CN107861802A - Method for managing resource and device in cloud data system - Google Patents
Method for managing resource and device in cloud data system Download PDFInfo
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- CN107861802A CN107861802A CN201711000173.3A CN201711000173A CN107861802A CN 107861802 A CN107861802 A CN 107861802A CN 201711000173 A CN201711000173 A CN 201711000173A CN 107861802 A CN107861802 A CN 107861802A
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- resource
- main frame
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/485—Task life-cycle, e.g. stopping, restarting, resuming execution
- G06F9/4856—Task life-cycle, e.g. stopping, restarting, resuming execution resumption being on a different machine, e.g. task migration, virtual machine migration
Abstract
The invention discloses method for managing resource and device in a kind of cloud data system.Methods described includes：The utilization rate information for the resource chosen in advance on main frame is obtained, and the resource is in the state of health data of part corresponding to main frame；According to the utilization rate of the resource and the state of health data of part, it is determined whether the resource on the main frame is managed；After it is determined that being managed to the resource on the main frame, migration operation is performed to the virtual machine on the main frame.
Description
Technical field
The present invention relates to field of information processing, method for managing resource and device in espespecially a kind of cloud data system.
Background technology
Currently, in the market counts greatly absolutely server virtualization product and all provides virtual machine (vm) migration, dynamic resource scheduling etc. virtually
Change Premium Features.And in virtual machine (vm) migration, dynamic resource scheduling Functional Design, generally only by physical host CPU, internal memory, deposit
The utilization rate of storage, network etc. alternatively move target condition, or even some server virtualization products are in migration, purpose master
The selection of machine can be more random, as long as the main frame of network-in-dialing can be used as destination host.Only by host CPU, internal memory, deposit
The utilization rate of storage, network etc. selects the traditional approach of destination host, without considering that the health degree of main frame is migrated, holds very much
Easily cause using operating in above unsound main frame, for the higher application of availability requirement, it is relatively low to operate in health degree
There is larger potential safety hazard in main frame, the machine if the relatively low main frame of health degree is delayed, though there is high availability scheme to protect, or meeting
Bring greater loss.
The content of the invention
In order to solve the above-mentioned technical problem, the invention provides method for managing resource and device in a kind of cloud data system,
The security of system can be improved.
In order to reach the object of the invention, the invention provides method for managing resource in a kind of cloud data system, including：
The utilization rate information for the resource chosen in advance on main frame, and the resource are obtained in the strong of part corresponding to main frame
Health status data；
According to the utilization rate of the resource and the state of health data of part, it is determined whether the resource on the main frame is entered
Row management；
After it is determined that being managed to the resource on the main frame, migration operation is performed to the virtual machine on the main frame.
Wherein, methods described also has following features：State of health data of the resource in part corresponding to main frame
Acquisition is in the following way：
Obtain the title of part corresponding to the resource；
According to the title of the part, health parameters information corresponding to the part is determined；
Real time value corresponding to the health parameters information of the part is gathered by sensor；
According to the weight of each health parameters pre-set and the real time value of the health parameters, the portion is calculated
The state of health data of part.
Wherein, methods described also has following features：It is described according to the utilization rate of the resource and the health status of part
Data, it is determined whether the resource on the main frame is managed, including：
Judge whether the utilization rate of the resource is more than the utilization rate threshold value pre-set；And judge the part
Whether the numerical value of state of health data is more than the healthy threshold value pre-set；
It is more than the numerical value for being utilized rate threshold value and the state of health data more than described in the utilization rate of the resource
During healthy threshold value, it is determined that the management to resource on the main frame operates.
Wherein, methods described also has following features：It is described after it is determined that being managed to the resource on the main frame, it is right
Virtual machine on the main frame performs migration operation, including：
According to the real-time resource utilization of the main frame and the state of health data of the part, determine to need on the main frame
Perform the stock number of migration operation；
Selection can provide the stock number from other main frames, and the numerical value of state of health data is strong what is pre-set
Destination host below health threshold value；
Virtual machine on the main frame is performed into migration operation to the destination host.
