CN106453146B - Method, system, device and readable storage medium for allocating private cloud computing resources - Google Patents

Method, system, device and readable storage medium for allocating private cloud computing resources Download PDF

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CN106453146B
CN106453146B CN201611019698.7A CN201611019698A CN106453146B CN 106453146 B CN106453146 B CN 106453146B CN 201611019698 A CN201611019698 A CN 201611019698A CN 106453146 B CN106453146 B CN 106453146B
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computing resource
cloud
computing
computing resources
resource group
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CN106453146A (en
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李明军
马元良
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BEIJING TEAMSUN TECHNOLOGY Co.,Ltd.
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Beijing Teamsun Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00—Traffic control in data switching networks
    • H04L47/70—Admission control; Resource allocation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
    • H04M15/31—Distributed metering or calculation of charges
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/02—Details
    • H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/02—Details
    • H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
    • H04L12/1403—Architecture for metering, charging or billing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/24—Accounting or billing

Abstract

The invention provides a method, a system, equipment and a readable storage medium for allocating private cloud computing resources. The method comprises the following steps: acquiring demand information input by a cloud tenant for computing resources of a private cloud, wherein the demand information comprises the computing resource information and effective time information; generating a quota strategy of the cloud tenant according to the computing resource information and the valid time information, wherein the quota strategy comprises the required quantity and the valid period of the computing resources of the cloud tenant; searching a computing resource group pool according to the computing resource information, and searching a computing resource group with configuration characteristics matched with the computing resource information, wherein each computing resource in each computing resource group has the same or similar configuration characteristics; and randomly selecting the computing resources meeting the quantity required by the cloud tenants from the searched computing resource groups within the valid period, and allocating the computing resources to the cloud tenants. The method can provide a flexible, practical and reliable private cloud computing resource allocation scheme for cloud tenants.

Description

Method, system, device and readable storage medium for allocating private cloud computing resources
Technical Field
The present invention relates to the field of cloud computing, and in particular, to a method, a system, a device, and a readable storage medium for allocating private cloud computing resources.
Background
For the current IT (Information Technology, Information Technology industry) era, cloud computing represents the core competitiveness of the Information Technology field in the future, and the cloud computing attracts more and more enterprises with the advantages of convenience, economy, high expansibility and the like, frees the enterprises from the heavy pressure of IT infrastructure management and maintenance, and focuses more on the core business development of the cloud computing. There are many deployment forms of clouds, for example: public clouds, private clouds, hybrid clouds, and the like. A public cloud is a computing resource provided by a public cloud service provider, which is available to all network users, and refers to a cloud environment shared by several enterprises and users. But for security reasons, a powerful large enterprise is biased towards building ITs own private cloud, which may be built by ITs own IT organization or cloud provider, where the resources are only available to users inside the enterprise (each department and each sub-company) or to specific external users associated with the enterprise.
When the traditional private cloud is used by an internal user of an enterprise or a specific external user related to the enterprise, computing resources meeting the user requirements are generally allocated in the private cloud according to the user requirements, but in the allocation process, the computing resources are required to be matched one by one according to the user requirements, so that corresponding computing resources are matched, and when the user uses the computing resources allocated to the user, if the computing resources are invalid, the matching needs to be carried out again. The matching process is complicated and inflexible, and cannot provide cloud service for users well.
Disclosure of Invention
Based on this, it is necessary to provide a flexible, convenient and reliable private cloud computing resource allocation method, system, device and readable storage medium for solving the problem that the allocation process is complicated and inflexible when allocating computing resources in the conventional private cloud.
In order to achieve the purpose of the invention, a method for allocating private cloud computing resources is provided, and the method comprises the following steps:
acquiring demand information input by a cloud tenant for computing resources of a private cloud, wherein the demand information comprises computing resource information and valid time information;
generating a quota policy of the cloud tenant according to the computing resource information and the valid time information, wherein the quota policy comprises the required quantity and the valid period of the computing resources of the cloud tenant;
searching a computing resource group pool according to the computing resource information, and searching a computing resource group with configuration characteristics matched with the computing resource information, wherein each computing resource in each computing resource group has the same or similar configuration characteristics;
and randomly selecting the computing resources meeting the required quantity from the searched computing resource groups within the valid period to be distributed to the cloud tenants.
In one embodiment, before the step of arbitrarily selecting, from the searched computing resource groups, a computing resource meeting the amount required by the cloud tenant within the validity period to allocate to the cloud tenant, the allocation method further includes:
obtaining the charging rules of the found computing resource groups, wherein the charging rules of each computing resource group are also defined in the computing resource group pool;
charging the computing resources of the private cloud applied by the cloud tenant according to the quota policy and the charging rule to obtain quotation information;
determining whether to allocate the computing resources applied by the cloud tenant for the cloud tenant according to the quota policy and/or the quotation information.
In one embodiment, the step of determining whether to allocate the computing resources applied by the cloud tenant for the cloud tenant according to the quota policy and/or the quotation information includes:
judging whether the quota strategy is in a preset quota strategy and/or the quotation information is in budget quotation;
if so, judging that the cloud tenant application is successful, and executing the step of distributing the computing resources meeting the quota strategy for the cloud tenant from the searched computing resource group;
if not, judging that the cloud tenant application fails.
In one embodiment, the computing resources in the computing resource group pool are grouped into computing resource groups with the same or similar configuration characteristics according to one or a combination of rules that the system configuration of the computing resources is similar or the same, the architecture of the computing resources is similar or the same, and the price levels of the computing resources are consistent.
In one embodiment, the steps of searching a computing resource group pool according to the computing resource information, searching a computing resource group matched with the computing resource information, and randomly selecting a computing resource meeting the required quantity of the cloud tenant from the searched computing resource groups within the validity period to be allocated to the cloud tenant comprise:
determining a configuration characteristic of the required computing resource according to the computing resource information;
if the required quantity of the cloud tenant for the computing resources is single, searching a computing resource group matched with the configuration characteristics of the computing resources required by the cloud tenant from the computing resource group pool, and randomly selecting one computing resource from the searched computing resource group within the validity period to be allocated to the cloud tenant;
if the required quantity of the cloud tenant on the computing resources is multiple, judging whether the configuration characteristics of the multiple computing resources required by the cloud tenant are the same; if the cloud tenant demand is the same as the cloud tenant demand, finding out a computing resource group matched with the configuration characteristics of a plurality of computing resources required by the cloud tenant from the computing resource group pool, and randomly selecting the computing resources required by the cloud tenant in quantity from the found computing resource group within the validity period to be distributed to the cloud tenant; and if the computing resource groups are different, respectively finding out the computing resource groups matched with different configuration characteristics from the computing resource group pool, and randomly selecting the computing resources with the quantity required by the cloud tenant in the corresponding computing resource groups from the found computing resource groups within the validity period to distribute to the cloud tenant.
