CN107341045A - A kind of scheduling virtual machine management method and scheduler - Google Patents

A kind of scheduling virtual machine management method and scheduler Download PDF

Info

Publication number
CN107341045A
CN107341045A CN201710572560.8A CN201710572560A CN107341045A CN 107341045 A CN107341045 A CN 107341045A CN 201710572560 A CN201710572560 A CN 201710572560A CN 107341045 A CN107341045 A CN 107341045A
Authority
CN
China
Prior art keywords
virtual machine
cluster
scheduler
information
state
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201710572560.8A
Other languages
Chinese (zh)
Inventor
雷亚帅
李红卫
解晓哲
赵仁明
郭春庭
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhengzhou Yunhai Information Technology Co Ltd
Original Assignee
Zhengzhou Yunhai Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhengzhou Yunhai Information Technology Co Ltd filed Critical Zhengzhou Yunhai Information Technology Co Ltd
Priority to CN201710572560.8A priority Critical patent/CN107341045A/en
Publication of CN107341045A publication Critical patent/CN107341045A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/48Program initiating; Program switching, e.g. by interrupt
    • G06F9/4806Task transfer initiation or dispatching
    • G06F9/4843Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
    • G06F9/4881Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/4557Distribution of virtual machine instances; Migration and load balancing

Abstract

The present invention provides a kind of scheduling virtual machine management method and scheduler, the above method comprise the following steps:The service feature information and/or state characteristic information and according to the service feature information and/or the state characteristic information of virtual machine in cluster are obtained by scheduler, virtual machine is managed.In above-mentioned technical proposal, the Automatic dispatching to virtual machine in cluster is realized by scheduler, compared to manual operation, it appears more intelligence is flexible;In addition, scheduler, when being managed to virtual machine, load information and/or state characteristic information according to virtual machine in cluster enter Mobile state management to the virtual machine quantity in cluster, improve resource utilization ratio.In addition, in above-mentioned technical proposal, realize scheduler and United Dispatching is carried out to the resources of virtual machine in cluster.