Wherein, methods described also has following features：Methods described also includes：
When multiple virtual machines meet triggering migration operation on same main frame, the priority row of the multiple virtual machine is determined
Sequence；
According to the priority ranking, migration operation is performed to the virtual machine on the main frame.
Resource management apparatus in a kind of cloud data system, including：
Acquisition module, for obtaining the utilization rate information for the resource chosen in advance on main frame, and the resource in main frame
The state of health data of corresponding part；
Determining module, for the utilization rate and the state of health data of part according to the resource, it is determined whether to described
Resource on main frame is managed；
Management module, for after it is determined that being managed to the resource on the main frame, to the virtual machine on the main frame
Perform migration operation.
Wherein, described device also has following features：The acquisition module includes：
Acquiring unit, for obtaining the title of part corresponding to the resource；
First determining unit, for the title according to the part, determine health parameters information corresponding to the part；
Collecting unit, for gathering real time value corresponding to the health parameters information of the part by sensor；
Computing unit, the weight of each health parameters pre-set for basis and the real time value of the health parameters,
The state of health data of the part is calculated.
Wherein, described device also has following features：The determining module includes：
Judging unit, for judging whether the utilization rate of the resource is more than the utilization rate threshold value pre-set；And sentence
Whether the numerical value of the state of health data of the disconnected part is more than the healthy threshold value pre-set；
Second determining unit, rate threshold value and the health status number are utilized for being more than in the utilization rate of the resource
According to numerical value be more than the healthy threshold value when, it is determined that on the main frame resource management operate.
Wherein, described device also has following features：The management module includes：
3rd determining unit, for the health status number according to the real-time resource utilization of the main frame and the part
According to determining to need on the main frame to perform the stock number of migration operation；
Determining unit, for selecting that the stock number, and the numerical value of state of health data can be provided from other main frames
Destination host below the healthy threshold value pre-set；
Scheduling unit, for the virtual machine on the main frame to be performed into migration operation to the destination host.
Wherein, described device also has following features：The management module also includes：
4th determining unit, for when multiple virtual machines meet triggering migration operation on same main frame, determining described more
The priority ranking of individual virtual machine；
Wherein, the scheduling unit performs migration operation according to the priority ranking to the virtual machine on the main frame.
Embodiment provided by the invention, the resource utilization of main frame and the health degree of associated components are obtained, passes through main frame
Resource utilization, whether the virtual machine for determining to run on the main frame is the application for carrying High Availabitity, then passes through associated components
Health degree judge the health status of the main frame, judged whether according to above-mentioned two information by the virtual machine on the main frame
Migrated, to ensure that the higher application of availability requirement can be operated on the higher main frame of health degree, ensure cloud data system
The safe operation of data in system, improve the overall security of system.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
Obtain it is clear that or being understood by implementing the present invention.The purpose of the present invention and other advantages can be by specification, rights
Specifically noted structure is realized and obtained in claim and accompanying drawing.
Brief description of the drawings
Accompanying drawing is used for providing further understanding technical solution of the present invention, and a part for constitution instruction, with this
The embodiment of application is used to explain technical scheme together, does not form the limitation to technical solution of the present invention.
Fig. 1 is the flow chart of method for managing resource in cloud data system provided by the invention；
Fig. 2 is the structure chart of resource management apparatus in cloud data system provided by the invention.
Embodiment
For the object, technical solutions and advantages of the present invention are more clearly understood, below in conjunction with accompanying drawing to the present invention
Embodiment be described in detail.It should be noted that in the case where not conflicting, in the embodiment and embodiment in the application
Feature can mutually be combined.
Can be in the computer system of such as one group computer executable instructions the flow of accompanying drawing illustrates the step of
Perform.Also, although logical order is shown in flow charts, in some cases, can be with suitable different from herein
Sequence performs shown or described step.