In one embodiment, after allocating the computing resources for the cloud tenant, the allocation method further includes:
the utilization rate of computing resources applied by the cloud tenants is monitored in real time, and when the utilization rate is smaller than a preset utilization rate, idle computing resources in the computing resources applied by the cloud tenants are released.
The invention also provides a private cloud computing resource allocation system, which comprises:
the system comprises a demand information acquisition module, a processing module and a processing module, wherein the demand information acquisition module is used for acquiring demand information of computing resources of a private cloud, which is input by a cloud tenant, and the demand information comprises computing resource information and effective time information;
a quota policy generation module, configured to generate a quota policy of the cloud tenant according to the computing resource information and the valid time information, where the quota policy includes a required amount of computing resources and a valid period of the cloud tenant;
the searching module is used for searching a computing resource group pool according to the computing resource information and searching a computing resource group matched with the computing resource information, and each computing resource in each computing resource group has the same or similar configuration characteristics;
and the distribution module is used for randomly selecting the computing resources meeting the required quantity from the searched computing resource groups within the validity period and distributing the computing resources to the cloud tenants.
In one embodiment, the dispensing system further comprises:
a charging rule obtaining module, configured to obtain a charging rule of the found computing resource group before allocating, to the cloud tenant, a computing resource that meets the quota policy from the found computing resource group, where a charging rule of each computing resource group is also defined in the computing resource group pool;
the quotation information obtaining module is used for charging the computing resources of the private cloud applied by the cloud tenant according to the quota policy and the charging rule to obtain quotation information;
and the allocation determining module is used for determining whether the computing resources applied by the cloud tenant are allocated to the cloud tenant according to the quota policy and/or the quotation information.
In one embodiment, the allocation determination module comprises:
the judging unit is used for judging whether the quota strategy is in a preset quota strategy and/or the quotation information is in budget quotation; if so, judging that the cloud tenant application is successful, and entering the distribution module; if not, judging that the cloud tenant application fails.
In one embodiment, the computing resources in the computing resource group pool are grouped into computing resource groups with the same or similar configuration characteristics according to one or a combination of rules that the system configuration of the computing resources is similar or the same, the architecture of the computing resources is similar or the same, and the price levels of the computing resources are consistent.
In one embodiment, the lookup module comprises:
the determining unit is used for determining the configuration characteristics of the computing resources required by the cloud tenants according to the computing resource information;
the first searching unit is used for searching a computing resource group matched with the configuration characteristics of the computing resources required by the cloud tenant from the computing resource group pool if the required quantity of the cloud tenant for the computing resources is single;
the judging unit is used for judging whether the configuration characteristics of a plurality of computing resources required by the cloud tenant are the same or not if the required quantity of the cloud tenant to the computing resources is multiple;
the second searching unit is used for searching a computing resource group matched with the configuration characteristics of the plurality of computing resources required by the cloud tenant from the computing resource group pool if the configuration characteristics of the plurality of computing resources required by the cloud tenant are the same;
a third searching unit, configured to search, if configuration characteristics of multiple computing resources required by the cloud tenant are different, computing resource groups respectively meeting the different computing resource configuration characteristics from the computing resource group pool;
the distribution module includes:
the first allocation unit is used for randomly selecting one computing resource from the found computing resource groups within the validity period to allocate to the cloud tenant after the first search unit searches the computing resource groups matched with the configuration characteristics of the computing resources required by the cloud tenant from the computing resource group pool;
the second allocation unit is used for randomly selecting the computing resources with the quantity required by the cloud tenant from the searched computing resource groups within the validity period and allocating the computing resources to the cloud tenant after the second search unit searches the computing resource groups matched with the configuration characteristics of the plurality of computing resources required by the cloud tenant from the computing resource group pool;
and the third allocation unit is used for randomly selecting the computing resources of the required number of the cloud tenants in the corresponding computing resource group from the searched computing resource groups within the validity period to allocate to the cloud tenants after the third searching unit searches the computing resource groups respectively meeting different computing resource configuration characteristics from the computing resource group pool.
In one embodiment, the dispensing system further comprises:
the monitoring module is used for monitoring the utilization rate of the computing resources applied by the cloud tenants in real time after the computing resources are distributed to the cloud tenants, and releasing the idle computing resources in the computing resources applied by the cloud tenants when the utilization rate is smaller than a preset utilization rate.
The beneficial effects of the invention include:
according to the method, the system, the equipment and the readable storage medium for allocating the private cloud computing resources, the computing resource group meeting the requirements of the cloud tenants is searched in the computing resource group pool, and because the computing resources in the computing resource group are grouped according to the preset grouping rule, and the computing resources in each computing resource group are configured to be similar or identical, after the computing resource group matched with the computing resource information is searched, a corresponding number of computing resources can be selected from the computing resource group to meet the quota strategy applied by the cloud tenants, the method is more flexible and practical compared with the traditional one-to-one matching mode of the single computing resource, and even if the currently used computing resource of the cloud tenants fails, other computing resources can be selected from the computing resource group at any time to meet the requirements of the cloud tenants, so for the cloud tenants, and the method is reliable, and can provide good cloud computing service for cloud tenants.
Drawings
FIG. 1 is a flow diagram that illustrates a method for allocating private cloud computing resources, in one embodiment;
fig. 2 is a schematic diagram illustrating a correspondence between cloud tenants, quota policies, and a computing resource group in one embodiment;
fig. 3 is a schematic flow chart of a method for allocating private cloud computing resources in another embodiment;
fig. 4 is a schematic structural diagram of a private cloud computing resource allocation system in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clearly understood, the method, system, device and readable storage medium for allocating private cloud computing resources according to the present invention are further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In one embodiment, as shown in fig. 1, there is provided a method for allocating private cloud computing resources, the method comprising the steps of:
s100, acquiring demand information input by a cloud tenant and used for computing resources of a private cloud. Wherein the demand information includes computing resource information and validity time information.
