CN107729154A - Resource allocation methods and device - Google Patents
Resource allocation methods and device Download PDFInfo
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- CN107729154A CN107729154A CN201711098394.9A CN201711098394A CN107729154A CN 107729154 A CN107729154 A CN 107729154A CN 201711098394 A CN201711098394 A CN 201711098394A CN 107729154 A CN107729154 A CN 107729154A
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- node
- resource allocation
- resource information
- resource
- bandwidth
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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
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
Abstract
The disclosure is directed to resource allocation methods and device.This method includes：The resource allocation policy of n system is obtained, the n is greater than 1 positive integer, and the resource allocation policy indicates to take the resource information of equipment needed for each system；Resource information is divided to by n node according to the resource allocation policy, the n node corresponds with the n system；The n system is deployed to the corresponding n node respectively.The technical scheme disposes n system by granularity of node, the Resource Information Service of each node is in corresponding system, when can ensure to carry out mixed deployment with other system in the case of each system service, the resource that will not be used is grabbed by its system, so as to improve the utilization rate of resource, storage and the cost calculated are effectively reduced.
Description
Technical field
This disclosure relates to computer realm, more particularly to resource allocation methods and device.
Background technology
At present, in field of distributed storage, the rationalization distribution of cluster resource is always a problem.Current big number
It is typically all by distributed computing system, distributed key assignments (Key-Value, KV) database and distributed file system according to platform
Form.If distributed computing system and distributed KV databases are deployed in into same cluster simultaneously, calculating occurs often
System, which seizes excess resource, causes the service of distributed KV databases to be affected.Because current distributed KV databases
Or disposed by granularity of machine, granularity is not careful enough in the distribution of some resources, causes to mix with other systems
Resource not enough situation occurs during deployment.
The content of the invention
The embodiment of the present disclosure provides resource allocation methods and device.The technical scheme is as follows：
According to the first aspect of the embodiment of the present disclosure, there is provided a kind of resource allocation methods, including：
The resource allocation policy of n system is obtained, the n is greater than 1 positive integer, and the resource allocation policy instruction is each
The resource information of equipment is taken needed for system；
Resource information is divided to by n node, the n node and the n system according to the resource allocation policy
Correspond；
The n system is deployed to the corresponding n node respectively.
The technical scheme provided by this disclosed embodiment can include the following benefits：N are disposed by granularity of node
System, the Resource Information Service of each node is in corresponding system, it is ensured that in the case of each system service with other system
When system carries out mixed deployment, the resource that will not be used is grabbed by its system, so as to improve the utilization rate of resource, is effectively subtracted
Storage and the cost calculated are lacked.
In one embodiment, methods described also includes：
It is the resource information of the n system configuration corresponding node when running the n system.
In one embodiment, each system includes KV databases and file system, the money for obtaining n system
Source allocation strategy includes：
Obtain CPU quantity, bandwidth and the memory space taken needed for the KV databases；
Obtain CPU quantity, bandwidth and the memory space taken needed for the file system.
In one embodiment, it is described resource information is divided to by n node according to the resource allocation policy to include：
The resource information that equipment is taken needed for each system is divided to 2 nodes；
Wherein, the resource information of the first node meets the CPU quantity of occupancy, bandwidth needed for the KV databases and deposited
Store up space；The resource information of the section point meets the CPU quantity, bandwidth and storage sky taken needed for the file system
Between.
In one embodiment, the KV databases and file system are all distributed, and belong to Distributed Calculation
System.
According to the second aspect of the embodiment of the present disclosure, there is provided a kind of resource allocation device, including：
Acquisition module, for obtaining the resource allocation policy of n system, the n is greater than 1 positive integer, the resource
Allocation strategy indicates to take the resource information of equipment needed for each system；
Division module, for resource information to be divided into n node, the n node according to the resource allocation policy
Corresponded with the n system；
Deployment module, for the n system to be deployed into the corresponding n node respectively.
In one embodiment, described device also includes：
Distribute module, for when running the n system, being the resource information of the n system configuration corresponding node.
In one embodiment, each system includes KV databases and file system, and the acquisition module includes：
First acquisition submodule, for obtaining the CPU quantity, bandwidth and the memory space that are taken needed for the KV databases；
Second acquisition submodule, for obtaining the CPU quantity, bandwidth and the memory space that are taken needed for the file system.
