identifier in the current target rack identifier set can be automatically found, and the target rack set suitable for the storage device to be stored is automatically found, without Manual calculations are performed manually, which reduces the manual workload and improves the efficiency of operation and maintenance.
  • FIG. 10 is a block diagram 5 of a device for searching for a device storage location according to an embodiment of the present invention. As shown in FIG. 10, the second search module 56 further includes:
  • the second obtaining unit 562 is configured to sequentially acquire the U bit space from the vacant U bit space in the target rack as the current U bit space;
  • the second processing unit 564 is configured to perform the following operations on the current U-bit space: determining whether the power consumption density of the predetermined number of U-bit spaces adjacent to the two sides of the current U-bit space is less than or equal to a second predetermined threshold, where The predetermined number is greater than the U-bit space occupied by the device to be stored, and is less than one third of the rated U-bit space of the target chassis; if the current U-bit space is adjacent to a predetermined number of U-bit spaces on both sides The power consumption density is less than or equal to the second predetermined threshold
  • the current U-bit space is used as a target space for storing the device to be stored; and the storage location of the device to be stored is searched for the device to be stored in the target space.
  • the power consumption density of the predetermined number of U-bit spaces adjacent to the current U-bit space may be a power consumption density of a predetermined number of U-spaces on the left and right sides of the current U-bit space; the second predetermined threshold value is the work. The corresponding value when the density is the smallest. The following description will be specifically made with reference to FIG. 4.
  • FIG. 4 is a flow chart of a method for calculating a spatial power density according to a micro-module data center capacity plan. As shown in FIG. 4, the flowchart includes the following steps:
  • Step S401 obtaining M number U spaces around the U space to be calculated; wherein the value of M can be freely set within a limited range, and the value of M must be greater than the number of U to be stored, and less than three points of the total U number of the rack. one;
  • Step S402 acquiring power consumption corresponding to M number U spaces
  • Step S403 calculating an average value of the power consumption of the M number U space, as the power consumption density of the U space to be calculated;
  • Step S404 the power consumption density of the free U space in the rack is sorted and outputted from small to large; the U space with the smallest power consumption density is the optimal racking position.
  • step S401 may be to separately obtain M/2 U-spaces to be calculated in the U space, as a basis for calculating the U-space power consumption average.
  • An embodiment of the present invention provides a method for searching for a storage location of a device.
  • a method for searching for a storage location of the device is specifically described in combination with multiple application scenarios.
  • an embodiment of the present invention provides a micro-module data center capacity.
  • Volume management display system including: configuration management database (CMDB) module, data reading and caching module, U space constraint calculation module, power constraint calculation module, weight constraint calculation module, rack power distribution calculation module, U space Power density calculation module, display module (web service, user interface) where:
  • the configuration management database (CMDB) module is mainly set to store the object data of each component of the micromodule data center, including the attributes of the module itself, the attributes of the rack, and the attributes of the IT device, including power consumption, load bearing (weight) ), U space, interrelated relationship, etc.
  • the data center internal micro-module and related rack attribute data can be imported into the database through a table, or can be entered into the database through page modeling.
  • the data reading and caching module accepts the data input by the user transmitted by the web service, reads the data of the relevant module, the rack, and the device, and caches the data.
  • the U space constraint calculation module calculates and filters out the rack that satisfies the space requirement according to the micro-module, the rack, the U-space data of the stored device, and the U-space data of the device to be stored.
  • the power constraint calculation module calculates and filters out the rack that meets the power consumption requirements according to the micromodule, the rack, the stored device power consumption data, and the power consumption data of the device to be stored.
  • the load-bearing constraint calculation module calculates and filters out the rack that meets the load-bearing requirements according to the micro-module, the load-bearing capacity of the rack, the weight data of the stored equipment, and the weight data of the equipment to be stored.
  • the rack power consumption distribution calculation module calculates the most reasonable rack according to the existing IT equipment power consumption and U space distribution of each rack.
  • the U-position power density calculation module calculates the power density of the idle U position according to the power consumption and U-space distribution of the IT equipment in a certain rack.
  • the web service accepts the data entered by the user interface and returns the background calculation result to the user interface.
  • User interface providing a browser-based interface for users to enter data and view results.
  • the display system of the micro-module data center capacity management provided by the embodiment of the present invention combines factors such as space, weight, power consumption distribution, power consumption density, etc., and various factors are combined with each other.
  • the optimal racking position of the equipment is planned to improve the operation and maintenance efficiency.
  • the power consumption distribution of the rack and the U-space power density are proposed as optimization factors, uniform power consumption distribution and space power density, and temperature hotspots can be avoided.
  • the generation which in turn reduces the power consumption of refrigeration.
  • the embodiment optimizes and layouts according to the attributes of the rack and the device itself, and does not require other detecting devices, and the implementation cost is low.
  • FIG. 11 is a schematic diagram of functions and processing procedures of each module of a micro-module data center capacity management system according to an embodiment of the present invention.
  • the system includes eight modules, and configuration management.
  • Database (CMDB) module data reading and caching module, U space constraint calculation module, power constraint calculation module, weighing constraint calculation module, rack power distribution calculation module, U space power density calculation module, display module
  • CMDB Database
  • the calculation and display process of the micro-module data center capacity management includes:
  • S1101 The user inputs data of the newly added IT device on the web page, including but not limited to information such as power consumption, weight, U space, model, asset number, etc. of the IT device, and transmits the data to the web service; during the input process, choose to limit the shelf of the device, such as a data center, a computer room, a micro-module, multiple racks of a micro-module. If you do not select a limited range, you are considered to search for the shelf location inside all data centers;
  • the web service accepts the input data of the interface, and delivers the data to the background, specifically, to the data reading and caching module;
  • the data reading and buffering module receives the IT device data transmitted by the web service, and queries the CMDB to query the attribute data of the micro-module, the rack, and the inventory IT device in the range;
  • the CMDB receives the query request, and returns attribute data of the module, the rack, and the IT device, and the data read and cache module caches the data after receiving the data;
  • the data reading and caching module transfers the cached data to the U space constraint calculation module.
  • S1110 calculates the power consumption density of the idle U space according to the actual power consumption of each U-space of the rack, and obtains the most reasonable location of the IT equipment racking, and transmits the result to the web service, which can select the optimal A position is returned to the page, and the return of the optimal top N number can also be returned for the user to select. (The size of the N number can be freely set. If N is greater than the calculated optimal number of positions, it is returned according to the actual data), wherein the step is completed by the U space power density calculation module;
  • the web service passes the received result to the user interface.
  • the results obtained by the user page can be displayed in the form of a list or in the data center 3D view.
  • the embodiment of the present invention can also be applied to a client program application.
  • the system includes six modules, a configuration management database (CMDB) module, a data reading and caching module, a U space constraint computing module, a power consumption constraint computing module, and a scale.
  • CMDB configuration management database
  • Heavy constraint calculation module rack power consumption distribution calculation module, U space power density calculation module, display module (server interface, client interface).
  • FIG. 12 is a schematic diagram 1 of each module function and processing procedure of a micro-module data center capacity management system according to an embodiment of the present invention.
  • the new IT device corresponds to the device to be stored, and the calculation and display process of the micro-module data center capacity management includes:
  • S1201 The user inputs data of the newly added IT device on the client page, including but not limited to the power consumption, weight, U space, model, asset number, and the like of the IT device, and transmits the data to the server interface; during the input process You can choose to limit the shelf range of the device, such as a data center, a computer room, a micro-module, and multiple racks of a micro-module. Do not choose a standard Wai, it is considered to search for shelves in all data centers;
  • the server interface accepts the input data of the interface, and transmits the data to the data reading and caching module;
  • the data reading and buffering module receives the transmitted IT device data, and queries the CMDB to query the attribute data of the micro-module, the rack, and the inventory IT device in the range;
  • the CMDB receives the query request, and returns the attribute data of the module, the rack, and the IT device, and the data read and cache module caches the data after receiving the data;
  • the data reading and caching module transfers the cached data to the U space constraint calculation module
  • S1206 Calculate and filter out the rack that meets the requirements according to the space constraint of the U space constraint calculation module, and pass the calculation result to the power consumption constraint calculation module;
  • S1209 calculates and filters the rack with the most reasonable power consumption distribution, and transmits the result to the U space power density calculation module, wherein the step is a rack power consumption distribution calculation module;
  • S1210 calculates the power consumption density of the idle U space according to the actual power consumption of each U-space of the rack, and obtains the most reasonable location of the IT equipment, and transmits the result to the server interface; this step can select the most An excellent location is returned to the client page, and the optimal top N number of locations can also be returned for the user to select. (The size of the N number can be freely set. If N is greater than the calculated optimal number of positions, it is returned according to the actual data), wherein the step is performed by the U space power density calculation module;
  • the server interface transmits the received result to the client interface, and the result obtained by the client interface may be displayed in the form of a list, or may be marked in the data center 3D view. display.
  • the embodiment of the present invention is applicable to the capacity management of a common equipment room in addition to the micro-module data center.
  • Most of the racks in the common equipment room are single and have no modular management. Therefore, when capacity management is performed on a common equipment room, it can be divided into three large modules, namely the equipment room modeling module, the modeling data storage module, and the capacity management module. .
  • FIG. 13 is a schematic diagram of functions and processing procedures of each module of a general equipment room capacity management according to an embodiment of the present invention. As shown in FIG. 13, the method includes the following steps:
  • the equipment room modeling module 1301 is configured to orderly organize the racks of the common-class rooms, and model the single-row or multi-row racks into one micro-module data center unit, and the entire common machine room can be modeled into multiple Or a single micro-module data center management unit, which can be modeled by page operation or by configuration file.
  • the modeling data storage module 1302 is configured to input the modeling data obtained by the equipment modeling module 1301 into the configuration management database.
  • the capacity management module 1303 is configured to perform capacity management on the equipment room in the manner of FIGS. 11 and 12.
  • each of the above modules may be implemented by software or hardware.
  • the foregoing may be implemented by, but not limited to, the foregoing modules are all located in the same processor; or, the modules are located in multiple In the processor.
  • Embodiments of the present invention also provide a storage medium.
  • a storage medium may be configured to store program code for performing the following steps:
  • S1 Obtain a device parameter of the device to be stored, where the device parameter is used to indicate a device attribute of the device to be stored;
  • S2 Find a target rack identifier that matches a device parameter of the device to be stored
  • the foregoing storage medium may include, but not limited to, a USB flash drive, a Read-Only Memory (ROM), a Random Access Memory (RAM), a mobile hard disk, and a magnetic memory.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • a mobile hard disk e.g., a hard disk
  • magnetic memory e.g., a hard disk
  • the processor performs the above steps S1 to S3 according to the stored program code in the storage medium.
  • modules or steps of the present invention described above can be implemented by a general-purpose computing device that can be centralized on a single computing device or distributed across a network of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein.
  • the steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps thereof are fabricated as a single integrated circuit module.