In particular, computing resources refer to servers with computing service capabilities, including physical computing resources and virtual computing resources, such as: physical servers and virtual servers. The computing resource information reflects configuration characteristic parameters of the cloud tenants for computing resource requirements, and comprises physical computing resource information and virtual computing resource information. The physical computing resource information includes information such as a physical server type, a Central Processing Unit (CPU) number, a memory size, a storage capacity, a network requirement, a number of physical servers, and configuration characteristics; the virtual computing resource information includes information such as the type of the virtual server, the number and model of CPUs, the size of a memory, the storage capacity, network requirements, configuration characteristics and the like. The valid time information comprises a use starting date and an end date of the computing resource applied by the cloud tenant.
S200, generating a quota strategy of the cloud tenant according to the computing resource information and the valid time information, wherein the quota strategy comprises the required quantity and the valid period of the computing resources of the cloud tenant. The required number includes the number of physical servers, the number of CPUs of the virtual server, the number of memories using the size of a unit memory (e.g., 1T) as a counting unit, and the number of storage capacities using the size of a unit storage capacity (e.g., 1T) as a counting unit.
For example: the method comprises the steps that computing resource information submitted by cloud tenants is 5 physical servers, effective time information of the physical servers is half a year, the number of CPUs (central processing units) of virtual servers is 5, the size of a memory of the virtual servers is 1T (the number of the required memories is 1), the storage capacity of the required virtual servers is 1T (the number of the required storage capacities is 1), and the effective time information of the virtual servers with the characteristics is 1 year, so that generated quota policies are 5 physical servers/half a year, 5 CPUs/1T memories/1T storage capacities/1 year; correspondingly, according to the requirement of the cloud tenant, only a quota policy for the physical server or only a quota policy for the virtual server may be generated.
S300, searching a computing resource group pool according to the computing resource information, and searching a computing resource group matched with the computing resource information. The individual computing resources in each computing resource group have the same or similar configuration characteristics.
The computing resource group pool stores various computing resources which can be provided, and the computing resources are grouped according to preset rules, specifically, the computing resources in the computing resource group pool are grouped into computing resource groups with the same or similar configuration characteristics according to one or a combination of rules of similar or identical system configuration, similar or identical computing resource architecture, and consistent computing resource price levels of the computing resources. Each computing resource group at least comprises 1 computing resource, and the configuration characteristics of the computing resources in each computing resource group are the same or similar. The virtual servers have the same or similar configuration characteristics, and the virtual servers have the same or similar configuration characteristics, so that the processing capacity of each CPU provided by the virtual servers is the same or the storage capacity and other performances of each storage unit provided by the virtual servers are the same; for example: grouping various computing resources according to the similarity or the same system configuration, that is, the configuration characteristics of each computing resource in the same computing resource group are similar or the same, and setting the configuration characteristics of the computing resource group to be the same as the configuration characteristics of each computing resource in the group, so that after the computing resource information of the cloud tenant is obtained, only the computing resource group which conforms to the computing resource information input by the cloud tenant needs to be searched, for example: and matching a computing resource group which is consistent with the configuration characteristic from the computing resource group pool according to the computing resource configuration characteristic input by the cloud tenant, and randomly selecting computing resources from the computing resource group to distribute to the cloud tenant so as to meet the requirement of the cloud tenant.
Specifically, in one embodiment, step S300 includes:
s310, determining the required quantity of the computing resources of the cloud tenants and the configuration characteristics of the required computing resources according to the computing resource information.
And S320, if the required quantity of the cloud tenants to the computing resources is single, searching the computing resource groups matched with the configuration characteristics of the computing resources required by the cloud tenants from the computing resource group pool.
S330, if the number of the computing resources required by the cloud tenant is multiple, judging whether the configuration characteristics of the multiple computing resources required by the cloud tenant are the same.
And S340, if the configuration characteristics of the plurality of computing resources required by the cloud tenant are the same, finding out a computing resource group matched with the configuration characteristics of the plurality of computing resources required by the cloud tenant from the computing resource group pool.
And S350, if the configuration characteristics of the plurality of computing resources required by the cloud tenant are different, respectively finding out computing resource groups matched with the different configuration characteristics from the computing resource group pool.
And S400, randomly selecting the computing resources meeting the quantity required by the cloud tenants from the searched computing resource groups within the valid period, and distributing the computing resources to the cloud tenants.
In one embodiment, after step S400, the method for allocating private cloud computing resources further includes:
if the computing resource is allocated to only one cloud tenant, the computing resource allocated to the cloud tenant is identified as a busy computing resource. While the cloud tenant is using the busy computing resource, the busy computing resource is not visible to other cloud tenants.
If the computing resource is allocated to a plurality of cloud tenants, when one cloud tenant uses the computing resource, the computing resource is marked as occupying the computing resource, and other cloud tenants allocated with the computing resource can see but cannot use the occupied computing resource, and only after the cloud tenant using the occupied computing resource releases the occupied computing resource, one of the other cloud tenants allocated with the computing resource can use the cloud tenant. Other cloud tenants allocated the computing resources can use the computing resources in sequence according to a preset priority order. Wherein, in the process, other cloud tenants that are not allocated the computing resource are invisible to the computing resource.
Specifically, step S400 includes the following steps corresponding to step S300:
and S410, after the step S320, randomly selecting one computing resource from the searched computing resource group within the validity period to be allocated to the cloud tenant.
And S420, after the step S340, randomly selecting the computing resources with the required quantity of the cloud tenants from the searched computing resource groups within the valid period, and allocating the computing resources to the cloud tenants.
And S430, after the step S350, randomly selecting the computing resources with the quantity required by the cloud tenant in the corresponding computing resource group from the searched computing resource groups within the validity period, and allocating the computing resources to the cloud tenant.