In one embodiment, the division module includes：
Submodule is divided, for the resource information that equipment is taken needed for each system to be divided into 2 nodes；
Wherein, the resource information of the first node meets the CPU quantity of occupancy, bandwidth needed for the KV databases and deposited
Store up space；The resource information of the section point meets the CPU quantity, bandwidth and storage sky taken needed for the file system
Between.
In one embodiment, the KV databases and file system are all distributed, and belong to Distributed Calculation
System.
According to the third aspect of the embodiment of the present disclosure, there is provided a kind of resource allocation device, including：Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
The resource allocation policy of n system is obtained, the n is greater than 1 positive integer, and the resource allocation policy instruction is each
The resource information of equipment is taken needed for system；
Resource information is divided to by n node, the n node and the n system according to the resource allocation policy
Correspond；
The n system is deployed to the corresponding n node respectively.
It should be appreciated that the general description and following detailed description of the above are only exemplary and explanatory, not
The disclosure can be limited.
Brief description of the drawings
Accompanying drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the disclosure
Example, and be used to together with specification to explain the principle of the disclosure.
Fig. 1 is the flow chart of the resource allocation methods according to an exemplary embodiment.
Fig. 2 is the flow chart of the resource allocation methods according to an exemplary embodiment.
Fig. 3 is the flow chart of the resource allocation methods according to an exemplary embodiment.
Fig. 4 is the flow chart of the resource allocation methods according to an exemplary embodiment.
Fig. 5 is the flow chart of the resource allocation methods according to an exemplary embodiment.
Fig. 6 is the block diagram of the resource allocation device according to an exemplary embodiment.
Fig. 7 is the block diagram of the resource allocation device according to an exemplary embodiment.
Fig. 8 is the block diagram of the resource allocation device according to an exemplary embodiment.
Fig. 9 is the block diagram of the resource allocation device according to an exemplary embodiment.
Figure 10 is the block diagram of the resource allocation device according to an exemplary embodiment.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the disclosure.
Distributed computing system is a kind of configuration mode of computer hardware and corresponding functional configuration mode.It is a kind of
The computing system of multiprocessor, each processor are made up of unified system interference networks.System uses distributed computing fabric,
Corresponding processor is given the share tasks that central processing unit in original system is handled, realizes each processor of difference in functionality
It is mutually coordinated, the peripheral hardware and software of shared system.The processing speed of system is thus accelerated, simplifies the logic knot of main frame
Structure, the management with enterprises and institutions is automatically controlled particularly suitable for industrial production line, cost is low, easy to maintain, turns into computer
In an important directions of application field development.
In correlation technique, distributed kv databases and distributed computing system cluster mixed deployment is all using machine to be single
Position, multiple services are affixed one's name in a machine upper portion.But this dispositions method can not solve resource fight for problem, appoint once calculating
Either store tasks cause network interface card or disk load pressure excessive for business, will influence other services, cause availability to decline.
The disclosure provides a kind of resource allocation methods, and the resource allocation methods are used in resource allocation device, and the device is
A part for terminal.With reference to figure 1, Fig. 1 is a kind of flow chart of resource allocation methods according to an exemplary embodiment.Such as
Shown in Fig. 1, this method comprises the following steps 101 to 103：
In a step 101, the resource allocation policy of n system is obtained.
Here, n is greater than 1 positive integer.Resource allocation policy indicates to take the resource information of equipment, money needed for each system
Source information includes：It is required central processing unit (Central Processing Unit, CPU) number, required memory space, required
These systems such as bandwidth need to take the resource of all kinds of equipment.
In a step 102, resource information is divided to by n node according to resource allocation policy.
Generally, the corresponding node of a system, therefore, n node corresponds with n system；And distribute
Resource information needs to meet that each system can meet its needs.
Example, it is assumed that there are 3 systems A, B and C, wherein, A needs 1 CPU, 50G spaces and 20M bandwidth；B needs 10
Individual CPU, 5G space and 2M bandwidth；C only needs 500G spaces；The resource information of equipment includes 15 CPU, 600G spaces and 30M
Bandwidth, then, these resource informations can be divided into 3 nodes, therefore, need to distribute 1 CPU, 50G sky for A according to respective
Between and 20M bandwidth；10 CPU, 5G spaces and 2M bandwidth are distributed for B；500G spaces are distributed for C, it can be seen that what A was needed most
Space and bandwidth, that B is needed most is CPU, and what C was needed most is space, therefore, can according to it is above-mentioned the characteristics of, will it is remaining not
The resource of distribution is reallocated again, and the unappropriated resource that can not also reallocate gives over to standby.