  • the invention is not limited to any specific combination of hardware and software.
  • the device parameter of the device to be stored is used, where the device parameter is used to indicate the device attribute of the device to be stored; and the target chassis identifier matching the device parameter of the device to be stored is searched;
  • the target rack indicated by the target rack identifier finds a storage location for storing the device to be stored. That is, by searching for the target rack identifier that matches the device parameters of the device to be stored, and finding the suitable storage device in the target rack indicated by the target rack identifier.
  • the storage location of the storage device eliminates the need for manual statistics and planning device layout, and solves the problem of low efficiency caused by manual query for the location of the device to be stored in the large data center computer room in the related technology, and thus achieves the treatment.
  • the storage device can be automatically planned, and the optimal device layout scheme can be further calculated, and the optimal device placement situation can be recommended for the user through the excellent device layout scheme.

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Abstract

一种设备存放位置的查找方法及装置，其中，该方法包括：获取待存放设备的设备参数，其中，该设备参数用于指示该待存放设备的设备属性（S102）；查找与该待存放设备的设备参数匹配的目标机架标识（S104）；在该目标机架标识所指示的目标机架中查找用于存放该待存放设备的存放位置（S106）。该方法解决了相关技术中在大型数据中心机房中为待存放设备查找摆放位置单靠人工查询造成效率低的问题，进而能够对待存放设备进行自动规划，达到了提高查询效率的效果。

Description

设备存放位置的查找方法及装置 技术领域
本发明实施例涉及通信领域，具体而言，涉及一种设备存放位置的查找方法及装置。
背景技术
随着数据中心技术的发展，大型数据中心机房的建设以及大量IT设备的部署应用，对数据中心机房内的容量管理和优化工作越来越受到重视。尤其是大量的IT设备部署运营后，运维人员需要对整个数据中心IT设备的数量和布局进行梳理和规划，如果不能对数据中心内IT设备进行自动规划以及自动推选最佳排放位置，单靠人工统计和规划设备布局，运维工作人员的工作量会大量增加，并且IT设备不合理的布局，会导致各个机架的功耗分布不均，产生局部温度热点，使空调的制冷能耗增加，并且数据中心内部机架和设备的数量较大，人工统计或者简单的计算很难找到设备的最佳摆放位置。
针对相关技术中，在大型数据中心机房中为待存放设备查找摆放位置单靠人工查询造成效率低不高的问题，尚未提出有效的解决方案。
发明内容
本发明实施例提供了一种设备存放位置的查找方法及装置，以至少解决相关技术中在大型数据中心机房中为待存放设备查找摆放位置单靠人工查询造成效率低的问题。
根据本发明实施例的一个方面，提供了一种设备存放位置的查找方法，包括：获取待存放设备的设备参数，其中，所述设备参数用于指示所述待存放设备的设备属性；查找与所述待存放设备的设备参数匹配的目标机架标识；在所述目标机架标识所指示的目标机架中查找用于存放所述待存放设备的存放位置。
可选地，所述设备参数包括N个参数，N大于等于1，查找与所述待存放设备的设备参数匹配的目标机架标识包括：执行以下步骤，直到所述N个参数均被选择，其中，当前目标机架标识集合的初始值包括：预定的一个或多个机架的标识；从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识，将查找出的目标机架标识作为所述当前目标机架标识集合，并从所述设备参数中选择未被选择过的参数作为所述当前参数；将所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识作为与所述待存放设备的设备参数匹配的目标机架标识。
可选地，所述设备参数至少包括：所述设备参数包括N个参数，N大于等于1，查找与所述待存放设备的设备参数匹配的目标机架标识包括：从预定的一个或多个机架的标识中分别查找出与每个所述参数匹配的目标机架标识，以得到N个目标机架标识集合，其中，每个所述目标机架标识集合中包括与一个所述参数匹配的目标机架标识；从所述N个目标机架标识集合中查找出每个所述目标机架标识集合中都包括的目标机架标识，以作为与所述待存放设备的设备参数匹配的目标机架标识。
可选地，所述当前参数包括所述待存放设备的额定功耗，其中，从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识包括：对所述当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：获取所述当前目标机架标识指示的机架的额定功耗与所述当前目标机架标识指示的机架中已存放的设备的功耗之间的功耗差值；判断所述功耗差值是否大于等于所述待存放设备的功耗，若所述功耗差值大于等于所述待存放设备的功耗，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
可选地，所述当前参数包括所述待存放设备的重量，其中，从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识包括：对所述当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：获取所述当前目标机架标识指示的机架的承重与所述当前目标机架标识指示的机架中已存放的设备的重量之间的重量差值；判断所述重量差值是否大于等于所述待存放设备的重 量，若所述重量差值大于等于所述待存放设备的质量，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
可选地，所述当前参数包括所述待存放设备所占用的U位空间数，其中，从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识包括：对所述当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：获取所述当前目标机架标识指示的机架的额定U位空间数与所述当前目标机架标识指示的机架中已存放的设备的U位空间数之间的第一空间差值；判断所述第一空间差值是否大于等于所述待存放设备的U位空间数，若所述第一空间差值大于等于所述待存放设备的U位空间数，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
可选地，在所述第一空间差值大于等于所述待存放设备的U位空间数之后，还包括：判断所述待存放设备所占用的U位空间数是否大于第一预定阈值；若所述待存放设备所占用的U位空间数大于所述第一预定阈值，则获取所述第一空间差值与未存放设备的空置U位空间中连续U位空间数小于所述待存放设备所占用的U位空间数的第二空间差值；判断所述第二空间差值是否大于等于所述待存放设备的U位空间数，若所述第二空间差值大于等于所述待存放设备的U位空间数，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识；若所述待存放设备所占用的U位空间数小于等于所述第一预定阈值，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
可选地，在将所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识作为与所述待存放设备的设备参数匹配的目标机架标识之后，还包括：获取所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量；从所述当前目标机架标识集合中的目标机架标识所指示的机架的所述空间功耗偏移量中选择最大的所述空间功耗偏移量对应的所述目标机架标识。
可选地，所述获取所述N个参数均被选择之后的所述当前目标机架标 识集合中的目标机架标识所指示的机架的空间功耗偏移量包括：对所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识所指示的机架分别执行以下步骤，获取所述机架中各个单位U位空间的实际功耗与功耗均值；根据所述机架中各个单位U位空间的所述实际功耗与所述功耗均值，获取所述机架的功耗方差；将获取到的所述功耗方差作为所述机架的所述空间功耗偏移量。
可选地，在所述目标机架标识所指示的目标机架中查找用于存放所述待存放设备的存放位置包括：从所述目标机架中的所述空置U位空间中依次获取U位空间作为当前U位空间；对所述当前U位空间执行以下操作：判断所述当前U位空间相邻两侧预定数量的U位空间的功耗密度是否小于等于第二预定阈值，其中，所述预定数量大于所述待存放设备所占用的U位空间数，并且小于所述目标机架的额定U位空间数的三分之一；若所述当前U位空间相邻两侧预定数量的U位空间的功耗密度小于等于所述第二预定阈值，则将所述当前U位空间作为用于存放所述待存放设备的目标空间；在所述目标空间中为所述待存放设备查找存放所述待存放设备的存放位置。
根据本发明实施例的另一方面，提供了一种设备存放位置的查找装置，包括：获取模块，设置为获取待存放设备的设备参数，其中，所述设备参数用于指示所述待存放设备的设备属性；第一查找模块，设置为查找与所述待存放设备的设备参数匹配的目标机架标识；第二查找模块，设置为在所述目标机架标识所指示的目标机架中查找用于存放所述待存放设备的存放位置。
可选地，所述设备参数包括N个参数，N大于等于1，所述第一查找模块包括：第一处理单元，设置为执行以下步骤，直到所述N个参数均被选择，其中，当前目标机架标识集合的初始值包括：预定的一个或多个机架的标识；从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识，将查找出的目标机架标识作为所述当前目标机架标识集合，并从所述设备参数中选择未被选择过的参数作为所述当前参数；第一设置单元，设置为将所述N个参数均被选择之后的所述当前目标机架标识集合中的 目标机架标识作为与所述待存放设备的设备参数匹配的目标机架标识。
可选地，所述设备参数包括N个参数，N大于等于1，所述第一查找模块包括：第一查找单元，设置为从预定的一个或多个机架的标识中分别查找出与每个所述参数匹配的目标机架标识，以得到N个目标机架标识集合，其中，每个所述目标机架标识集合中包括与一个所述参数匹配的目标机架标识；第二设置单元，设置为从所述N个目标机架标识集合中查找出每个所述目标机架标识集合中都包括的目标机架标识，以作为与所述待存放设备的设备参数匹配的目标机架标识。
可选地，所述当前参数包括所述待存放设备的额定功耗，所述处理单元通过以下步骤实现从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识：对所述当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：获取所述当前目标机架标识指示的机架的额定功耗与所述当前目标机架标识指示的机架中已存放的设备的功耗之间的功耗差值；判断所述功耗差值是否大于等于所述待存放设备的功耗，若所述功耗差值大于等于所述待存放设备的功耗，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