In this step, because the computing resource information input by the cloud tenant includes quantity information of the computing resource requirements, and when the quantity of the requirements is multiple, the configuration characteristics of multiple computing resources may be the same or different, when searching for a computing resource group in a computing resource group pool, if the quantity of the computing resource requirements of the cloud tenant is the same as the configuration characteristics of one or more computing resources required by the cloud tenant, only the computing resource group meeting the configuration characteristics needs to be searched from the computing resource group pool, and one or more computing resources are arbitrarily selected from the computing resource group and allocated to the cloud tenant to meet the requirements of the cloud tenant; if the quantity of the computing resource demands of the cloud tenants is multiple and the configuration characteristics of the multiple computing resources are different, multiple computing resource groups meeting the configuration characteristics are found from the computing resource group pool, and the computing resources with corresponding quantity are randomly selected from the found computing resource groups and are distributed to the cloud tenants. The method for allocating the computing resources to the cloud tenants is flexible and convenient, and even if the computing resources allocated to the cloud tenants at present fail, one computing resource allocated to the computing resources can be selected from the computing resources, so that the process of de-matching the computing resources used at present when the computing resources used at present fail is not needed, the matching failure condition cannot occur, the allocation method is simple, convenient and reliable for the cloud tenants, and the experience of the cloud computing service provided by the private cloud is improved.
In order to explain the above step S400 more clearly, the following description is made in conjunction with specific examples:
for example: referring to fig. 2, if the generated quota policy is 2 physical servers/1 year, and the configuration characteristic requirements of the cloud tenants on the 2 physical servers are the same, the computing resource group that conforms to the computing resource information applied by the cloud tenants is found to be a first physical computing resource group, and the configuration characteristics of any one physical computing resource in the first physical computing resource group in terms of the number of CPUs, the memory size, the storage capacity, the network requirements, and the like, conform to the computing resource information applied by the cloud tenants, at this time, only 2 physical computing resources are arbitrarily selected from the first physical computing resource group to be allocated to the cloud tenants for 1 year, and even if the physical server currently allocated to the cloud tenants within the valid time fails (for example, the life cycle of the physical computing resource currently allocated to the cloud tenants ends or fails), another computing resource can be arbitrarily selected from the first computing resource group to be allocated to the cloud tenants for continuous use, the computing resources matched with the demand information of the cloud tenants do not need to be searched again, the distribution process of the computing resources is convenient, flexible and practical, and good cloud service can be provided for users.
For another example: the generated quota policy is 5 physical servers/1 year, the first physical server and the second physical server in 5 physical servers of the cloud tenant have the same configuration characteristic requirement, the third physical server, the fourth physical server and the fifth physical server have the same configuration characteristic requirement, searching the computing resource group pool, wherein the computing resource group pool which accords with the configuration characteristics of the first physical server and the second physical server is the first computing resource group, the computing resource group pool which accords with the configuration characteristics of the third physical server, the fourth physical server and the fifth physical server is the second computing resource group, 2 physical servers are arbitrarily selected from a first computing resource group to be allocated to the cloud tenants, correspondingly, 3 physical servers are arbitrarily selected from a second computing resource group to be allocated to the cloud tenants, compared with the traditional one-to-one matching mode, the distribution mode is obviously more flexible and simpler, the more computing resources required by cloud tenants, and the more obvious effect of the distribution mode is. And if the computing resources currently allocated to the cloud tenants are invalid, other computing resources with the same or similar configuration characteristics as the invalid computing resources are directly selected from the corresponding computing resource groups to be allocated to the cloud tenants, so that the experience of the cloud tenants in using the computing resources is not influenced, and the computing service capacity of the private cloud is improved.
The life cycle of the computing resource refers to the beginning of the life cycle of the computing resource when the enterprise purchases the computing resource, the purchased computing resource is stored in the computing resource pool and serves as the IT asset of the enterprise to provide computing service for the cloud tenant, and the life cycle of the computing resource is ended after the purchase period of the computing resource expires or the computing resource is scrapped. In addition, the life cycle of the computing resource can also refer to the beginning of the life cycle after the building of the computing resource is completed, and the end of the life cycle after the computing resource cannot provide computing service for the cloud tenant. The cloud tenant herein refers to an administrator of each department or each subsidiary within the enterprise or a specific external department related to the enterprise, each department or subsidiary has a corresponding cloud tenant, which is equivalent to that each department or subsidiary has a right to use certain computing resources, and users using these computing resources can be set according to specific situations.
It should be noted that: after the computing resources are allocated to the cloud tenants, the cloud tenants can only access the computing resources in the quota policy, and the computing resources in the non-quota are invisible to the cloud tenants.
In one embodiment, after the cloud tenant is allocated with the computing resources meeting the requirements from the found computing resource groups, a user group is created in the cloud tenant according to the authority of the cloud tenant, and the user group at least comprises one user. The computing resources allocated to the cloud tenants can be used by a plurality of users, and because the demands of the users in the same department or the same sub-company on the computing resources are approximately the same, the allocation method does not need to allocate the same computing resources to the plurality of users one by one, and the allocation efficiency of the private cloud can be improved. It should be noted that, when the cloud tenant does not have the quota policy, all the computing resources in the computing resource group pool are invisible to the cloud tenant, that is, the cloud tenant cannot use any computing resource in the computing resource group pool. When a certain computing resource group in the computing resource group pool has no quota policy of a corresponding cloud tenant, the computing resources in the computing resource group are invisible to all the cloud tenants, that is, any cloud tenant cannot use the computing resources in the computing resource group.
Preferably, in one embodiment, the set of computing resources stored in the computing resource group pool includes physical computing resources and virtual computing resources, and step S300 includes: extracting physical computing resource information and virtual computing resource information from the computing resource information, respectively searching a computing resource group pool according to the physical computing resource information and the virtual computing resource information, and searching a physical computing resource group matched with the physical computing resource information and a virtual computing resource group matched with the virtual computing resource information.
Physical computing resource groups and virtual computing resource groups meeting the requirements of the cloud tenants are found from the computing resource group pool, so that the requirements of the cloud tenants on the computing resources can be met from multiple aspects, and the capability of providing cloud computing services by the private cloud is improved.