What deserves to be explained is the distribution according to need of the present embodiment is allocated according to the actual demand of each system, from
And prevent that some system resources are insufficient, some system resource wastes.
In step 103, n system is deployed to corresponding n node respectively.
Step 102 only completes the distribution of resource information, does not associate system with node, consequently facilitating quick use
The resource information of node.Step 103 equivalent to a corresponding relation for establishing node and system, using resource information when
Wait, the resource of corresponding node can be quickly distributed for system.
In the present embodiment, n system is disposed by granularity of node, it is ensured that each in the case of system service with it is other
System carries out mixed deployment, and the resource that will not be used is grabbed by its system, so as to improve the utilization rate of resource, effectively subtracted
Storage and the cost calculated are lacked.
In one embodiment, with reference to figure 2, Fig. 2 is a kind of resource allocation methods according to an exemplary embodiment
Flow chart.As shown in Fig. 2 this method also includes：
At step 104, it is the resource information of n system configuration corresponding node when running n system.
In the present embodiment, in running, each system can use the resource information of the node distributed, it is therefore prevented that resource
Grab.Such as such as above-mentioned tri- systems of A, B and C, equipment are divided into three nodes, A system deployments to first node, first node is
A systems provide at 1 CPU, 50G space and 20M bandwidth；B system is deployed to section point, section point be B system at least
10 CPU, 5G spaces and 2M bandwidth are provided；C system is deployed to the 3rd node, and the 3rd node is that C system provides at 500G skies
Between, so, in tri- systems of A, B and C are run simultaneously, each system is only using the resource information for the node being deployed to.
In one embodiment, with reference to figure 3, Fig. 3 is a kind of resource allocation methods according to an exemplary embodiment
Flow chart.As shown in figure 3, the resource allocation policy of the step 101 in Fig. 1, i.e. n system of acquisition, when each system includes
When KV databases and file system, step 101 may comprise steps of：
In step 201, CPU quantity, bandwidth and the memory space taken needed for KV databases is obtained；Obtain file system
CPU quantity, bandwidth and the memory space of required occupancy.
Here, because KV databases are databases, it is therefore desirable to memory space can relatively more, relative CPU and bandwidth
Requirement will not be too high, requirement of the file system to CPU and bandwidth can be higher.
In the present embodiment, KV databases and file system are all distributed, and belong to distributed computing system.
In one embodiment, with reference to figure 4, Fig. 4 is a kind of resource allocation methods according to an exemplary embodiment
Flow chart.As shown in figure 4, the step 102 in Fig. 1, i.e., be divided to n node according to resource allocation policy by resource information,
It may comprise steps of：
In step 301, the resource information that equipment is taken needed for each system is divided to 2 nodes；Wherein, first node
Resource information meet CPU quantity, bandwidth and the memory space taken needed for KV databases；The resource information of section point meets
CPU quantity, bandwidth and the memory space taken needed for file system.
Example, the resource information of equipment includes 8 CPU, 50M bandwidth and 500G spaces, the resource of first node division
Information can include 1 CPU, 10M bandwidth and 400G spaces, and the resource information of section point division can include 7 CPU, 40M
Bandwidth and 100G spaces.
What deserves to be explained is if the inadequate resource of equipment is to distribute, then can generate for prompting increase equipment
The prompt message of resource information.
In the present embodiment, if there was only a system operation in n system, then need not just carry out node deployment, directly
It is deployed in equipment.
Fig. 5 is a kind of flow chart of resource allocation methods according to an exemplary embodiment, as shown in Fig. 2 resource
Distribution method is used in resource allocation device, and the device is applied to explorer, and this method is applied to distributed computing system
In, this method may comprise steps of 401 to 405：
In step 401, CPU quantity, bandwidth and the memory space taken needed for distributed KV databases is obtained.
In step 402, CPU quantity, bandwidth and the memory space taken needed for distributed file system is obtained.
In step 403, the resource information that equipment is taken needed for each system is divided to 2 nodes.
In step 404, it is node corresponding to distributed file system and the distribution of distributed KV databases.
In step 405, when running distributed file system and during distributed KV databases, be distributed file system and
The resource information of distributed KV databases corresponding node.
What the present embodiment solved resource in distributed computing system fights for problem, allows distributed KV databases can be with it
He coexists distributed system, and is independent of each other.
Following is embodiment of the present disclosure, can be used for performing embodiments of the present disclosure.