可选地，所述当前参数包括所述待存放设备的重量，所述处理单元通过以下步骤实现从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识：对所述当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：获取所述当前目标机架标识指示的机架的承重与所述当前目标机架标识指示的机架中已存放的设备的重量之间的重量差值；判断所述重量差值是否大于等于所述待存放设备的重量，若所述重量差值大于等于所述待存放设备的质量，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
可选地，所述当前参数包括所述待存放设备所占用的U位空间数，其中，所述处理单元通过以下步骤实现从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识：对所述当前目标机架标识集合中的每一个 机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：获取所述当前目标机架标识指示的机架的额定U位空间数与所述当前目标机架标识指示的机架中已存放的设备的U位空间数之间的第一空间差值；判断所述第一空间差值是否大于等于所述待存放设备的U位空间数，若所述第一空间差值大于等于所述待存放设备的U位空间数，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
可选地，所述处理单元还包括：第一判断子单元，设置为在所述第一空间差值大于等于所述待存放设备的U位空间数之后，判断所述待存放设备所占用的U位空间数是否大于第一预定阈值；第一设置子单元，设置为在所述待存放设备所占用的U位空间数大于所述第一预定阈值时，获取所述第一空间差值与未存放设备的空置U位空间中连续U位空间数小于所述待存放设备所占用的U位空间数的第二空间差值；判断所述第二空间差值是否大于等于所述待存放设备的U位空间数，若所述第二空间差值大于等于所述待存放设备的U位空间数，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识；第二设置子单元，设置为在所述待存放设备所占用的U位空间数小于等于所述第一预定阈值时，将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
可选地，所述第一查找模块，还包括：第一获取单元，设置为在将所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识作为与所述待存放设备的设备参数匹配的目标机架标识之后，获取所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量；选择单元，设置为从所述当前目标机架标识集合中的目标机架标识所指示的机架的所述空间功耗偏移量中选择最大的所述空间功耗偏移量对应的所述目标机架标识。
可选地，所述第一获取单元通过以下步骤实现获取所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量：对所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识所指示的机架分别执行以下步骤，获取所述机架中各个单位U位空间的实际功耗与功耗均值；根据所述机架中各个单位U 位空间的所述实际功耗与所述功耗均值，获取所述机架的功耗方差；将获取到的所述功耗方差作为所述机架的所述空间功耗偏移量。
可选地，所述第二查找模块通过以下步骤实现在所述目标机架标识所指示的目标机架中查找用于存放所述待存放设备的存放位置，其中，包括：第二获取单元，设置为从所述目标机架中的所述空置U位空间中依次获取U位空间作为当前U位空间；第二处理单元，设置为对所述当前U位空间执行以下操作：判断所述当前U位空间相邻两侧预定数量的U位空间的功耗密度是否小于等于第二预定阈值，其中，所述预定数量大于所述待存放设备所占用的U位空间数，并且小于所述目标机架的额定U位空间数的三分之一；若所述当前U位空间相邻两侧预定数量的U位空间的功耗密度小于等于所述第二预定阈值时，则将所述当前U位空间作为用于存放所述待存放设备的目标空间；在所述目标空间中为所述待存放设备查找存放所述待存放设备的存放位置。
在本发明实施例中，还提供了一种计算机存储介质，该计算机存储介质可以存储有执行指令，该执行指令用于执行上述实施例中的设备存放位置的查找方法。
通过本发明实施例，采用获取待存放设备的设备参数，其中，该设备参数用于指示该待存放设备的设备属性；查找与该待存放设备的设备参数匹配的目标机架标识；在该目标机架标识所指示的目标机架中查找用于存放该待存放设备的存放位置。即通过查找与待存放设备的设备参数匹配的目标机架标识，并在该目标机架标识指示的目标机架中查找适合待存放设备存放的存放位置，从而无需单靠人工统计和规划设备布局，解决了相关技术中在大型数据中心机房中为待存放设备查找摆放位置单靠人工查询造成效率低的问题，进而达到了对待存放设备能够进行自动规划，进一步能够计算出最优的设备布局方案，并通过该优的设备布局方案为用户推荐出最佳的设备上架位置的效果。
附图说明
此处所说明的附图用来提供对本发明的进一步理解，构成本申请的一部分，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：
图1是根据本发明实施例的设备存放位置的查找方法的流程图；
图2是根据本发明实施例的微模块数据中心容量规划的计算方法流程图；
图3是根据本发明中的微模块数据中心容量规划的功耗分布计算方法流程图；
图4是根据的微模块数据中心容量规划的空间功耗密度计算方法流程图；
图5是根据本发明实施例的设备存放位置的查找装置的结构框图；
图6是根据本发明实施例的设备存放位置的查找装置的结构框图一；
图7是根据本发明实施例的设备存放位置的查找装置的结构框图二；
图8是根据本发明实施例的设备存放位置的查找装置的结构框图三；
图9是根据本发明实施例的设备存放位置的查找装置的结构框图四；
图10是根据本发明实施例的设备存放位置的查找装置的结构框图五；
图11是根据本发明实施例的微模块数据中心容量管理系统的各模块功能以及处理过程示意图；
图12是根据本发明实施例的微模块数据中心容量管理系统的各模块功能以及处理过程示意图一；
图13是根据本发明实施例的普通机房容量管理各模块功能及处理过程示意图。
具体实施方式
下文中将参考附图并结合实施例来详细说明本发明。需要说明的是， 在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互组合。
需要说明的是，本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。
实施例1
在本实施例中提供了一种设备存放位置的查找方法，图1是根据本发明实施例的设备存放位置的查找方法的流程图，如图1所示，该流程包括如下步骤：
步骤S102，获取待存放设备的设备参数，其中，该设备参数用于指示该待存放设备的设备属性；
步骤S104，查找与该待存放设备的设备参数匹配的目标机架标识；
步骤S106，在该目标机架标识所指示的目标机架中查找用于存放该待存放设备的存放位置。
可选地，在本实施例中，上述设备存放位置的查找方法可以但并不限于微模块数据中心智能容量管理、客户端与服务器，浏览器和服务器，普通机房的过程中。不同于相关技术中，对数据中心内IT设备进行规划时，单靠人工统计和规划设备布局，造成运维工作人员的工作量增加，而且由于设备不合理的布局，会导致各个机架的功耗分布不均，产生局部温度热点，使空调的制冷能耗增加，并且数据中心内部机架和设备的数量较大，人工统计或者简单的计算很难找到设备的最佳摆放位置等问题，而是通过查找与待存放设备的设备参数匹配的目标机架标识，并在该目标机架标识指示的目标机架中查找适合待存放设备存放的存放位置，自动规划出适合待存放设备的存放位置，解决了相关技术中在大型数据中心机房中为待存放设备查找摆放位置单靠人工查询造成效率低的问题，进而能够对待存放设备进行自动规划,达到了提高查询效率的效果。
可选地，在本实施例中，步骤S102涉及到的待存放设备的设备参数包括但并不限于：待存放设备的额定功耗、待存放设备的重量、待存放设 备所占用的U位空间数，也并不限于：上述三种参数的组合以及该三种参数与其它参数的组合。
可选地，在本实施例中，查找与待存放设备的设备参数匹配的目标机架标识的方法包括但并不限于：按照上述设备参数依次匹配出目标机架标识；按照上述每一设备参数匹配出对应的目标机架标识集合，并在每一目标机架集合中获取重复出现的目标机架标识。
可选地，在本实施例中，在根据预存放设备的设备参数匹配出目标机架标识之后，还包括但不限于：获取根据预存放设备的设备参数匹配出目标机架标识所指示的机架的空间功耗偏移量，并在空间功耗偏移量中选择最大的空间功耗偏移量对应的目标机架标识作为最终的目标机架标识。
可选地，在该目标机架标识所指示的目标机架中查找用于存放该待存放设备的存放位置的方法包括但并不限于：根据当前U位空间相邻两侧预定数量的U位空间的功耗密度查找待存放设备的存放位置。
下面结合附图，对本实施例作进一步说明。
图2是根据本发明实施例的微模块数据中心容量规划的计算方法流程图，如图2所示，该方法包括以下步骤：
步骤S201：待存放设备时，录入待存放设备的设备参数，其中至少包括重量、额定功耗、U位空间数；
步骤S202：统计所有机架额定U空间和机架中已存设备的U空间，给出满足要求的机架和U空间位置，即机架空置U空间数大于或等于待存放设备U空间数，其中机架空置U空间数等于机架额定U空间数减去机架已存设备U空间数的总和。如果待存放设备U空间数大于1，机架空置U空间数等于机架额定U空间数减去机架已存设备U空间数的总和，减去机架空置U空间中连续空置U数小于待存放设备U空间数的U空间总和，并将满足要求的机架根据所空置的U空间数由大到小排序；
步骤S203：判断是否存在满足条件的机架，如果是，执行步骤S204，如果否，执行步骤S210；
步骤S204：在S202的结果中，统计所有机架额定功耗和机架中已存设备的额定功耗，过滤出满足要求的机架，即机架剩余额定功耗大于或者等于待存放设备的额定功耗，并将满足要求的机架根据所剩余的额定功耗由大到小排序，其中机架剩余额定功耗等于机架额定功耗减去机架已存设备额定功耗的总和；
步骤S205：判断是否存在满足条件的机架，如果是，执行步骤S206，如果否，执行步骤S210；
步骤S206：在S204的结果中，统计所有机架的承重和机架中已存设备的重量，过滤出满足要求的机架，即机架剩余重量数大于或者等于待存放设备的重量，并将满足要求的机架根据所剩余的重量由大到小排序，其中机架剩余重量数等于机架重量限额减去机架中已存设备重量的总和；
步骤S207：判断是否存在满足条件的机架，如果是，执行步骤S208，如果否，执行步骤S210；
步骤S208：根据微模块各机架的功耗分布，在206的结果中根据功耗分布排序，给用户推荐出最合理的机架；
步骤S209：根据机架空置U空间的功耗密度，在S208的结果中，给出功耗密度由低到高排序，推荐功耗密度最低的U空间给用户；
步骤S210：输出结果。
需要说明的是，在上述步骤S208中，最合理上架位置的评价方法原理，即最合理的功耗密度分布是该机架每个U空间的功耗相同，最不合理的分布是，单个U空间占据了机架所有额定功耗。
通过本发明实施例，采用获取待存放设备的设备参数，其中，该设备参数用于指示该待存放设备的设备属性；查找与该待存放设备的设备参数匹配的目标机架标识；在该目标机架标识所指示的目标机架中查找用于存放该待存放设备的存放位置。即通过查找与待存放设备的设备参数匹配的目标机架标识，并在该目标机架标识指示的目标机架中查找适合待存放设备存放的存放位置，从而无需单靠人工统计和规划设备布局，解决了相关 技术中在大型数据中心机房中为待存放设备查找摆放位置单靠人工查询造成效率低、准确度不高的问题，进而能够对待存放设备进行自动规划，进一步计算出最优的设备布局方案，并根据最优的设备布局方案推荐出最佳的设备上架位置的效果。
在一个可选的实施方式中，上述设备参数包括N个参数，N大于等于1，查找与该待存放设备的设备参数匹配的目标机架标识包括执行以下步骤，直到该N个参数均被选择：
步骤S11，从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识，将查找出的目标机架标识作为该当前目标机架标识集合，并从该设备参数中选择未被选择过的参数作为该当前参数；