For example: the quota policy generated in step S200: when a computing resource group is searched in a computing resource group pool, physical computing resource information and virtual computing resource information are extracted from computing resource information applied by cloud tenants, for example: the obtained physical computing resource information is 1CPU/1G memory/1T storage capacity, a computing resource group pool is searched according to the physical computing resource information, a physical computing resource group matched with the computing resource pool is searched and obtained and is a physical computing resource group I, and 5 physical servers are randomly allocated to cloud tenants from the physical computing resource group I for half a year; for example: the obtained virtual computing resource information is 5CPU/1T memory/1T storage capacity, a computing resource group pool is searched according to the virtual computing resource information, a matched virtual computing resource group is searched and obtained to be a first virtual computing resource group, and a quota strategy of 5CPU/1T memory/1T storage capacity is allocated to cloud tenants from the first virtual computing resource group for one year. Therefore, the demands of cloud tenants on the physical server and the demands of the virtual server can be met simultaneously.
It should be noted that, when the physical computing resources in the physical computing resource group found according to the physical computing resource information cannot satisfy the quota policy of the cloud tenant, for example: in the above embodiment, the cloud tenant needs to allocate 5 physical servers at will in the first physical computing resource group to satisfy the quota policy of the cloud tenant, but if there are not enough physical servers in the first physical computing resource group in an idle state, the cloud tenant may further search from a higher-configuration computing resource group pool, or may also call physical computing resources in a higher-configuration physical computing resource group, and then, or randomly adjust physical computing resources already allocated to other cloud tenants in the physical computing resource group, and share the physical computing resources in a time polling manner, so as to satisfy the quota policy of the cloud tenant.
When searching for a virtual computing resource group according to virtual computing resource information, if a plurality of virtual computing resource groups meeting the virtual computing resource information exist in a computing resource group pool, selecting a virtual computing resource group with the most idle computing resources, if only one virtual computing resource group meets the virtual computing resource information, selecting the virtual computing resource group, and if the virtual computing resources in the virtual computing resource group cannot meet the virtual computing resource information, calling other virtual computing resources allocated to other cloud tenants in a time period polling mode to meet quota strategies of the cloud tenants.
Certainly, in some special enterprises, if an enterprise only needs to utilize physical computing resources, only the physical computing resources can be stored in the computing resource group pool, and at the moment, the physical computing resource group matched with the physical computing resources only needs to be found out according to the physical computing resource information applied by the cloud tenant; of course, in another special place, only the virtual computing resources may be stored in the computing resource pool, and at this time, only the virtual computing resources matched with the virtual computing resources need to be found out according to the virtual computing resources applied by the cloud tenant. Preferably, the computing resource group pool stores physical computing resource groups and virtual computing resource groups, when only the physical computing resource information is in the computing resource information applied by the cloud tenant, the physical computing resource groups meeting the requirements are searched in the computing resource group pool, and when only the virtual computing resource information is in the computing resource information applied by the cloud tenant, the virtual computing resource groups meeting the requirements are searched in the computing resource group pool.
In one embodiment, after allocating the computing resources for the cloud tenant, the method for allocating the private cloud computing resources further includes:
judging whether the use time of the computing resources applied by the cloud tenants reaches the valid period; and if so, releasing the computing resources applied by the cloud tenants. If not, the computing resources are continuously distributed to the cloud tenants.
As the cloud tenant has the usage time information (namely, the valid period) of the applied computing resource when submitting the application demand information, it is necessary to monitor whether the usage time of the cloud tenant for the applied computing resource is due, and if not, the cloud tenant continues to be allocated with the computing resource until the valid period of the application is due; if the cloud tenant is due, the computing resources applied by the cloud tenant are timely recovered, the recovered computing resources are used as free computing resources for other cloud tenants to use, or the computing resources are stopped from being purchased, so that the computing resources are fully utilized, and the resource cost is saved.
In one embodiment, after allocating the computing resources for the cloud tenant, the method for allocating the private cloud computing resources further includes:
s500, monitoring the utilization rate of the computing resources applied by the cloud tenants in real time, and releasing idle computing resources in the computing resources applied by the cloud tenants when the utilization rate is smaller than a preset utilization rate.
After the cloud tenants apply for the computing resources, due to the difference of businesses or use time of each department or sub-company, the utilization rate of the applied computing resources is not high within a certain period of time, in order to improve the utilization rate of the resources, unused computing resources of the computing resources applied by the cloud tenants are released as free computing resources, and at the moment, other cloud tenants can use the released free computing resources.
In one embodiment, after allocating the computing resources for the cloud tenant, the method for allocating the private cloud computing resources further includes:
and monitoring the utilization rate of each computing resource in the computing resource group in real time to form a historical report of the utilization rate of each computing resource group. The background server can know which computing resources are frequently used and which computing resources are less used according to the historical report, so that certain regulation and control are performed among the computing resources, and the utilization rate of the computing resources is improved on the premise of ensuring that the requirements of cloud tenants are met. Certainly, which computing resources are unnecessary computing resources of the cloud tenant can be known according to the historical report, so that the unnecessary computing resources applied by the cloud tenant are released.
In one embodiment, referring to fig. 3, before step S400, the method for allocating private cloud computing resources further includes:
s300a, obtaining the found charging rule of the computing resource group, wherein the charging rule of each computing resource group is also defined in the computing resource group pool.
And S300b, charging the computing resources of the private cloud applied by the cloud tenant according to the quota policy and the charging rule to obtain quotation information.
And S300c, determining whether to distribute the computing resources applied by the cloud tenant for the cloud tenant according to the quota policy and/or the quotation information.
When computing resources are allocated to internal users of an enterprise or specific external users related to the enterprise, the traditional private cloud is often supplied without compensation, however, the way of supplying without compensation often causes resource waste, and in order to solve the problem that resource waste is easily caused by supplying computing resources without compensation, computing resources applied by each department or subsidiary company are charged, so that the problems are solved.
Specifically, after a computing resource group which is matched with computing resource information and applied by a cloud tenant is found, the charging rules of the computing resource group are obtained, wherein the charging rules include but are not limited to charging standards of unit computing resources in the computing resource group in unit time, charging standards of different quantities of computing resources in unit time, charging standards of unit computing resources in different time periods, and charging standards of different quantities of computing resources in different time periods. The quota strategy comprises the quantity information and the use time information of the computing resources, so that the quotation information of the applied computing resources can be obtained. In one embodiment, after the quotation information is obtained, the quotation information is pushed to the cloud tenant, the cloud tenant can determine whether to apply for the computing resources according to the quotation information, and due to quotation limitation, the cloud tenant does not apply for the computing resources randomly on the premise of considering quotation factors, so that the waste of the computing resources is reduced.