Fig. 6 is a kind of block diagram of resource allocation device according to an exemplary embodiment, and the device can be by soft
Part, hardware or both are implemented in combination with as some or all of of electronic equipment.As shown in fig. 6, the resource allocation device
Including：
Acquisition module 501, for obtaining the resource allocation policy of n system, the n is greater than 1 positive integer, the money
Source allocation strategy indicates to take the resource information of equipment needed for each system.
Division module 502, for resource information to be divided into n node, the n section according to the resource allocation policy
Point corresponds with the n system.
Deployment module 503, for the n system to be deployed into the corresponding n node respectively.
In one embodiment, as shown in fig. 7, described device also includes：
Distribute module 504, for when running the n system, being that the resource of the n system configuration corresponding node is believed
Breath.
In one embodiment, as shown in figure 8, each system includes KV databases and file system, the acquisition
Module 501 includes：
First acquisition submodule 5011, it is empty for obtaining the CPU quantity taken needed for the KV databases, bandwidth and storage
Between；
Second acquisition submodule 5012, it is empty for obtaining the CPU quantity taken needed for the file system, bandwidth and storage
Between.
In one embodiment, as shown in figure 9, the division module 502 includes：
Submodule 5021 is divided, for the resource information that equipment is taken needed for each system to be divided into 2 nodes；
Wherein, the resource information of the first node meets the CPU quantity of occupancy, bandwidth needed for the KV databases and deposited
Store up space；The resource information of the section point meets the CPU quantity, bandwidth and storage sky taken needed for the file system
Between.
In one embodiment, the KV databases and file system are all distributed, and belong to Distributed Calculation
System.
According to the third aspect of the embodiment of the present disclosure, there is provided a kind of resource allocation device, including：
Processor；
For storing the memory of processor-executable instruction；
Wherein, processor is configured as：
The resource allocation policy of n system is obtained, the n is greater than 1 positive integer, and the resource allocation policy instruction is each
The resource information of equipment is taken needed for system；
Resource information is divided to by n node, the n node and the n system according to the resource allocation policy
Correspond；
The n system is deployed to the corresponding n node respectively.
Above-mentioned processor is also configured to：
Methods described also includes：
It is the resource information of the n system configuration corresponding node when running the n system.
Each system includes distributed key assignments KV databases and file system, the resource for obtaining n system point
Include with strategy：
Obtain CPU quantity, bandwidth and the memory space taken needed for the KV databases；
Obtain CPU quantity, bandwidth and the memory space taken needed for the file system.
It is described resource information is divided to by n node according to the resource allocation policy to include：
The resource information that equipment is taken needed for each system is divided to 2 nodes；
Wherein, the resource information of the first node meets the CPU quantity of occupancy, bandwidth needed for the KV databases and deposited
Store up space；The resource information of the section point meets the CPU quantity, bandwidth and storage sky taken needed for the file system
Between.
On the device in above-described embodiment, wherein modules perform the concrete mode of operation in relevant this method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
Figure 10 is a kind of block diagram for resource allocation device according to an exemplary embodiment.For example, device
1900 may be provided in a server.Device 1900 includes processing component 1922, and it further comprises one or more processing
Device, and as the memory resource representated by memory 1932, can be by the instruction of the execution of processing component 1922, example for storing
Such as application program.The application program stored in memory 1932 can include it is one or more each correspond to one group
The module of instruction.In addition, processing component 1922 is configured as execute instruction, to perform the above method.
Device 1900 can also include a power supply module 1926 and be configured as the power management of performs device 1900, one
Wired or wireless network interface 1950 is configured as device 1900 being connected to network, and input and output (I/O) interface
1958.Device 1900 can be operated based on the operating system for being stored in memory 1932, such as Windows ServerTM, Mac
OS XTM, UnixTM, LinuxTM, FreeBSDTM or similar.
A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is by the processing of device 1900
When device performs so that device 1900 is able to carry out above-mentioned resource allocation methods, and methods described includes：
The resource allocation policy of n system is obtained, the n is greater than 1 positive integer, and the resource allocation policy instruction is each
The resource information of equipment is taken needed for system；
Resource information is divided to by n node, the n node and the n system according to the resource allocation policy
Correspond；
The n system is deployed to the corresponding n node respectively.
Methods described also includes：
It is the resource information of the n system configuration corresponding node when running the n system.
Each system includes distributed key assignments KV databases and file system, the resource for obtaining n system point
Include with strategy：
Obtain CPU quantity, bandwidth and the memory space taken needed for the KV databases；
Obtain CPU quantity, bandwidth and the memory space taken needed for the file system.