步骤S12，将该N个参数均被选择之后的该当前目标机架标识集合中的目标机架标识作为与该待存放设备的设备参数匹配的目标机架标识。
需要说明的是，上述当前目标机架标识集合的初始值包括：预定的一个或多个机架的标识。
对于上述步骤S11和步骤S12具体结合以下示例，进行举例说明。
例如，假设当前目标机架标识集合包括：1、2、3、4，当从N个参数中取出其中一个参数与上述当前机架标识进行匹配，得到匹配结果并且按照匹配度进行排序的结果为2、1、3、4，接着从N个参数中取出又一参数与上述匹配后得到的机架标识集合排序的结果进行匹配，得到匹配结果并且匹配结果的排序为3、2、1、4，依次循环，直至N个设备参数都被选择并匹配后，得到一个最后的机架标识集合匹配结果，从中可以取排序在前面的机架标识作为目标机架标识。
通过上述步骤S11和步骤S12，实现了可以根据待存放设备的设备参数，自动查找出与待存放设备的设备参数匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量。
在一个可选的实施方式中，设备参数至少包括：该设备参数包括N个参数，N大于等于1，查找与该待存放设备的设备参数匹配的目标机架标 识包括以下步骤：
步骤S21，从预定的一个或多个机架的标识中分别查找出与每个该参数匹配的目标机架标识，以得到N个目标机架标识集合，其中，每个该目标机架标识集合中包括与一个该参数匹配的目标机架标识；
步骤S22，从该N个目标机架标识集合中查找出每个该目标机架标识集合中都包括的目标机架标识，以作为与该待存放设备的设备参数匹配的目标机架标识。
对于上述步骤S21和步骤S22具体结合以下示例，进行举例说明。
例如，假设当前目标机架标识集合包括：1、2、3、4，当从N个参数中取出其中一个参数与上述当前机架标识进行匹配，得到第一匹配结果，并且按照匹配度对第一匹配结果进行排序的结果为2、1、3、4，接着从N个参数中取出又一参数与当前目标机架标识集合具体是1、2、3、4进行匹配，得到第二匹配结果，并且按照匹配度对第二匹配结果进行排序的结果为3、2、1、4，依次循环，直至N个设备参数都被选择并匹配后，从上述多个匹配结果中取排在前三的机架标识，并且从中获取在每一匹配结果中都出现的机架标识作为目标机架标识。
通过上述步骤S21和步骤S22，实现了可以根据待存放设备的设备参数，自动查找出与待存放设备的设备参数匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量。
在一个可选的实施例方式中，该当前参数包括该待存放设备的额定功耗，其中，从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识包括：对该当前目标机架标识集合中的每一个机架标识分别执行以下步骤：
步骤S31，获取该当前目标机架标识指示的机架的额定功耗与该当前目标机架标识指示的机架中已存放的设备的功耗之间的功耗差值；
步骤S32，判断该功耗差值是否大于等于该待存放设备的功耗，若该功耗差值大于等于该待存放设备的功耗，则将该当前目标机架标识作为与 该当前参数匹配的目标机架标识。
可选地，在本实施例中，通过额定功耗作为待存放设备的当前参数，依次从当前目标机架标识集合中查找出与额定功耗匹配的目标机架标识。
需要说明的是，上述每一个机架标识可以作为当前目标机架标识。
通过上述步骤S31和步骤S32，进一步实现了可以根据待存放设备的额定功耗，自动查找出与待存放设备的额定功耗匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
在一个可选实施方式中，该当前参数包括该待存放设备的重量，其中，从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识包括：对该当前目标机架标识集合中的每一个机架标识分别执行以下步骤：
步骤S41,获取该当前目标机架标识指示的机架的承重与该当前目标机架标识指示的机架中已存放的设备的重量之间的重量差值；
步骤S42，判断该重量差值是否大于等于该待存放设备的重量，若该重量差值大于等于该待存放设备的质量，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识。
可选地，在本实施例中，通过将待存放设备的重量作为当前参数，依次从当前目标机架标识集合中查找出与待存放设备的重量匹配的目标机架标识。
需要说明的是，上述每一个机架标识作为当前目标机架标识。
通过上述步骤S41和步骤S42，进一步实现了可以根据待存放设备的重量，自动查找出与待存放设备的重量匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
在一个可选实施方式中，该当前参数包括该待存放设备所占用的U位空间数，其中，从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识包括：对该当前目标机架标识集合中的每一个机架标识分别执行以下步骤：
步骤S51,获取该当前目标机架标识指示的机架的额定U位空间数与该当前目标机架标识指示的机架中已存放的设备的U位空间数之间的第一空间差值；
步骤S52,判断该第一空间差值是否大于等于该待存放设备的U位空间数，若该第一空间差值大于等于该待存放设备的U位空间数，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识。
可选地，在本实施例中，通过将待存放设备所占用的U位空间数作为当前参数，依次从当前目标机架标识集合中查找出与待存放设备所占用的U位空间数匹配的目标机架标识。
需要说明的是，待存放设备所占用的U位空间数包括但并不限于以U为计算单位，待存放设备所占用的单位空间数，上述每一个机架标识作为当前目标机架标识。
通过上述步骤S51和步骤S52，进一步实现了可以根据待存放设备所占用的U位空间数，自动查找出与待存放设备所占用的U位空间数匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
在一个可选实施方式中，在上述步骤S52涉及到第一空间差值大于等于该待存放设备的U位空间数之后，还包括如下步骤：
步骤S61，判断该待存放设备所占用的U位空间数是否大于第一预定阈值；
步骤S62，若该待存放设备所占用的U位空间数大于该第一预定阈值，则获取该第一空间差值与未存放设备的空置U位空间中连续U位空间数小于该待存放设备所占用的U位空间数的第二空间差值；判断该第二空间差值是否大于等于该待存放设备的U位空间数，若该第二空间差值大于等于该待存放设备的U位空间数，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识；
步骤S63，若该待存放设备所占用的U位空间数小于等于该第一预定 阈值，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识。
可选地，本实施例中，第一空间差值大于等于该待存放设备的U位空间数之后，还要进一步判断待存放设备所占用的U位空间数是否大于第一预定阈值，如果判断待存放设备所占用的U位空间数大于第一预定阈值，再计算该第一空间差值与未存放设备的空置U位空间中连续U位空间数小于该待存放设备所占用的U位空间数的第二空间差值，判断该第二空间差值是否大于等于该待存放设备的U位空间数，若该第二空间差值大于等于该待存放设备的U位空间数，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识。
可选地，在本实施例中，若待存放设备所占用的U位空间数小于等于该第一预定阈值，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识，而无需做进一步判断。
需要说明的是，上述步骤涉及的第一预定阈值可以为1U。
具体结合以下示例，对上述步骤S62进行举例说明。
例如，假设当前目标机架标识对应的机架，总共为8U,其中从上到下占用的U空间数分别为1U、2U、3U、1U、1U，而且第4个位置的1U被占用，那么上述步骤中涉及到的第一空间差值为1U、2U、3U、1U，如果待存放设备所占用的U空间数为2U，那么上述第二空间差值为第一空间差值1U、2U、3U、1U减去最后的1U，因为与该1U连续的U空间即空间数为3U的已经被占用，并不能作为用来存放待存放设备，所以第二空间差值只有剩余的1U、2U、3U能够安放待存放设备。
通过上述步骤S61至步骤S63，进一步实现了可以根据待存放设备所占用的U位空间数，自动查找出与待存放设备所占用的U位空间数匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
在一个可选实施方式中，在将该N个参数均被选择之后的该当前目标机架标识集合中的目标机架标识作为与该待存放设备的设备参数匹配的 目标机架标识之后，还包括如下步骤：
步骤S71，获取该N个参数均被选择之后的该当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量；
步骤S72，从该当前目标机架标识集合中的目标机架标识所指示的机架的该空间功耗偏移量中选择最大的该空间功耗偏移量对应的该目标机架标识。
通过上述步骤S71至步骤S72，进一步实现了可以根据当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量，自动查找出适合待存放设备存放的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
在一个可选实施方式中，获取该N个参数均被选择之后的该当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量包括对该N个参数均被选择之后的该当前目标机架标识集合中的目标机架标识所指示的机架分别执行以下步骤：
步骤S81，获取该机架中各个单位U位空间的实际功耗与功耗均值；
步骤S82，根据该机架中各个单位U位空间的该实际功耗与该功耗均值，获取该机架的功耗方差；
步骤S83，将获取到的该功耗方差作为该机架的该空间功耗偏移量。
需要说明的是，上述机架的功耗方差可以是将机架中各个单位U位空间的实际功耗与功耗均值做差，再分别求差值的平方和得到。
下面具体结合附图3进行说明。
图3是根据本发明中的微模块数据中心容量规划的功耗分布计算方法流程图，如图3所示，该流程图包括如下步骤：
步骤S301，读取各机架已存设备的U功率分布，得出机架内每个U空间所对应的设备以及计算得出每个U空间对应的实际功耗，其中每个U空间实际功耗为该空间所在设备的额定功耗分布，如果该空间无设备，则 实际功耗为0，如果该空间对应设备的U数为N，且N大于1，则该空间的实际功耗为该设备的额定功耗值除以N；
步骤S302，计算机架内U空间的功耗均值，即U空间功耗均值等于机架总的额定功耗数值除以机架总的额定U空间数；
步骤S303，计算各U空间实际功耗与功耗均值差值的平方和；
步骤S304，根据步骤S303计算的偏移程度结果，由大到小对机架集合进行排序，选出合理机架。
通过上述步骤S81至步骤S83，进一步实现了可以根据当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量，自动查找出适合待存放设备存放的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
在一个可选实施方式中，在该目标机架标识所指示的目标机架中查找用于存放该待存放设备的存放位置包括，从该目标机架中的该空置U位空间中依次获取U位空间作为当前U位空间，然后对该当前U位空间执行以下操作：
步骤S91，判断该当前U位空间相邻两侧预定数量的U位空间的功耗密度是否小于等于第二预定阈值，其中，该预定数量大于该待存放设备所占用的U位空间数，并且小于该目标机架的额定U位空间数的三分之一；
步骤S92，若该当前U位空间相邻两侧预定数量的U位空间的功耗密度小于等于该第二预定阈值，则将该当前U位空间作为用于存放该待存放设备的目标空间；
步骤S93，在该目标空间中为该待存放设备查找存放该待存放设备的存放位置。
需要说明的是，上述当前U位空间相邻两侧预定数量的U位空间的功耗密度可以为当前U位空间左右两侧预定数量的U空间的功耗密度；上述第二预定阈值为功耗密度为最小时对应的取值。
下面具体结合附图4进行说明。
图4是根据的微模块数据中心容量规划的空间功耗密度计算方法流程图，如图4所示，该流程图包括如下步骤：
步骤S401，获取待计算U空间的周围M个数U空间；其中M的数值在限定范围内可自由设定，M的数值必须大于待存放设备U数，且小于机架总U数的三分之一；
步骤S402，获取M个数U空间对应的功耗；