Of course, the quotation information and the quota policy may not be pushed to the cloud tenant, and the background server may automatically determine whether to allocate the applied computing resource to the cloud tenant according to the quotation information and the quota policy.
Wherein, each computing resource group in the computing resource group pool is divided into a plurality of levels according to the configuration specification, for example: the method is divided into three levels of high, middle and low, the higher the configuration specification is, the higher the level is, and the higher the corresponding charging fee is.
Specifically, the maximum preset quota policy that can be applied by the cloud tenant is pre-stored in the background server and/or the maximum budget quotation is set for the cloud tenant, and step S300c specifically includes: s310c, determining whether the quota policy is within the preset quota policy and/or the quotation information is within the budget quotation, if so, the cloud tenant is approved and can apply for the computing resource that the cloud tenant applies, and if not, the cloud tenant is not approved and cannot apply for the computing resource that the cloud tenant applies for, and the cloud tenant needs to determine the demand information again. Therefore, cloud tenants can be well limited not to exceed budgets, the use of computing resources is planned to a certain extent, and the cost of the whole enterprise is saved.
In one embodiment, after determining that the cloud tenant application is successful, that is, after the approval is passed, the method for allocating the private cloud computing resources further includes: and settling the cost of the applied computing resources from the budget quotation of the cloud tenant according to the quotation information.
Certain cost is charged for cloud tenants, and the cloud tenants certainly save resources and improve the utilization rate of the resources under the condition of considering cost factors. The settlement method includes, but is not limited to, cash settlement, internal transfer, and the like.
Preferably, in one embodiment, after determining that the cloud tenant application is successful, the quotation information is pushed to the cloud tenant, and after receiving confirmation information of the cloud tenant, the applied computing resource cost is calculated from the budget quotation.
In order to improve user experience when the cloud tenants apply for computing resources, the quotation information is pushed to the cloud tenants, and the cloud tenants determine whether to change the applied computing resources according to the quotation information, so that the trouble of operation caused by the fact that the cloud tenants change the demand information of the computing resources after the computing resources are distributed to the cloud tenants is avoided. Meanwhile, unused funds in the budget quotation can be distributed to cloud tenants, so that the cloud tenants can save resources to the maximum extent.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
In one embodiment, as shown in fig. 4, the present invention further provides a system for allocating private cloud computing resources, including: the demand information acquiring module 100 is configured to acquire demand information, which is input by a cloud tenant and is used for calculating resources of a private cloud, where the demand information includes calculation resource information and valid time information. And a quota policy generation module 200, configured to generate a quota policy of the cloud tenant according to the computing resource information and the valid time information, where the quota policy includes a required amount of the computing resource and a valid period of the cloud tenant. The searching module 300 is configured to search the computing resource group pool according to the computing resource information, and search a computing resource group matched with the computing resource information, where each computing resource in each computing resource group has the same or similar configuration characteristics. And the allocating module 400 is used for randomly selecting the computing resources meeting the quantity required by the cloud tenant from the searched computing resource groups within the validity period and allocating the computing resources to the cloud tenant.
In the embodiment, the demand information of the cloud tenants for the computing resources is acquired, the quota policy is generated according to the demand information, the computing resource groups meeting the computing resource performance applied by the cloud tenants are searched in the computing resource group pool, the computing resources meeting the quota policy are distributed to the cloud tenants from the searched computing resource groups, and as each computing resource group in the computing resource group pool is divided according to the preset grouping rule, namely each computing resource in each computing resource group is similar or identical in configuration characteristics (the same or similar capability of providing computing services), after the computing resource group matched with the computing resource information is searched, a corresponding number of computing resources can be randomly selected from the computing resource group to meet the quota policy applied by the cloud tenants, and the method is more flexible and practical compared with the traditional one-to-one matching mode of the computing resources, and even if the currently used computing resources of the cloud tenants fail, other computing resources can be selected from the computing resource group at any time to meet the requirements of the cloud tenants, so that the cloud tenants are relatively reliable, and good cloud computing services can be provided for the cloud tenants.
In one embodiment, the system further comprises: a charging rule obtaining module 300a, configured to obtain a charging rule of the found computing resource group before allocating, to the cloud tenant, a computing resource that meets the quota policy from the found computing resource group, where a charging rule of each computing resource group is also defined in the computing resource group pool; the quotation information obtaining module 300b is used for charging the computing resources of the private cloud applied by the cloud tenant according to the quota policy and the charging rule to obtain quotation information; and the allocation determining module 300c is configured to determine whether to allocate the computing resources applied by the cloud tenant for the cloud tenant according to the quota policy and/or the quotation information.
In one embodiment, the assignment determination module 300c includes: a determining unit 310c, configured to determine whether the quota policy is within a preset quota policy and/or the quotation information is within a budget quotation; if yes, judging that the cloud tenant application is successful, and entering the distribution module 400; if not, determining that the cloud tenant application fails.
In one embodiment, the computing resources in the computing resource group pool are grouped into computing resource groups with the same or similar configuration characteristics according to one or a combination of rules that the system configuration of the computing resources is similar or identical, the computing resource architectures are similar or identical, and the price levels of the computing resources are consistent.
In one embodiment, the lookup module 300 includes: a determining unit 310, configured to determine, according to the computing resource information, a configuration characteristic of the computing resource required by the cloud tenant. The first searching unit 320 is configured to search, if the required number of the computing resources by the cloud tenant is single, a computing resource group matching the configuration characteristics of the computing resources required by the cloud tenant from the computing resource group pool. The determining unit 330 is configured to determine whether the configuration characteristics of the multiple computing resources required by the cloud tenant are the same if the required number of the computing resources by the cloud tenant is multiple. The second searching unit 340 is configured to, if the configuration characteristics of the plurality of computing resources required by the cloud tenant are the same, search, from the computing resource group pool, a computing resource group that matches the configuration characteristics of the plurality of computing resources required by the cloud tenant. A third searching unit 350, configured to search, if the configuration characteristics of the multiple computing resources required by the cloud tenant are different, computing resource groups respectively meeting the different computing resource configuration characteristics from the computing resource group pool.