It is described resource information is divided to by n node according to the resource allocation policy to include：
The resource information that equipment is taken needed for each system is divided to 2 nodes；
Wherein, the resource information of the first node meets the CPU quantity of occupancy, bandwidth needed for the KV databases and deposited
Store up space；The resource information of the section point meets the CPU quantity, bandwidth and storage sky taken needed for the file system
Between.
Those skilled in the art will readily occur to the disclosure its after considering specification and putting into practice disclosure disclosed herein
Its embodiment.The application is intended to any modification, purposes or the adaptations of the disclosure, these modifications, purposes or
Person's adaptations follow the general principle of the disclosure and including the undocumented common knowledges in the art of the disclosure
Or conventional techniques.Description and embodiments are considered only as exemplary, and the true scope of the disclosure and spirit are by following
Claim is pointed out.
It should be appreciated that the precision architecture that the disclosure is not limited to be described above and is shown in the drawings, and
And various modifications and changes can be being carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.
Claims (10)
- A kind of 1. resource allocation methods, it is characterised in that including：The resource allocation policy of n system is obtained, the n is greater than 1 positive integer, and the resource allocation policy indicates each system The required resource information for taking equipment；Resource information is divided to by n node according to the resource allocation policy, the n node and the n system are one by one It is corresponding；The n system is deployed to the corresponding n node respectively.
- 2. according to the method for claim 1, it is characterised in that methods described also includes：It is the resource information of the n system configuration corresponding node when running the n system.
- 3. according to the method for claim 1, it is characterised in that each system include distributed key assignments KV databases and File system, the resource allocation policy for obtaining n system include：Obtain central processor CPU quantity, bandwidth and the memory space taken needed for the KV databases；Obtain CPU quantity, bandwidth and the memory space taken needed for the file system.
- 4. according to the method for claim 3, it is characterised in that described to be drawn resource information according to the resource allocation policy Dividing to n node includes：The resource information that equipment is taken needed for each system is divided to 2 nodes；Wherein, the resource information of the first node meets the CPU quantity, bandwidth and storage sky taken needed for the KV databases Between；The resource information of the section point meets CPU quantity, bandwidth and the memory space taken needed for the file system.
- A kind of 5. resource allocation device, it is characterised in that including：Acquisition module, for obtaining the resource allocation policy of n system, the n is greater than 1 positive integer, the resource allocation Strategy indicates to take the resource information of equipment needed for each system；Division module, for resource information to be divided into n node, the n node and institute according to the resource allocation policy N system is stated to correspond；Deployment module, for the n system to be deployed into the corresponding n node respectively.
- 6. device according to claim 5, it is characterised in that described device also includes：Distribute module, for when running the n system, being the resource information of the n system configuration corresponding node.
- 7. device according to claim 5, it is characterised in that each system includes KV databases and file system, The acquisition module includes：First acquisition submodule, for obtaining the CPU quantity, bandwidth and the memory space that are taken needed for the KV databases；Second acquisition submodule, for obtaining the CPU quantity, bandwidth and the memory space that are taken needed for the file system.
- 8. device according to claim 7, it is characterised in that the division module includes：Submodule is divided, for the resource information that equipment is taken needed for each system to be divided into 2 nodes；Wherein, the resource information of the first node meets the CPU quantity, bandwidth and storage sky taken needed for the KV databases Between；The resource information of the section point meets CPU quantity, bandwidth and the memory space taken needed for the file system.
- A kind of 9. resource allocation device, it is characterised in that including：Processor；For storing the memory of processor-executable instruction；Wherein, the processor is configured as：The resource allocation policy of n system is obtained, the n is greater than 1 positive integer, and the resource allocation policy indicates each system The required resource information for taking equipment；Resource information is divided to by n node according to the resource allocation policy, the n node and the n system are one by one It is corresponding；The n system is deployed to the corresponding n node respectively.
- 10. a kind of computer-readable recording medium, is stored thereon with computer program, it is characterised in that the program is by processor The step of any one of claim 1-4 methods described is realized during execution.
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| CN108647090A (en) * | 2018-04-03 | 2018-10-12 | 联想(北京)有限公司 | A kind of resource allocation methods and device, server cluster |
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| US20170317945A1 (en) * | 2016-04-29 | 2017-11-02 | Huawei Technologies Co., Ltd. | System and method for distributed resource management |
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| CN102958166A (en) * | 2011-08-29 | 2013-03-06 | 华为技术有限公司 | Resource allocation method and resource management platform |
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