Fig. 1 is the flow chart of method for managing resource in cloud data system provided by the invention.Method includes shown in Fig. 1：
Step 101, the utilization rate information for obtaining the resource chosen in advance on main frame, and the resource is corresponding to main frame
The state of health data of part；
Specifically, the utilization rate information of each resource on main frame can be obtained, it is preferred that can also obtain and be run on the main frame
Each virtual machine resource using status, therefore, can be performed in step 102 and step 103 according to overall, can also
Performed according to virtual machine；And obtained according to the state of health data of the part of entirety for state of health data
's；
Step 102, according to the utilization rate of the resource and the state of health data of part, it is determined whether on the main frame
Resource be managed；
Specifically, analyzed with the overall resource of main frame, if the utilization rate of the overall resource of the main frame exceedes in advance
The utilization rate threshold value of setting, then it represents that the resource on the main frame is High Availabitity resource；Carried out with the resource using status of virtual machine
Statistics, then judge that the utilization rate of the resource of the virtual machine exceedes the utilization rate threshold value pre-set, then it represents that the money of the virtual machine
Source is High Availabitity resource；
Step 103, after it is determined that being managed to the resource on the main frame, on the main frame virtual machine perform move
Move operation.
, can be with if the resource on the main frame is High Availabitity resource specifically, analyzed with the overall resource of main frame
The partial virtual machine chosen on main frame performs migration operation；Certainly, can be according to being provided on virtual machine on partial virtual machine is selected
The utilization rate in source is screened, the virtual machine using the high virtual machine of resource utilization as final choice；
If the resource of the virtual machine is High Availabitity resource, only the virtual machine need to be subjected to migration operation from main frame.
It should be noted that analyzed and dispatched according to virtual machine, can be definitely by High Availabitity on main frame
Virtual machine (vm) migration comes out.
Embodiment provided by the invention, the resource utilization of main frame and the health degree of associated components are obtained, passes through main frame
Resource utilization, whether the virtual machine for determining to run on the main frame is the application for carrying High Availabitity, then passes through associated components
Health degree judge the health status of the main frame, judged whether according to above-mentioned two information by the virtual machine on the main frame
Migrated, to ensure that the higher application of availability requirement can be operated on the higher main frame of health degree, ensure cloud data system
The safe operation of data in system, improve the overall security of system.
Embodiment of the method provided by the invention is described further below：
Present invention design considers that host resource utilization rate and main frame are good in triggering scheduling of resource, scheduling strategy generating process
Kang Du factor, host resource utilization rate and condition of the main frame health degree information collectively as triggering scheduling of resource, generation scheduling
The foundation of strategy.The resource utilization of main frame includes the resource utilization of some critical components and the utilization of resources of whole main frame
Rate.The resource utilization of part show that the resource utilization information of main frame is drawn by the measurement of associated components by collection.It is main
The health status of machine includes the health status of some critical components and the health status of whole main frame.The health and fitness information of part leads to
The comprehensive measurement for crossing part key factor show that the health status information of main frame is drawn by the measurement of associated components.
Host resource utilization rate that COMPREHENSIVE CALCULATING goes out, main frame health degree information are opposed with the trigger condition parameters pre-set
Than the threshold values more than setting triggers scheduling of resource.After scheduling of resource triggering, into scheduling strategy generation module.Scheduling strategy
The groundwork of generation module is the destination host of selection migration, in the selection process, considers the resource profit in Current resource pond
By the use of rate it is relatively low with the higher main frame of health degree as move target main frame, then perform migration operation, complete whole scheduling of resource mistake
Journey.
Wherein, the utilization rate of the resource can choose at least one conduct master in CPU, internal memory, storage and network
The resource of machine is as commentary；Wherein, when there is at least two resources, the weight of each resource can be set to calculate.Certainly, also
The resource utilization data of whole main frame can be measured out according to predefined data model and are preserved.