In one embodiment, the assignment module 400 includes: and a first allocating unit 410, configured to, after the first searching unit 320 searches the computing resource group matching the configuration characteristics of the computing resources required by the cloud tenant from the computing resource group pool, arbitrarily select one computing resource from the searched computing resource group within the validity period to allocate to the cloud tenant. And a second allocating unit 420, configured to, after the second searching unit 340 finds out, from the computing resource group pool, a computing resource group that matches with the configuration characteristics of the plurality of computing resources required by the cloud tenant, arbitrarily select, within the validity period, a computing resource group of the amount required by the cloud tenant from the found computing resource group, and allocate the computing resource group to the cloud tenant. A third allocating unit 430, configured to, after the third searching unit 350 searches computing resource groups respectively meeting different computing resource configuration characteristics from the computing resource group pool, randomly select, within the validity period, a computing resource group of the amount required by the cloud tenant in the corresponding computing resource group from among the found computing resource groups, and allocate the computing resource group to the cloud tenant.
In one embodiment, the system further comprises: the monitoring module 500 is configured to monitor, in real time, a utilization rate of the computing resources applied by the cloud tenant after the computing resources are allocated to the cloud tenant, and release idle computing resources in the computing resources applied by the cloud tenant when the utilization rate is smaller than a preset utilization rate.
Because the principle of solving the problems of the system is similar to that of the method for allocating the private cloud computing resources, the implementation of the system can refer to the implementation of the method, and repeated details are not repeated.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (14)

1. A method for allocating private cloud computing resources, the method comprising:
acquiring demand information input by a cloud tenant for computing resources of a private cloud, wherein the demand information comprises computing resource information, demand quantity information and valid time information; the required quantity information comprises required quantities corresponding to all computing resources in the computing resource group; the computing resource group refers to computing resource groups which are divided and classified in advance and have the same or similar configuration characteristics, the number of the computing resource groups is at least one, and each computing resource in each computing resource group has the same or similar configuration characteristics;
generating a quota policy of the cloud tenant according to the computing resource information, the required quantity information and the valid time information, wherein the quota policy comprises the required quantity and the valid period of the computing resources of the cloud tenant;
searching a computing resource group pool according to the computing resource information, and searching a computing resource group with configuration characteristics matched with the computing resource information;
and randomly selecting the computing resources meeting the required quantity from the searched computing resource groups within the valid period to be distributed to the cloud tenants.
2. The method for allocating private cloud computing resources according to claim 1, wherein before the step of arbitrarily selecting, from the searched computing resource groups, a computing resource that meets the amount required by the cloud tenant within the validity period to allocate to the cloud tenant, the method further comprises:
obtaining the charging rules of the found computing resource groups, wherein the charging rules of each computing resource group are also defined in the computing resource group pool;
charging the computing resources of the private cloud applied by the cloud tenant according to the quota policy and the charging rule to obtain quotation information;
determining whether to allocate the computing resources applied by the cloud tenant for the cloud tenant according to the quota policy and/or the quotation information.
3. The method according to claim 2, wherein the step of determining whether to allocate the computing resource applied by the cloud tenant for the cloud tenant according to the quota policy and/or the quotation information comprises:
judging whether the quota strategy is in a preset quota strategy and/or the quotation information is in budget quotation;
if so, judging that the cloud tenant application is successful, and executing the step of distributing the computing resources meeting the quota strategy for the cloud tenant from the searched computing resource group;
if not, judging that the cloud tenant application fails.
4. The method for allocating private cloud computing resources according to claim 1, wherein the computing resources in the computing resource group pool are grouped into computing resource groups with the same or similar configuration characteristics according to one or a combination of rules that system configurations of the computing resources are similar or the same, computing resource architectures are similar or the same, and price levels of the computing resources are the same.
5. The method for allocating private cloud computing resources according to claim 1, wherein the steps of searching a computing resource group pool according to the computing resource information, searching a computing resource group matched with the computing resource information, and arbitrarily selecting a computing resource group satisfying the amount required by the cloud tenant from the searched computing resource groups within the validity period to allocate to the cloud tenant comprise:
determining the configuration characteristics of the computing resources required by the cloud tenants according to the computing resource information;
if the required quantity of the cloud tenant for the computing resources is single, searching a computing resource group matched with the configuration characteristics of the computing resources required by the cloud tenant from the computing resource group pool, and randomly selecting one computing resource from the searched computing resource group within the validity period to be allocated to the cloud tenant;
if the required quantity of the cloud tenant on the computing resources is multiple, judging whether the configuration characteristics of the multiple computing resources required by the cloud tenant are the same; if the cloud tenant demand is the same as the cloud tenant demand, finding out a computing resource group matched with the configuration characteristics of a plurality of computing resources required by the cloud tenant from the computing resource group pool, and randomly selecting the computing resources required by the cloud tenant in quantity from the found computing resource group within the validity period to be distributed to the cloud tenant; and if the computing resource groups are different, respectively finding out the computing resource groups matched with different configuration characteristics from the computing resource group pool, and randomly selecting the computing resources with the quantity required by the cloud tenant in the corresponding computing resource groups from the found computing resource groups within the validity period to distribute to the cloud tenant.
6. The private cloud computing resource allocation method of claim 1, wherein after allocating computing resources for the cloud tenant, the allocation method further comprises:
the utilization rate of computing resources applied by the cloud tenants is monitored in real time, and when the utilization rate is smaller than a preset utilization rate, idle computing resources in the computing resources applied by the cloud tenants are released.
7. A private cloud computing resource allocation system, the allocation system comprising:
the system comprises a demand information acquisition module, a processing module and a processing module, wherein the demand information acquisition module is used for acquiring demand information of computing resources of a private cloud, which is input by a cloud tenant, and the demand information comprises computing resource information, demand quantity information and effective time information; the required quantity information comprises required quantities corresponding to all computing resources in the computing resource group; the computing resource group refers to computing resource groups which are divided and classified in advance and have the same or similar configuration characteristics, the number of the computing resource groups is at least one, and each computing resource in each computing resource group has the same or similar configuration characteristics;
a quota policy generation module, configured to generate a quota policy of the cloud tenant according to the computing resource information, the required quantity information, and the valid time information, where the quota policy includes a required quantity and a valid period of the computing resource of the cloud tenant;
the searching module is used for searching a computing resource group pool according to the computing resource information and searching a computing resource group matched with the computing resource information;
and the distribution module is used for randomly selecting the computing resources meeting the required quantity from the searched computing resource groups within the validity period and distributing the computing resources to the cloud tenants.