步骤S403，计算M个数U空间功耗的均值，作为待计算U空间的功耗密度；
步骤S404，对机架内空闲U空间的功耗密度从小到大排序输出；功耗密度最小的U空间，即为最佳上架位置。
例如,步骤S401可以是分别获取待计算U空间左右M/2个U空间，作为计算U空间功耗均值的依据。
通过上述步骤S91至步骤S93，解决了相关技术中在大型数据中心机房中为待存放设备查找摆放位置单靠人工查询造成效率低、准确度不高的问题，进而达到了对待存放设备能够进行自动规划、计算出最优的设备布局方案、推荐出最佳的设备上架位置的效果。
进一步地，本发明主要目的在于提供一种微模块数据中心智能容量管理的方法，结合了空间、重量、功耗分布，功耗密度等因素，多方面因素相互结合，自动规划出设备的最佳上架位置，提升了运维效率，同时提出对机架的功耗分布和U空间功耗密度作为优化因素，均匀的功耗分布和空间功耗密度，可以避免温度热点的产生，进而降低制冷的功耗。
进一步地，本实施例根据机架和设备自身的属性进行优化和布局，无需其他检测设备，实施成本低。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到根据上述实施例的方法可借助软件加必需的通用硬件平台的方式来实现，当 然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本发明的技术方案本质上或者说对相关技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，或者网络设备等)执行本发明各个实施例所述的方法。
实施例2
在本实施例中还提供了一种设备存放位置的查找装置，该装置用于实现上述实施例及优选实施方式，已经进行过说明的不再赘述。如以下所使用的，术语“模块”可以实现预定功能的软件和/或硬件的组合。尽管以下实施例所描述的装置较佳地以软件来实现，但是硬件，或者软件和硬件的组合的实现也是可能并被构想的。
图5是根据本发明实施例的设备存放位置的查找装置的结构框图，如图5所示，该装置包括：
1)获取模块52，设置为获取待存放设备的设备参数，其中，该设备参数设置为指示该待存放设备的设备属性；
2)第一查找模块54，设置为查找与该待存放设备的设备参数匹配的目标机架标识；
3)第二查找模块56，设置为在该目标机架标识所指示的目标机架中查找用于存放该待存放设备的存放位置。
可选地，在本实施例中，上述设备存放位置的查找装置可以但并不限于微模块数据中心智能容量管理的过程中、客户端与服务器，浏览器和服务器，普通机房的过程中。不同于相关技术中，对数据中心内IT设备进行规划时，单靠人工统计和规划设备布局，造成运维工作人员的工作量增加，而且由于设备不合理的布局，会导致各个机架的功耗分布不均，产生局部温度热点，使空调的制冷能耗增加，并且数据中心内部机架和设备的数量较大，人工统计或者简单的计算很难找到设备的最佳摆放位置等问题， 而是通过查找与待存放设备的设备参数匹配的目标机架标识，并在该目标机架标识指示的目标机架中查找适合待存放设备存放的存放位置，自动规划出适合待存放设备的存放位置，解决了相关技术中在大型数据中心机房中为待存放设备查找摆放位置单靠人工查询造成效率低的问题，进而能够对待存放设备进行自动规划,达到了提高查询效率的效果。
可选地，在本实施例中，步骤S102涉及到的待存放设备的设备参数包括但并不限于：待存放设备的额定功耗、待存放设备的重量、待存放设备所占用的U位空间数，也并不限于：上述三种参数的组合以及该三种参数与其它参数的组合。
可选地，在本实施例中，查找与待存放设备的设备参数匹配的目标机架标识的装置包括但并不限于：按照上述设备参数依次匹配出目标机架标识；按照上述每一设备参数匹配出对应的目标机架标识集合，并在每一目标机架集合中获取重复出现的目标机架标识。
可选地，在本实施例中，在根据预存放设备的设备参数匹配出目标机架标识之后，还包括但不限于：获取根据预存放设备的设备参数匹配出目标机架标识所指示的机架的空间功耗偏移量，并在空间功耗偏移量中选择最大的空间功耗偏移量对应的目标机架标识作为最终的目标机架标识。
可选地，在该目标机架标识所指示的目标机架中查找用于存放该待存放设备的存放位置的装置包括但并不限于：根据当前U位空间相邻两侧预定数量的U位空间的功耗密度查找待存放设备的存放位置。
下面结合附图，对本实施例做进一步说明。
图2是根据本发明实施例的微模块数据中心容量规划的计算方法流程图，如图2所示，该方法包括以下步骤：
步骤S201：待存放设备时，录入待存放设备的设备参数，其中至少包括重量、额定功耗、U位空间数；
步骤S202：统计所有机架额定U空间和机架中已存设备的U空间，给出满足要求的机架和U空间位置，即机架空置U空间数大于或等于待 存放设备U空间数，其中机架空置U空间数等于机架额定U空间数减去机架已存设备U空间数的总和。如果待存放设备U空间数大于1，机架空置U空间数等于机架额定U空间数减去机架已存设备U空间数的总和，减去机架空置U空间中连续空置U数小于待存放设备U空间数的U空间总和，并将满足要求的机架根据所空置的U空间数由大到小排序；
步骤S203：判断是否存在满足条件的机架，如果是，执行步骤S204，如果否，执行步骤S210；
步骤S204：在S202的结果中，统计所有机架额定功耗和机架中已存设备的额定功耗，过滤出满足要求的机架，即机架剩余额定功耗大于或者等于待存放设备的额定功耗，并将满足要求的机架根据所剩余的额定功耗由大到小排序，其中机架剩余额定功耗等于机架额定功耗减去机架已存设备额定功耗的总和；
步骤S205：判断是否存在满足条件的机架，如果是，执行步骤S206，如果否，执行步骤S210；
步骤S206：在S204的结果中，统计所有机架的承重和机架中已存设备的重量，过滤出满足要求的机架，即机架剩余重量数大于或者等于待存放设备的重量，并将满足要求的机架根据所剩余的重量由大到小排序，其中机架剩余重量数等于机架重量限额减去机架中已存设备重量的总和；
步骤S207：判断是否存在满足条件的机架，如果是，执行步骤S208，如果否，执行步骤S210；
步骤S208：根据微模块各机架的功耗分布，在206的结果中根据功耗分布排序，给用户推荐出最合理的机架；
步骤S209：根据机架空置U空间的功耗密度，在S208的结果中，给出功耗密度由低到高排序，推荐功耗密度最低的U空间给用户；
步骤S210：输出结果。
需要说明的是，在上述步骤S208中，最合理上架位置的评价方法原理，即最合理的功耗密度分布是该机架每个U空间的功耗相同，最不合理 的分布是，单个U空间占据了机架所有额定功耗。
通过本发明实施例，采用获取待存放设备的设备参数，其中，该设备参数用于指示该待存放设备的设备属性；查找与该待存放设备的设备参数匹配的目标机架标识；在该目标机架标识所指示的目标机架中查找用于存放该待存放设备的存放位置。即通过查找与待存放设备的设备参数匹配的目标机架标识，并在该目标机架标识指示的目标机架中查找适合待存放设备存放的存放位置，从而无需单靠人工统计和规划设备布局，解决了相关技术中在大型数据中心机房中为待存放设备查找摆放位置单靠人工查询造成效率低、准确度不高的问题，进而能够对待存放设备进行自动规划，进一步计算出最优的设备布局方案，并根据最优的设备布局方案推荐出最佳的设备上架位置的效果。
图6是根据本发明实施例的设备存放位置的查找装置的结构框图一，如图6所示，该装置中的设备参数包括N个参数，N大于等于1，其中涉及到图5的第一查找模块54，包括：
1)第一处理单元542，设置为执行以下步骤，直到该N个参数均被选择，其中，当前目标机架标识集合的初始值包括：预定的一个或多个机架的标识；从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识，将查找出的目标机架标识作为该当前目标机架标识集合，并从该设备参数中选择未被选择过的参数作为该当前参数；
2)第一设置单元544，设置为将该N个参数均被选择之后的该当前目标机架标识集合中的目标机架标识作为与该待存放设备的设备参数匹配的目标机架标识。
需要说明的是，上述当前目标机架标识集合的初始值包括：预定的一个或多个机架的标识。
对于上述模块具体结合以下示例，进行举例说明。
例如，假设当前目标机架标识集合包括：1、2、3、4，当从N个参数中取出其中一个参数与上述当前机架标识进行匹配，得到匹配结果并且按 照匹配度进行排序的结果为2、1、3、4，接着从N个参数中取出又一参数与上述匹配后得到的机架标识集合排序的结果进行匹配，得到匹配结果并且匹配结果的排序为3、2、1、4，依次循环，直至N个设备参数都被选择并匹配后，得到一个最后的机架标识集合匹配结果，从中可以取排序在前面的机架标识作为目标机架标识。
通过上述模块实现了可以根据待存放设备的设备参数，自动查找出与待存放设备的设备参数匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量。
图7是根据本发明实施例的设备存放位置的查找装置的结构框图二，如图7所示，该装置涉及的设备参数包括N个参数，N大于等于1，其中第一查找模块54包括：
1)第一查找单元546，设置为从预定的一个或多个机架的标识中分别查找出与每个该参数匹配的目标机架标识，以得到N个目标机架标识集合，其中，每个该目标机架标识集合中包括与一个该参数匹配的目标机架标识；
2)第二设置单元548，设置为从该N个目标机架标识集合中查找出每个该目标机架标识集合中都包括的目标机架标识，以作为与该待存放设备的设备参数匹配的目标机架标识。
对于上述单元具体结合以下示例，进行举例说明。
例如，假设当前目标机架标识集合包括：1、2、3、4，当从N个参数中取出其中一个参数与上述当前机架标识进行匹配，得到第一匹配结果，并且按照匹配度对第一匹配结果进行排序的结果为2、1、3、4，接着从N个参数中取出又一参数与当前目标机架标识集合具体为1、2、3、4进行匹配，得到第二匹配结果，并且按照匹配度对第二匹配结果进行排序的结果为3、2、1、4，依次循环，直至N个设备参数都被选择并匹配后，从上述多个匹配结果中取排在前三的机架标识，并且从中获取在每一匹配结果中都出现的机架标识作为目标机架标识。
通过上述单元，实现了可以根据待存放设备的设备参数，自动查找出 与待存放设备的设备参数匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量。
可选地，当前参数包括该待存放设备的额定功耗，该处理单元542通过以下步骤实现从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识：对该当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，该每一个机架标识作为当前目标机架标识：获取该当前目标机架标识指示的机架的额定功耗与该当前目标机架标识指示的机架中已存放的设备的功耗之间的功耗差值；判断该功耗差值是否大于等于该待存放设备的功耗，若该功耗差值大于等于该待存放设备的功耗，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识。
可选地，在本实施例中，通过额定功耗作为待存放设备的当前参数，依次从当前目标机架标识集合中查找出与额定功耗匹配的目标机架标识。
需要说明的是，上述每一个机架标识可以作为当前目标机架标识。
通过上述单元，进一步实现了可以根据待存放设备的额定功耗，自动查找出与待存放设备的额定功耗匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
可选地，当前参数包括该待存放设备的重量，该处理单元542通过以下步骤实现从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识：对该当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，该每一个机架标识作为当前目标机架标识：获取该当前目标机架标识指示的机架的承重与该当前目标机架标识指示的机架中已存放的设备的重量之间的重量差值；判断该重量差值是否大于等于该待存放设备的重量，若该重量差值大于等于该待存放设备的质量，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识。
可选地，在本实施例中，通过将待存放设备的重量作为当前参数，依次从当前目标机架标识集合中查找出与待存放设备的重量匹配的目标机架标识。
需要说明的是，上述每一个机架标识作为当前目标机架标识。
通过上述单元，进一步实现了可以根据待存放设备的重量，自动查找出与待存放设备的重量匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