Specifically, determined for the measurement of resource utilization by the keystone resources utilization rate factor of part, and it is whole
The resource utilization state measurement of main frame is then according to the utilization of resources rate metric of critical component, such as CPU, disk, internal memory, network interface card
Deng resource utilization situation.Determined, for example spent by the critical healthy factor of part for the measurement of part health status
The health for measuring CPU can be from two CPU voltages, cpu temperature key factor measurements.And the health status of whole main frame measures then basis
The health status measurement of critical component, such as the health status of CPU, disk, fan etc..
Wherein, the resource is in the following way in the acquisition of the state of health data of part corresponding to main frame：
Obtain the title of part corresponding to the resource；
According to the title of the part, health parameters information corresponding to the part is determined；
Real time value corresponding to the health parameters information of the part is gathered by sensor；
According to the weight of each health parameters pre-set and the real time value of the health parameters, the portion is calculated
The state of health data of part.
Specifically, main timing by sensor gather host part health status information, as cpu temperature, CPU voltages,
The state of health data such as rotation speed of the fan, disk running speed, according to the computation model drafted, come measure each part (such as each CPU,
Fan, disk) health status, calculate the health data of part and save.Measured according to predefined data model
Go out the health data of whole main frame and preservation.
Wherein, it is described according to the utilization rate of the resource and the state of health data of part, it is determined whether to the main frame
On resource be managed, including：
Judge whether the utilization rate of the resource is more than the utilization rate threshold value pre-set；And judge the part
Whether the numerical value of state of health data is more than the healthy threshold value pre-set；
It is more than the numerical value for being utilized rate threshold value and the state of health data more than described in the utilization rate of the resource
During healthy threshold value, it is determined that the management to resource on the main frame operates.
Operation is judged twice by above-mentioned, and can filtering out the higher application of availability requirement, to operate in health degree relatively low
Main frame, because larger potential safety hazard generally be present in above-mentioned main frame, easily occur main frame delay machine the problem of, therefore, it is necessary to this
Resource on main frame is managed, to reduce the generation of the loss of high-availability system.
Wherein, it is described after it is determined that being managed to the resource on the main frame, the virtual machine on the main frame is performed
Migration operation, including：
According to the real-time resource utilization of the main frame and the state of health data of the part, determine to need on the main frame
Perform the stock number of migration operation；
Selection can provide the stock number from other main frames, and the numerical value of state of health data is strong what is pre-set
Destination host below health threshold value；
Virtual machine on the main frame is performed into migration operation to the destination host.
Specifically, need the stock number for performing migration operation can be by the way that the virtual machine of migration operation need to be performed on the main frame
Configuration parameter determine.Can be with a virtual machine unit, by each virtual machine (vm) migration to destination host.In destination host
During selection, the main frame that utilization rate is low, health degree is high can be selected, and the destination host chosen and part addition mesh will be migrated
Host List, form migration strategy with the combined factors such as other transit times, duration.
Wherein, when multiple virtual machines meet triggering migration operation on same main frame, the excellent of the multiple virtual machine is determined
First level sequence；
According to the priority ranking, migration operation is performed to the virtual machine on the main frame.
Specifically, can be ranked up according to the current resource utilization of the virtual machine, determine that the migration of virtual machine is suitable
Sequence；By being ranked up for above-mentioned multiple virtual machines, it is ensured that the virtual machine can be serviced, and ensure the virtual of High Availabitity
Machine is preferentially managed.
In summary, by the resource utilization of collecting part and the related data of health degree factor, and to host part
And the whole resource utilization of main frame, health status make evaluation and record, as judge whether triggering whether scheduling of resource and
The condition of destination host and part is selected, ensures the stable operation applied after migration.