8. The private cloud computing resource allocation system of claim 7, further comprising:
a charging rule obtaining module, configured to obtain a charging rule of the found computing resource group before allocating, to the cloud tenant, a computing resource that meets the quota policy from the found computing resource group, where a charging rule of each computing resource group is also defined in the computing resource group pool;
the quotation information obtaining module is used for charging the computing resources of the private cloud applied by the cloud tenant according to the quota policy and the charging rule to obtain quotation information;
and the allocation determining module is used for determining whether the computing resources applied by the cloud tenant are allocated to the cloud tenant according to the quota policy and/or the quotation information.
9. The private cloud computing resource allocation system of claim 8, wherein said allocation determination module comprises:
the judging unit is used for judging whether the quota strategy is in a preset quota strategy and/or the quotation information is in budget quotation; if so, judging that the cloud tenant application is successful, and entering the distribution module; if not, judging that the cloud tenant application fails.
10. The private cloud computing resource allocation system according to claim 7, wherein the computing resources in the computing resource group pool are grouped into computing resource groups with the same or similar configuration characteristics according to one or a combination of rules that the system configurations of the computing resources are similar or the same, the computing resource architectures are similar or the same, and the price levels of the computing resources are the same.
11. The private cloud computing resource allocation system of claim 7, wherein said lookup module comprises:
the determining unit is used for determining the configuration characteristics of the computing resources required by the cloud tenants according to the computing resource information;
the first searching unit is used for searching a computing resource group matched with the configuration characteristics of the computing resources required by the cloud tenant from the computing resource group pool if the required quantity of the cloud tenant for the computing resources is single;
the judging unit is used for judging whether the configuration characteristics of a plurality of computing resources required by the cloud tenant are the same or not if the required quantity of the cloud tenant to the computing resources is multiple;
the second searching unit is used for searching a computing resource group matched with the configuration characteristics of the plurality of computing resources required by the cloud tenant from the computing resource group pool if the configuration characteristics of the plurality of computing resources required by the cloud tenant are the same;
a third searching unit, configured to search, if configuration characteristics of multiple computing resources required by the cloud tenant are different, computing resource groups respectively meeting the different computing resource configuration characteristics from the computing resource group pool;
the distribution module includes:
the first allocation unit is used for randomly selecting one computing resource from the found computing resource groups within the validity period to allocate to the cloud tenant after the first search unit searches the computing resource groups matched with the configuration characteristics of the computing resources required by the cloud tenant from the computing resource group pool;
the second allocation unit is used for randomly selecting the computing resources with the quantity required by the cloud tenant from the searched computing resource groups within the validity period and allocating the computing resources to the cloud tenant after the second search unit searches the computing resource groups matched with the configuration characteristics of the plurality of computing resources required by the cloud tenant from the computing resource group pool;
and the third allocation unit is used for randomly selecting the computing resources of the required number of the cloud tenants in the corresponding computing resource group from the searched computing resource groups within the validity period to allocate to the cloud tenants after the third searching unit searches the computing resource groups respectively meeting different computing resource configuration characteristics from the computing resource group pool.
12. The private cloud computing resource allocation system of claim 7, further comprising:
the monitoring module is used for monitoring the utilization rate of the computing resources applied by the cloud tenants in real time after the computing resources are distributed to the cloud tenants, and releasing the idle computing resources in the computing resources applied by the cloud tenants when the utilization rate is smaller than a preset utilization rate.
13. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109542580A (en) * 2017-09-22 2019-03-29 中兴通讯股份有限公司 A kind of method for managing resource, device, equipment and computer readable storage medium
CN107797766A (en) * 2017-09-27 2018-03-13 郑州云海信息技术有限公司 A kind of method and apparatus for creating volume
CN109840139A (en) * 2017-11-29 2019-06-04 北京金山云网络技术有限公司 Method, apparatus, electronic equipment and the storage medium of resource management
CN110197368B (en) * 2018-03-21 2024-02-13 腾讯科技（深圳）有限公司 Cloud resource processing method, device and storage medium
CN109144726A (en) * 2018-08-09 2019-01-04 深圳市瑞云科技有限公司 A method of by group come scheduling node machine
CN111464583B (en) * 2019-01-22 2023-04-07 阿里巴巴集团控股有限公司 Computing resource allocation method, device, server and storage medium
CN110837417A (en) * 2019-09-24 2020-02-25 华为技术有限公司 Recommendation method and device for cloud system resource set and computing device cluster
CN110719325A (en) * 2019-09-30 2020-01-21 恩亿科(北京)数据科技有限公司 Method and device for responding to user request
CN112905349B (en) * 2021-03-18 2023-04-07 上海零数众合信息科技有限公司 Instruction set-oriented high-availability computing control method
CN115529299A (en) * 2021-06-24 2022-12-27 支付宝(杭州)信息技术有限公司 Method, device and system for issuing and discovering private computing data resources
CN115525919A (en) * 2021-06-25 2022-12-27 支付宝(杭州)信息技术有限公司 Method, device and system for determining computing resources in privacy computing

Family Cites Families (6)

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Publication number Priority date Publication date Assignee Title
CN102185926A (en) * 2011-05-25 2011-09-14 盛大计算机（上海）有限公司 Cloud computing resource management system and method
CN103248659B (en) * 2012-02-13 2016-04-20 北京华胜天成科技股份有限公司 A kind of cloud computing resource scheduling method and system
CN103634330A (en) * 2012-08-20 2014-03-12 曙光信息产业(北京)有限公司 Automatic resource distribution method in cloud calculation environment
CN103024078A (en) * 2012-12-31 2013-04-03 无锡城市云计算中心有限公司 Resource allocation method and device in cloud computing environment
CN104168318B (en) * 2014-08-18 2018-03-23 中国联合网络通信集团有限公司 A kind of Resource service system and its resource allocation methods
US11496413B2 (en) * 2014-12-23 2022-11-08 Telefonaktiebolaget Lm Ericsson (Publ) Allocating cloud computing resources in a cloud computing environment based on user predictability

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