可选地，该当前参数包括该待存放设备所占用的U位空间数，其中，该处理单元542通过以下步骤实现从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识：对该当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，该每一个机架标识作为当前目标机架标识：获取该当前目标机架标识指示的机架的额定U位空间数与该当前目标机架标识指示的机架中已存放的设备的U位空间数之间的第一空间差值；判断该第一空间差值是否大于等于该待存放设备的U位空间数，若该第一空间差值大于等于该待存放设备的U位空间数，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识。
可选地，在本实施例中，通过将待存放设备所占用的U位空间数作为当前参数，依次从当前目标机架标识集合中查找出与待存放设备所占用的U位空间数匹配的目标机架标识。
需要说明的是，待存放设备所占用的U位空间数包括但并不限于以U为计算单位，待存放设备所占用的单位空间数，上述每一个机架标识作为当前目标机架标识。
通过上述单元，进一步实现了可以根据待存放设备所占用的U位空间数，自动查找出与待存放设备所占用的U位空间数匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
图8是根据本发明实施例的设备存放位置的查找装置的结构框图三，如图8所示，处理单元542还包括：
1)第一判断子单元5422，设置为在该第一空间差值大于等于该待存放设备的U位空间数之后，判断该待存放设备所占用的U位空间数是否大于第一预定阈值；
2)第一设置子单元5424，设置为在该待存放设备所占用的U位空间数大于该第一预定阈值时，获取该第一空间差值与未存放设备的空置U位空间中连续U位空间数小于该待存放设备所占用的U位空间数的第二空间差值；判断该第二空间差值是否大于等于该待存放设备的U位空间数，若该第二空间差值大于等于该待存放设备的U位空间数，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识；
3)第二设置子单元5426，设置为在该待存放设备所占用的U位空间数小于等于该第一预定阈值时，将该当前目标机架标识作为与该当前参数匹配的目标机架标识。
可选地，本实施例中，第一空间差值大于等于该待存放设备的U位空间数之后，还要进一步判断待存放设备所占用的U位空间数是否大于第一预定阈值，如果判断待存放设备所占用的U位空间数大于第一预定阈值，再计算该第一空间差值与未存放设备的空置U位空间中连续U位空间数小于该待存放设备所占用的U位空间数的第二空间差值，判断该第二空间差值是否大于等于该待存放设备的U位空间数，若该第二空间差值大于等于该待存放设备的U位空间数，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识。
可选地，在本实施例中，若待存放设备所占用的U位空间数小于等于该第一预定阈值，则将该当前目标机架标识作为与该当前参数匹配的目标机架标识，而无需做进一步判断。
需要说明的是，上述步骤涉及的第一预定阈值可以为1U。
具体结合以下示例，对上述单元进行举例说明。
例如，假设当前目标机架标识对应的机架，总共为8U,其中从上到下占用的U空间数分别为1U、2U、3U、1U、1U，而且第4个位置的1U被占用，那么上述步骤中涉及到的第一空间差值为1U、2U、3U、1U，如果待存放设备所占用的U空间数为2U，那么上述第二空间差值为第一空间差值为1U、2U、3U、1U减去最后的1U，因为与该1U连续的U空间即空间数为3U的已经被占用，并不能作为用来存放待存放设备，所以第 二空间差值只有剩余的1U、2U、3U能够安放待存放设备。
通过上述单元，进一步实现了可以根据待存放设备所占用的U位空间数，自动查找出与待存放设备所占用的U位空间数匹配的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
图9是根据本发明实施例的设备存放位置的查找装置的结构框图四，如图9所示，第一查找模块54，还包括：
1)第一获取单元550，设置为在将该N个参数均被选择之后的该当前目标机架标识集合中的目标机架标识作为与该待存放设备的设备参数匹配的目标机架标识之后，获取该N个参数均被选择之后的该当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量；
2)选择单元552，设置为从该当前目标机架标识集合中的目标机架标识所指示的机架的该空间功耗偏移量中选择最大的该空间功耗偏移量对应的该目标机架标识。
通过上述单元，进一步实现了可以根据当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量，自动查找出适合待存放设备存放的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
可选地，第一获取单元550通过以下步骤实现获取该N个参数均被选择之后的该当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量：对该N个参数均被选择之后的该当前目标机架标识集合中的目标机架标识所指示的机架分别执行以下步骤：获取该机架中各个单位U位空间的实际功耗与功耗均值；根据该机架中各个单位U位空间的该实际功耗与该功耗均值，获取该机架的功耗方差；；将获取到的该功耗方差；作为该机架的该空间功耗偏移量。
需要说明的是，上述机架的功耗平方和可以是将机架中各个单位U位空间的实际功耗与功耗均值做差，再分别求差值的平方和得到。
下面具体结合附图3进行说明。
图3是根据本发明中的微模块数据中心容量规划的功耗分布计算方法流程图，如图3所示，该流程图包括如下步骤：
步骤S301，读取各机架已存设备的U功率分布，得出机架内每个U空间所对应的设备以及计算得出每个U空间对应的实际功耗，其中每个U空间实际功耗为该空间所在设备的额定功耗分布，如果该空间无设备，则实际功耗为0，如果该空间对应设备的U数为N，且N大于1，则该空间的实际功耗为该设备的额定功耗值除以N；
步骤S302，计算机架内U空间的功耗均值，即U空间功耗均值等于机架总的额定功耗数值除以机架总的额定U空间数；
步骤S303，计算各U空间实际功耗与功耗均值差值的平方和；
步骤S304，重复步骤S301～S303直至完成所有待计算机架功耗方差的计算；
步骤S305，根据功耗方差从大到小对机架集合进行排序，选出合理机架。
通过上述单元，进一步实现了可以根据当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量，自动查找出适合待存放设备存放的目标机架集合，而无需单靠人工进行统计计算，减少了人工的工作量，提高了运维的效率。
图10是根据本发明实施例的设备存放位置的查找装置的结构框图五，如图10所示，第二查找模块56，还包括：
1)第二获取单元562，设置为从该目标机架中的该空置U位空间中依次获取U位空间作为当前U位空间；
2)第二处理单元564，设置为对该当前U位空间执行以下操作：判断该当前U位空间相邻两侧预定数量的U位空间的功耗密度是否小于等于第二预定阈值，其中，该预定数量大于该待存放设备所占用的U位空间数，并且小于该目标机架的额定U位空间数的三分之一；若该当前U位空间相邻两侧预定数量的U位空间的功耗密度小于等于该第二预定阈值 时，则将该当前U位空间作为用于存放该待存放设备的目标空间；在该目标空间中为该待存放设备查找存放该待存放设备的存放位置。
需要说明的是，上述当前U位空间相邻两侧预定数量的U位空间的功耗密度可以为当前U位空间左右两侧预定数量的U空间的功耗密度；上述第二预定阈值为功耗密度为最小时对应的取值。下面具体结合附图4进行说明。
图4是根据的微模块数据中心容量规划的空间功耗密度计算方法流程图，如图4所示，该流程图包括如下步骤：
步骤S401，获取待计算U空间的周围M个数U空间；其中M的数值在限定范围内可自由设定，M的数值必须大于待存放设备U数，且小于机架总U数的三分之一；
步骤S402，获取M个数U空间对应的功耗；
步骤S403，计算M个数U空间功耗的均值，作为待计算U空间的功耗密度；
步骤S404，对机架内空闲U空间的功耗密度从小到大排序输出；功耗密度最小的U空间，即为最佳上架位置。
例如,步骤S401可以是分别获取待计算U空间左右M/2个U空间，作为计算U空间功耗均值的依据。
通过上述模块，解决了相关技术中在大型数据中心机房中为待存放设备查找摆放位置单靠人工查询造成效率低、准确度不高的问题，进而达到了对待存放设备能够进行自动规划、计算出最优的设备布局方案、推荐出最佳的设备上架位置的效果。
实施例3
本发明实施例提供了一种设备存放位置的查找方法实施例，本实施例中具体结合多个应用场景来说明上述设备存放位置的查找方法。
作为一种可选的实施例，本发明实施例提供了一种微模块数据中心容 量管理的展示系统，包括：配置管理数据库(CMDB)模块、数据读取与缓存模块、U空间约束计算模块、功耗约束计算模块、重量约束计算模块、机架功耗分布计算模块、U空间功耗密度计算模块、展示模块(web服务、用户界面)其中：
1、配置管理数据库(CMDB)模块，主要设置为存储微模块数据中心各组件的对象数据，包括模块本身的属性，机架的属性，以及IT设备的属性，这些属性包括功耗、承重(重量)、U空间，相互关联关系等。数据中心内部微模块及相关机架属性数据，可通过表格导入该数据库中，也可通过页面建模录入该数据库。
2、数据读取与缓存模块，接受web服务传递过来的用户录入数据，读取相关模块、机架、设备的数据，并缓存。
3、U空间约束计算模块，根据微模块、机架、已存设备U空间数据以及待存放设备的U空间数据，计算并过滤出满足空间要求的机架。
4、功耗约束计算模块，根据微模块、机架、已存设备功耗数据以及待存放设备的功耗数据，计算并过滤出满足功耗要求的机架。
5、承重约束计算模块，根据微模块、机架的承重、已存设备重量数据以及待存放设备重量数据，计算并过滤出满足承重要求的机架。
6、机架功耗分布计算模块，根据各机架已经存在的IT设备功耗和U空间分布，计算出最合理的机架。
7、U位置功耗密度计算模块，根据某一机架中IT设备的功耗和U空间分布，计算出空闲U位置的功耗密度。
8、web服务，接受用户界面录入的数据，并向用户界面返回后台的计算结果。
9、用户界面，提供用户录入数据和查看结果的基于浏览器的界面。
通过本发明实施例所提供的微模块数据中心容量管理的展示系统，结合了空间、重量、功耗分布，功耗密度等因素，多方面因素相互结合，自 动规划出设备的最佳上架位置，提升了运维效率，同时提出对机架的功耗分布和U空间功耗密度作为优化因素，均匀的功耗分布和空间功耗密度，可以避免温度热点的产生，进而降低制冷的功耗。
进一步地，本实施例根据机架和设备自身的属性进行优化和布局，无需其他检测设备，实施成本低。
作为另一种可选的实施例，图11是根据本发明实施例的微模块数据中心容量管理系统的各模块功能以及处理过程示意图，如图11所示，本系统包括八个模块，配置管理数据库(CMDB)模块、数据读取与缓存模块、U空间约束计算模块、功耗约束计算模块、称重约束计算模块、机架功耗分布计算模块、U空间功耗密度计算模块、展示模块(其中包括web服务、用户界面)。
结合图11，其中，新增IT设备和待存放设备对应，微模块数据中心容量管理的计算和展示过程包括：
S1101，用户在web页面录入新增IT设备的数据，包括但不限于IT设备的功耗、重量、U空间、型号、资产编号等信息，将这些数据传递到web服务；在录入过程中，可以选择限定该设备的上架范围，如某个数据中心，某个机房，某个微模块，某个微模块的多个机架。不选择限定范围，则认为是在全部数据中心内部搜索上架位置；
S1102，web服务接受界面的录入数据，传递到后台，具体而言，是传递到数据读取与缓存模块；
S1103，数据读取与缓存模块接收到web服务传递的IT设备数据，据此向CMDB查询范围内微模块、机架和存量IT设备的属性数据；
S1104，CMDB收到查询请求，返回模块、机架和IT设备的属性数据，数据读取与缓存模块收到数据后缓存；
S1105，数据读取与缓存模块将缓存的数据传递到U空间约束计算模块；
S1106，根据U空间约束计算模块的空间约束，计算并过滤出满足要 求的机架，将计算结果传递到功耗约束计算模块；
S1107，根据功耗约束计算模块的功耗约束，计算并过滤出满足要求的机架，将计算结果传递到承重约束计算模块；
S1108，根据承重约束计算模块的承重约束，计算并过滤出满足要求的机架，并将结果传递到机架功耗分布计算模块；
S1109，根据机架功耗分布计算模块的计算方法，计算并过滤出功耗分布最合理的机架，并将结果传递到U空间功耗密度计算模块；