Fig. 2 is the structure chart of resource management apparatus in cloud data system provided by the invention.Method with reference to shown in Fig. 1,
Fig. 2 shown devices include：
Acquisition module 201, for obtaining the utilization rate information for the resource chosen in advance on main frame, and the resource in master
The state of health data of part corresponding to machine；
Determining module 202, for the utilization rate and the state of health data of part according to the resource, it is determined whether to institute
The resource stated on main frame is managed；
Management module 203, for after it is determined that being managed to the resource on the main frame, to virtual on the main frame
Machine performs migration operation.
In a device embodiment provided by the invention, the acquisition module 201 includes：
Acquiring unit, for obtaining the title of part corresponding to the resource；
First determining unit, for the title according to the part, determine health parameters information corresponding to the part；
Collecting unit, for gathering real time value corresponding to the health parameters information of the part by sensor；
Computing unit, the weight of each health parameters pre-set for basis and the real time value of the health parameters,
The state of health data of the part is calculated.
In a device embodiment provided by the invention, the determining module 202 includes：
Judging unit, for judging whether the utilization rate of the resource is more than the utilization rate threshold value pre-set；And sentence
Whether the numerical value of the state of health data of the disconnected part is more than the healthy threshold value pre-set；
Second determining unit, rate threshold value and the health status number are utilized for being more than in the utilization rate of the resource
According to numerical value be more than the healthy threshold value when, it is determined that on the main frame resource management operate.
In a device embodiment provided by the invention, the management module 203 includes：
3rd determining unit, for the health status number according to the real-time resource utilization of the main frame and the part
According to determining to need on the main frame to perform the stock number of migration operation；
Determining unit, for selecting that the stock number, and the numerical value of state of health data can be provided from other main frames
Destination host below the healthy threshold value pre-set；
Scheduling unit, for the virtual machine on the main frame to be performed into migration operation to the destination host.
In a device embodiment provided by the invention, the management module 203 also includes：
4th determining unit, for when multiple virtual machines meet triggering migration operation on same main frame, determining described more
The priority ranking of individual virtual machine；
Wherein, the scheduling unit performs migration operation according to the priority ranking to the virtual machine on the main frame.
Device embodiment provided by the invention, the resource utilization of main frame and the health degree of associated components are obtained, is passed through
The resource utilization of main frame, whether the virtual machine for determining to run on the main frame is the application for carrying High Availabitity, then passes through correlation
The health degree of part judges the health status of the main frame, is judged whether according to above-mentioned two information by the void on the main frame
Plan machine is migrated, and to ensure that the higher application of availability requirement can be operated on the higher main frame of health degree, ensures cloud number
According to the safe operation of data in system, the overall security of system is improved.
One of ordinary skill in the art will appreciate that all or part of step of above-described embodiment can use computer journey
Sequence flow realizes that the computer program can be stored in a computer-readable recording medium, the computer program exists
(such as system, unit, device) performs on corresponding hardware platform, upon execution, including the step of embodiment of the method it
One or its combination.
Alternatively, all or part of step of above-described embodiment can also realize that these steps can using integrated circuit
To be fabricated to integrated circuit modules one by one respectively, or the multiple modules or step in them are fabricated to single integrated electricity
Road module is realized.So, the present invention is not restricted to any specific hardware and software combination.
Each device/functional module/functional unit in above-described embodiment can be realized using general computing device, it
Can concentrate on single computing device, can also be distributed on the network that multiple computing devices are formed.
Each device/functional module/functional unit in above-described embodiment realized in the form of software function module and as
Independent production marketing in use, can be stored in a computer read/write memory medium.Computer mentioned above
Read/write memory medium can be read-only storage, disk or CD etc..
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all be contained
Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be defined by the protection domain described in claim.
Claims (10)
- A kind of 1. method for managing resource in cloud data system, it is characterised in that including：The utilization rate information for the resource chosen in advance on main frame is obtained, and the resource is in the healthy shape of part corresponding to main frame State data；According to the utilization rate of the resource and the state of health data of part, it is determined whether carry out pipe to the resource on the main frame Reason；After it is determined that being managed to the resource on the main frame, migration operation is performed to the virtual machine on the main frame.