S1110，根据机架各U空间实际的功耗，计算出空闲U空间的功耗密度，据此得出最合理的IT设备上架位置，并将结果传递到web服务，该步骤可以推选出最优的一个位置返回给页面，也可以返回最优的top N个数的返回，供用户选择。(N数的大小可自由设置，如果N大于计算出的最佳位置个数，则按实际数据返回)，其中该步骤由U空间功耗密度计算模块完成；
S1111，web服务将收到的结果传递给用户界面。用户页面对获取的结果，可以以列表的形式展示，也可以在数据中心3D视图中标注显示。
本发明实施例还可以应用在客户端程序应用中所示，系统包括六个模块，配置管理数据库(CMDB)模块、数据读取与缓存模块、U空间约束计算模块、功耗约束计算模块、称重约束计算模块、机架功耗分布计算模块、U空间功耗密度计算模块、展示模块(服务端接口、客户端界面)。
作为又一种可选的实施例，图12是根据本发明实施例的微模块数据中心容量管理系统的各模块功能以及处理过程示意图一。如图12所示，其中，新增IT设备和待存放设备对应，微模块数据中心容量管理的计算和展示过程包括：
S1201，用户在客户端页面录入新增IT设备的数据，包括但不限于IT设备的功耗、重量、U空间、型号、资产编号等信息，将这些数据传递到服务端接口；在录入过程中，可以选择限定该设备的上架范围，如某个数据中心，某个机房，某个微模块，某个微模块的多个机架。不选择限定范 围，则认为是在全部数据中心内部搜索上架位置；
S1202，服务端接口接受界面的录入数据，传递到数据读取与缓存模块；
S1203，数据读取与缓存模块接收到传递的IT设备数据，据此向CMDB查询范围内微模块、机架和存量IT设备的属性数据；
S1204，CMDB收到查询请求，返回模块、机架和IT设备的属性数据，数据读取与缓存模块收到数据后缓存；
S1205，数据读取与缓存模块将缓存的数据传递到U空间约束计算模块；
S1206，根据U空间约束计算模块的空间约束，计算并过滤出满足要求的机架，将计算结果传递到功耗约束计算模块；
S1207，根据功耗约束计算模块的功耗约束，计算并过滤出满足要求的机架，将计算结果传递到承重约束计算模块；
S1208，根据承重约束计算模块的承重约束，计算并过滤出满足要求的机架，并将结果传递到机架功耗分布计算模块；
S1209，根据计算方法，计算并过滤出功耗分布最合理的机架，并将结果传递到U空间功耗密度计算模块，其中该步骤是由机架功耗分布计算模块；
S1210，根据机架各U空间实际的功耗，计算出空闲U空间的功耗密度，据此得出最合理的IT设备上架位置，并将结果传递到服务端接口；该步骤可以推选出最优的一个位置返回给客户端页面，也可以返回最优的top N个数的位置，供用户选择。(N数的大小可自由设置，如果N大于计算出的最佳位置个数，则按实际数据返回)，其中该步骤由U空间功耗密度计算模块；
S1211，服务端接口将收到的结果传递给客户端界面，客户端界面对获取的结果，可以以列表的形式展示，也可以在数据中心3D视图中标注 显示。
本发明的实施例除了微模块数据中心，还适用于普通机房的容量管理。普通机房的机架大多是单个摆放，没有模块化管理，因此对普通机房进行容量管理时，可分为三个大的模块，即机房建模模块，建模数据入库模块，容量管理模块。
作为又一种可选的实施例，图13是根据本发明实施例的普通机房容量管理各模块功能及处理过程示意图，如图13所示，包括如下步骤：
1)机房建模模块1301，设置为对普通级房的机架进行有序整理，将单排或者多排机架，建模为一个微模块数据中心单元，整个普通机房可建模成多个或者单个微模块数据中心管理单元，该模块实现了可通过页面操作进行建模，也可以通过配置文件的形式进行建模。
2)建模数据入库模块1302，设置为将通过机房建模模块1301得到的建模数据录入配置管理数据库中。
3)容量管理模块1303，设置为按照图11和图12的方式对机房进行容量管理。
需要说明的是，上述各个模块是可以通过软件或硬件来实现的，对于后者，可以通过以下方式实现，但不限于此：上述模块均位于同一处理器中；或者，上述模块分别位于多个处理器中。
实施例4
本发明的实施例还提供了一种存储介质。该实施例的应用场景及实例可以参考上述实施例1和实施例2以及实施例3，在此不赘述。在本实施例中，上述存储介质可以被设置为存储用于执行以下步骤的程序代码：
S1，获取待存放设备的设备参数，其中，该设备参数用于指示该待存放设备的设备属性；
S2，查找与该待存放设备的设备参数匹配的目标机架标识；
S3，在该目标机架标识所指示的目标机架中查找用于存放该待存放设 备的存放位置。
可选地，在本实施例中，上述存储介质可以包括但不限于：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
可选地，在本实施例中，处理器根据存储介质中已存储的程序代码执行上述步骤S1至S3。
可选地，本实施例中的具体示例可以参考上述实施例及可选实施方式中所描述的示例，本实施例在此不再赘述。
显然，本领域的技术人员应该明白，上述的本发明的各模块或各步骤可以用通用的计算装置来实现，它们可以集中在单个的计算装置上，或者分布在多个计算装置所组成的网络上，可选地，它们可以用计算装置可执行的程序代码来实现，从而，可以将它们存储在存储装置中由计算装置来执行，并且在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤，或者将它们分别制作成各个集成电路模块，或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。这样，本发明不限制于任何特定的硬件和软件结合。
以上所述仅为本发明的优选实施例而已，并不用于限制本发明，对于本领域的技术人员来说，本发明可以有各种更改和变化。凡在本发明的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本发明的保护范围之内。
工业实用性
在本发明实施例中，采用获取待存放设备的设备参数，其中，该设备参数用于指示该待存放设备的设备属性；查找与该待存放设备的设备参数匹配的目标机架标识；在该目标机架标识所指示的目标机架中查找用于存放该待存放设备的存放位置。即通过查找与待存放设备的设备参数匹配的目标机架标识，并在该目标机架标识指示的目标机架中查找适合待存放设 备存放的存放位置，从而无需单靠人工统计和规划设备布局，解决了相关技术中在大型数据中心机房中为待存放设备查找摆放位置单靠人工查询造成效率低的问题，进而达到了对待存放设备能够进行自动规划，进一步能够计算出最优的设备布局方案，并通过该优的设备布局方案为用户推荐出最佳的设备上架位置的效果。

Claims (20)

  1. 一种设备存放位置的查找方法，包括：
    获取待存放设备的设备参数，其中，所述设备参数用于指示所述待存放设备的设备属性；
    查找与所述待存放设备的设备参数匹配的目标机架标识；
    在所述目标机架标识所指示的目标机架中查找用于存放所述待存放设备的存放位置。
  2. 根据权利要求1所述的方法，其中，所述设备参数包括N个参数，N大于等于1，查找与所述待存放设备的设备参数匹配的目标机架标识包括：
    执行以下步骤，直到所述N个参数均被选择，其中，当前目标机架标识集合的初始值包括：预定的一个或多个机架的标识；从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识，将查找出的目标机架标识作为所述当前目标机架标识集合，并从所述设备参数中选择未被选择过的参数作为所述当前参数；
    将所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识作为与所述待存放设备的设备参数匹配的目标机架标识。
  3. 根据权利要求1所述的方法，其中，所述设备参数至少包括：所述设备参数包括N个参数，N大于等于1，查找与所述待存放设备的设备参数匹配的目标机架标识包括：
    从预定的一个或多个机架的标识中分别查找出与每个所述参数匹配的目标机架标识，以得到N个目标机架标识集合，其中，每个所述目标机架标识集合中包括与一个所述参数匹配的目标机架标识；
    从所述N个目标机架标识集合中查找出每个所述目标机架标识集合中都包括的目标机架标识，以作为与所述待存放设备的设备参数匹配的目标机架标识。
  4. 根据权利要求2所述的方法，其中，所述当前参数包括所述待存放设备的额定功耗，其中，从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识包括：
    对所述当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：
    获取所述当前目标机架标识指示的机架的额定功耗与所述当前目标机架标识指示的机架中已存放的设备的功耗之间的功耗差值；
    判断所述功耗差值是否大于等于所述待存放设备的功耗，若所述功耗差值大于等于所述待存放设备的功耗，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
  5. 根据权利要求2所述的方法，其中，所述当前参数包括所述待存放设备的重量，其中，从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识包括：
    对所述当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：
    获取所述当前目标机架标识指示的机架的承重与所述当前目标机架标识指示的机架中已存放的设备的重量之间的重量差值；
    判断所述重量差值是否大于等于所述待存放设备的重量，若所述重量差值大于等于所述待存放设备的质量，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
  6. 根据权利要求2所述的方法，其中，所述当前参数包括所述待存放设备所占用的U位空间数，其中，从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识包括：
    对所述当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：
    获取所述当前目标机架标识指示的机架的额定U位空间数与所述当前目标机架标识指示的机架中已存放的设备的U位空间数之间的第一空间差值；
    判断所述第一空间差值是否大于等于所述待存放设备的U位空间数，若所述第一空间差值大于等于所述待存放设备的U位空间数，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
  7. 根据权利要求6所述的方法，其中，在所述第一空间差值大于等于所述待存放设备的U位空间数之后，还包括：
    判断所述待存放设备所占用的U位空间数是否大于第一预定阈值；
    若所述待存放设备所占用的U位空间数大于所述第一预定阈值，则获取所述第一空间差值与未存放设备的空置U位空间中连续U位空间数小于所述待存放设备所占用的U位空间数的第二空间差值；判断所述第二空间差值是否大于等于所述待存放设备的U位空间数，若所述第二空间差值大于等于所述待存放设备的U位空间数，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识；
    若所述待存放设备所占用的U位空间数小于等于所述第一预定阈值，则将所述当前目标机架标识作为与所述当前参数匹配的目标机 架标识。
  8. 根据权利要求4-7中任意一项所述的方法，其中，在将所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识作为与所述待存放设备的设备参数匹配的目标机架标识之后，还包括：
    获取所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量；
    从所述当前目标机架标识集合中的目标机架标识所指示的机架的所述空间功耗偏移量中选择最大的所述空间功耗偏移量对应的所述目标机架标识。
  9. 根据权利要求8所述的方法，其中，所述获取所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量包括：
    对所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识所指示的机架分别执行以下步骤，
    获取所述机架中各个单位U位空间的实际功耗与功耗均值；
    根据所述机架中各个单位U位空间的所述实际功耗与所述功耗均值，获取所述机架的功耗方差；
    将获取到的所述功耗方差作为所述机架的所述空间功耗偏移量。
  10. 根据权利要求7所述的方法，其中，在所述目标机架标识所指示的目标机架中查找用于存放所述待存放设备的存放位置包括：
    从所述目标机架中的所述空置U位空间中依次获取U位空间作为当前U位空间；
    对所述当前U位空间执行以下操作：
    判断所述当前U位空间相邻两侧预定数量的U位空间的功耗密度是否小于等于第二预定阈值，其中，所述预定数量大于所述待存放设备所占用的U位空间数，并且小于所述目标机架的额定U位空间数的三分之一；
    若所述当前U位空间相邻两侧预定数量的U位空间的功耗密度小于等于所述第二预定阈值，则将所述当前U位空间作为用于存放所述待存放设备的目标空间；
    在所述目标空间中为所述待存放设备查找存放所述待存放设备的存放位置。
  11. 一种设备存放位置的查找装置，包括：
    获取模块，设置为获取待存放设备的设备参数，其中，所述设备参数用于指示所述待存放设备的设备属性；
    第一查找模块，设置为查找与所述待存放设备的设备参数匹配的目标机架标识；
    第二查找模块，设置为在所述目标机架标识所指示的目标机架中查找用于存放所述待存放设备的存放位置。
  12. 根据权利要求11所述的装置，其中，所述设备参数包括N个参数，N大于等于1，所述第一查找模块包括：
    第一处理单元，设置为执行以下步骤，直到所述N个参数均被选择，其中，当前目标机架标识集合的初始值包括：预定的一个或多个机架的标识；从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识，将查找出的目标机架标识作为所述当前目标机架标识集 合，并从所述设备参数中选择未被选择过的参数作为所述当前参数；
    第一设置单元，设置为将所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识作为与所述待存放设备的设备参数匹配的目标机架标识。
  13. 根据权利要求11所述的装置，其中，所述设备参数包括N个参数，N大于等于1，所述第一查找模块包括：
    第一查找单元，设置为从预定的一个或多个机架的标识中分别查找出与每个所述参数匹配的目标机架标识，以得到N个目标机架标识集合，其中，每个所述目标机架标识集合中包括与一个所述参数匹配的目标机架标识；
    第二设置单元，设置为从所述N个目标机架标识集合中查找出每个所述目标机架标识集合中都包括的目标机架标识，以作为与所述待存放设备的设备参数匹配的目标机架标识。
  14. 根据权利要求12所述的装置，其中，所述当前参数包括所述待存放设备的额定功耗，所述处理单元通过以下步骤实现从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识：
    对所述当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：
    获取所述当前目标机架标识指示的机架的额定功耗与所述当前目标机架标识指示的机架中已存放的设备的功耗之间的功耗差值；
    判断所述功耗差值是否大于等于所述待存放设备的功耗，若所述功耗差值大于等于所述待存放设备的功耗，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
  15. 根据权利要求12所述的装置，其中，所述当前参数包括所述待存放设备的重量，所述处理单元通过以下步骤实现从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识：
    对所述当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：
    获取所述当前目标机架标识指示的机架的承重与所述当前目标机架标识指示的机架中已存放的设备的重量之间的重量差值；
    判断所述重量差值是否大于等于所述待存放设备的重量，若所述重量差值大于等于所述待存放设备的质量，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
  16. 根据权利要求12所述的装置，其中，所述当前参数包括所述待存放设备所占用的U位空间数，其中，所述处理单元通过以下步骤实现从当前目标机架标识集合中查找出与当前参数匹配的目标机架标识：
    对所述当前目标机架标识集合中的每一个机架标识分别执行以下步骤，其中，所述每一个机架标识作为当前目标机架标识：
    获取所述当前目标机架标识指示的机架的额定U位空间数与所述当前目标机架标识指示的机架中已存放的设备的U位空间数之间的第一空间差值；
    判断所述第一空间差值是否大于等于所述待存放设备的U位空间数，若所述第一空间差值大于等于所述待存放设备的U位空间数，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
  17. 根据权利要求16所述的装置，其中，所述处理单元还包括：
    第一判断子单元，设置为在所述第一空间差值大于等于所述待存放设备的U位空间数之后，判断所述待存放设备所占用的U位空间数是否大于第一预定阈值；
    第一设置子单元，设置为在所述待存放设备所占用的U位空间数大于所述第一预定阈值时，获取所述第一空间差值与未存放设备的空置U位空间中连续U位空间数小于所述待存放设备所占用的U位空间数的第二空间差值；判断所述第二空间差值是否大于等于所述待存放设备的U位空间数，若所述第二空间差值大于等于所述待存放设备的U位空间数，则将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识；
    第二设置子单元，设置为在所述待存放设备所占用的U位空间数小于等于所述第一预定阈值时，将所述当前目标机架标识作为与所述当前参数匹配的目标机架标识。
  18. 根据权利要求14-17中任意一项所述的装置，其中，所述第一查找模块，还包括：
    第一获取单元，设置为在将所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识作为与所述待存放设备的设备参数匹配的目标机架标识之后，获取所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识所指示的机架的空间功耗偏移量；
    选择单元，设置为从所述当前目标机架标识集合中的目标机架标识所指示的机架的所述空间功耗偏移量中选择最大的所述空间功耗偏移量对应的所述目标机架标识。
  19. 根据权利要求18所述的装置，其中，所述第一获取单元通过以下步骤实现获取所述N个参数均被选择之后的所述当前目标机 架标识集合中的目标机架标识所指示的机架的空间功耗偏移量：
    对所述N个参数均被选择之后的所述当前目标机架标识集合中的目标机架标识所指示的机架分别执行以下步骤：
    获取所述机架中各个单位U位空间的实际功耗与功耗均值；
    根据所述机架中各个单位U位空间的所述实际功耗与所述功耗均值，获取所述机架的功耗方差；
    将获取到的所述功耗方差作为所述机架的所述空间功耗偏移量。
  20. 根据权利要求17所述的装置，其中，所述第二查找模块包括：
    第二获取单元，设置为从所述目标机架中的所述空置U位空间中依次获取U位空间作为当前U位空间；
    第二处理单元，设置为对所述当前U位空间执行以下操作：
    判断所述当前U位空间相邻两侧预定数量的U位空间的功耗密度是否小于等于第二预定阈值，其中，所述预定数量大于所述待存放设备所占用的U位空间数，并且小于所述目标机架的额定U位空间数的三分之一；
    若所述当前U位空间相邻两侧预定数量的U位空间的功耗密度小于等于所述第二预定阈值时，则将所述当前U位空间作为用于存放所述待存放设备的目标空间；
    在所述目标空间中为所述待存放设备查找存放所述待存放设备的存放位置。
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111045897A (zh) * 2019-12-19 2020-04-21 优刻得科技股份有限公司 对数据中心中的多个资产进行管理的方法、设备
CN113282806A (zh) * 2021-06-28 2021-08-20 携程旅游网络技术（上海）有限公司 设备信息处理方法及装置、设备、介质
CN116468199A (zh) * 2023-04-18 2023-07-21 北京众谊越泰科技有限公司 一种基于u位资产管理系统的智能上架位置预测方法

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109640572A (zh) * 2018-10-16 2019-04-16 平安科技（深圳）有限公司 设备安装方法、装置、终端设备及计算机可读存储介质
CN110175171B (zh) * 2019-05-16 2023-07-07 贵州电网有限责任公司 一种it设备智能推荐上架位置的系统
CN111731887A (zh) * 2019-07-17 2020-10-02 天津市深宏科技开发有限公司 智能自动装载系统及方法
CN111967682B (zh) * 2020-08-24 2023-12-01 科华恒盛股份有限公司 设备上架方案寻优方法、装置及终端设备

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102759951A (zh) * 2011-04-28 2012-10-31 鸿富锦精密工业（深圳）有限公司 机架组装信息配置系统及方法
CN103414587A (zh) * 2013-08-09 2013-11-27 迈普通信技术股份有限公司 一种机架式设备槽位分配方法及装置
CN103743343A (zh) * 2014-01-10 2014-04-23 深圳市共济科技有限公司 一种数据中心it机柜容量检测方法及系统
CN104053321A (zh) * 2014-05-23 2014-09-17 深圳市共济科技有限公司 一种数据中心it设备机柜

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100549961C (zh) * 2006-05-12 2009-10-14 上海惠普有限公司 机架空间分配方法及装置
US8437881B2 (en) * 2008-02-15 2013-05-07 The Pnc Financial Services Group, Inc. Systems and methods for computer equipment management
JP4724730B2 (ja) * 2008-04-09 2011-07-13 株式会社日立製作所 情報処理システムの運用管理方法、運用管理プログラム、および運用管理装置、ならびに情報処理システム
CN102169527B (zh) * 2010-02-26 2015-04-08 国际商业机器公司 一种在数据中心中为设备确定安装机架的方法和系统
CN104794098B (zh) * 2015-04-28 2017-05-10 湖北邮电规划设计有限公司 一种数据中心物理主机及存储设计方法及系统

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102759951A (zh) * 2011-04-28 2012-10-31 鸿富锦精密工业（深圳）有限公司 机架组装信息配置系统及方法
CN103414587A (zh) * 2013-08-09 2013-11-27 迈普通信技术股份有限公司 一种机架式设备槽位分配方法及装置
CN103743343A (zh) * 2014-01-10 2014-04-23 深圳市共济科技有限公司 一种数据中心it机柜容量检测方法及系统
CN104053321A (zh) * 2014-05-23 2014-09-17 深圳市共济科技有限公司 一种数据中心it设备机柜

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111045897A (zh) * 2019-12-19 2020-04-21 优刻得科技股份有限公司 对数据中心中的多个资产进行管理的方法、设备
CN113282806A (zh) * 2021-06-28 2021-08-20 携程旅游网络技术（上海）有限公司 设备信息处理方法及装置、设备、介质
CN116468199A (zh) * 2023-04-18 2023-07-21 北京众谊越泰科技有限公司 一种基于u位资产管理系统的智能上架位置预测方法
CN116468199B (zh) * 2023-04-18 2024-03-19 北京众谊越泰科技有限公司 一种基于u位资产管理系统的智能上架位置预测方法

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