- 2. according to the method for claim 1, it is characterised in that health status number of the resource in part corresponding to main frame According to acquisition be in the following way：Obtain the title of part corresponding to the resource；According to the title of the part, health parameters information corresponding to the part is determined；Real time value corresponding to the health parameters information of the part is gathered by sensor；According to the weight of each health parameters pre-set and the real time value of the health parameters, the part is calculated State of health data.
- 3. according to the method for claim 1, it is characterised in that described according to the utilization rate of the resource and the health of part Status data, it is determined whether the resource on the main frame is managed, including：Judge whether the utilization rate of the resource is more than the utilization rate threshold value pre-set；And judge the health of the part Whether the numerical value of status data is more than the healthy threshold value pre-set；It is more than the health more than the numerical value for being utilized rate threshold value and the state of health data in the utilization rate of the resource During threshold value, it is determined that the management to resource on the main frame operates.
- 4. method according to any one of claims 1 to 3, it is characterised in that described it is determined that to the resource on the main frame After being managed, migration operation is performed to the virtual machine on the main frame, including：According to the real-time resource utilization of the main frame and the state of health data of the part, determine to need to perform on the main frame The stock number of migration operation；Selection can provide the stock number from other main frames, and the numerical value of state of health data is in the healthy threshold pre-set It is worth following destination host；Virtual machine on the main frame is performed into migration operation to the destination host.
- 5. according to the method for claim 4, it is characterised in that methods described also includes：When multiple virtual machines meet triggering migration operation on same main frame, the priority ranking of the multiple virtual machine is determined；According to the priority ranking, migration operation is performed to the virtual machine on the main frame.
- A kind of 6. resource management apparatus in cloud data system, it is characterised in that including：Acquisition module, for obtaining the utilization rate information for the resource chosen in advance on main frame, and the resource corresponds in main frame Part state of health data；Determining module, for the utilization rate and the state of health data of part according to the resource, it is determined whether to the main frame On resource be managed；Management module, for after it is determined that being managed to the resource on the main frame, being performed to the virtual machine on the main frame Migration operation.
- 7. device according to claim 6, it is characterised in that the acquisition module includes：Acquiring unit, for obtaining the title of part corresponding to the resource；First determining unit, for the title according to the part, determine health parameters information corresponding to the part；Collecting unit, for gathering real time value corresponding to the health parameters information of the part by sensor；Computing unit, for according to the weight of each health parameters and the real time value of the health parameters pre-set, calculating Obtain the state of health data of the part.
- 8. device according to claim 6, it is characterised in that the determining module includes：Judging unit, for judging whether the utilization rate of the resource is more than the utilization rate threshold value pre-set；And judge institute Whether the numerical value for stating the state of health data of part is more than the healthy threshold value pre-set；Second determining unit, rate threshold value and the state of health data are utilized for being more than in the utilization rate of the resource When numerical value is more than the healthy threshold value, it is determined that the management to resource on the main frame operates.
- 9. according to any described device of claim 6 to 8, it is characterised in that the management module includes：3rd determining unit, for the state of health data according to the real-time resource utilization of the main frame and the part, really Need to perform the stock number of migration operation on the fixed main frame；Determining unit, for selecting that the stock number can be provided from other main frames, and the numerical value of state of health data is pre- The destination host below healthy threshold value first set；Scheduling unit, for the virtual machine on the main frame to be performed into migration operation to the destination host.
- 10. device according to claim 9, it is characterised in that the management module also includes：4th determining unit, for when multiple virtual machines meet triggering migration operation on same main frame, determining the multiple void The priority ranking of plan machine；Wherein, the scheduling unit performs migration operation according to the priority ranking to the virtual machine on the main frame.
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| CN109213451A (en) * | 2018-09-11 | 2019-01-15 | 郑州云海信息技术有限公司 | The management method and device of storage resource in cloud data system |
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Application publication date: 20180330 |