Description

A kind of scheduling virtual machine management method and scheduler
Technical field
The invention belongs to Virtual Machine Manager field, more particularly to a kind of scheduling virtual machine management method and scheduler.
Background technology
Cloud computing management platform project (OpenStack), calculating, storage and Internet resources can be effectively managed, are carried significantly The high utilization rate of hardware resource, and drastically increase the maintainability and autgmentability of operation system;Cloud computing management is put down Platform project (OpenStack) provides load balancing and services the advanced of (LBaaS, Load Balance as a service) Function, by distributing load between multiple virtual machines come lifting system Performance And Reliability.
But load balancing services (LBaaS) when realizing load balancing, the management and running to the virtual machine in cluster Mode mainly have it is following some:
1st, it is when the virtual machine in cluster needs to add, it is necessary to manually operated, not enough intelligently;
2nd, do not accounted for by scheduling strategy pond when the virtual machine in cluster is scheduled according to load information pair Virtual machine quantity in cluster enters Mobile state management, causes resource utilization ratio not high;
3rd, state characteristic information (state good for use, the exception of virtual machine in cluster are obtained by health examination monitor Down state), if virtual machine is in abnormal down state, health examination monitor sends deletion to scheduling strategy pond and referred to Order, the scheduling strategy pond perform described delete and instructed, and the virtual machine that abnormal down state is in cluster is deleted.
Above-mentioned technical proposal has the following disadvantages:
1st, virtual machine is managed portion link (such as:Add virtual machine) need it is manually operated, not enough intelligently;
When the 2nd, being scheduled to virtual machine, do not account for and action is entered to the virtual machine quantity in cluster according to load information State management, cause resource utilization ratio not high;
3rd, scheduling strategy pond, health examination monitor are all the policymaker being managed to virtual machine, and policymaker is excessive, does not have There is a unified colony dispatching center, be unfavorable for the United Dispatching of resource.
Therefore, flexibly, efficiently solved there is an urgent need to a kind of using the scheme being managed collectively to virtual machine of resource Above-mentioned technical problem.
The content of the invention
The present invention provides a kind of scheduling virtual machine management method and scheduler, to solve the above problems.
The embodiment of the present invention provides a kind of scheduling virtual machine management method.The above method comprises the following steps:Pass through scheduling Device obtain in cluster the service feature information of virtual machine and/or state characteristic information and according to the service feature information and/or The state characteristic information, is managed to virtual machine;Wherein, the service feature information includes at least one of:Load Size information, load distribution information, virtual machine free time information, virtual machine connection failure information;The state characteristic information Including:Normal condition, abnormal down state.
The embodiment of the present invention provides a kind of scheduler, including acquisition module, management module;Wherein, the acquisition module with The management module is connected;
The acquisition module, for obtaining the service feature information and/or state characteristic information of virtual machine in cluster;Its In, the service feature information includes at least one of:Load information, load distribution information, virtual machine free time Information, virtual machine connection failure information;The state characteristic information includes:Normal condition, abnormal down state;
The management module, for according to the service feature information that is obtained from the acquisition module and/or described State characteristic information, is managed to virtual machine.
The embodiments of the invention provide following technical scheme:The service feature that virtual machine in cluster is obtained by scheduler is believed Breath and/or state characteristic information and according to the service feature information and/or the state characteristic information, pipe is carried out to virtual machine Reason;Wherein, the service feature information includes at least one of:Load information, load distribution information, virtual machine are idle Temporal information, virtual machine connection failure information;The state characteristic information includes:Normal condition, abnormal down state.
In above-mentioned technical proposal, the Automatic dispatching to virtual machine in cluster is realized by scheduler, compared to manual operation, Seem that more intelligence is flexibly;In addition, scheduler is to virtual machine when being managed, the load information according to virtual machine in cluster And/or state characteristic information enters Mobile state management to the virtual machine quantity in cluster, improves resource utilization ratio.
In addition, in above-mentioned technical proposal, realize scheduler and United Dispatching is carried out to the resources of virtual machine in cluster.
The embodiments of the invention provide following technical scheme:It is in abnormal unavailable if detecting in cluster and virtual machine be present State, then sent by the scheduler or the health examination monitor to the scheduling strategy pond and delete instruction;The tune Spend tactful pond and perform the deletion instruction, the virtual machine that abnormal down state is in cluster is deleted from cluster;Or If detecting, corresponding virtual machine load connection number exceedes preset value and treats to create empty without virtual machine in work queue in cluster Plan machine simultaneously adds the virtual machine of establishment in cluster;Or if queue needs work virtual machine, startup head of the queue virtual machine simultaneously will It is added in cluster;Or if the virtual machine free time in cluster exceedes preset time, shut down and joined the team, from cluster Middle deletion;Or if virtual machine connection failure number is more than preset times in cluster, delete the virtual machine.
In above-mentioned technical proposal, according to the actual conditions of virtual machine in cluster, establishment deletion is carried out to virtual machine so that collection The addition of virtual machine is deleted more flexible in group, and according to load capacity dynamic creation virtual machine and can delete virtual machine, is improved The load response ability and resource utilization of cluster, the practical value of cluster can be effectively improved.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, forms the part of the application, this hair Bright schematic description and description is used to explain the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 show the scheduling virtual machine management framework schematic diagram of the embodiment of the present invention 1;
Fig. 2 show the another scheduling virtual machine management framework schematic diagram of the embodiment of the present invention 2;
Fig. 3 show the embodiment of the present invention 3 based on the virtual of the realization under the scheduling virtual machine management framework shown in Fig. 1 Machine schedule management method process chart;
Fig. 4 show the scheduler schedules flow chart of the embodiment of the present invention 4;
Fig. 5 show the scheduler cut-away view of the embodiment of the present invention 5.
Embodiment
Describe the present invention in detail below with reference to accompanying drawing and in conjunction with the embodiments.It should be noted that do not conflicting In the case of, the feature in embodiment and embodiment in the application can be mutually combined.
Fig. 1 show the scheduling virtual machine management framework schematic diagram of the embodiment of the present invention 1, including scheduler, port snoop Device, scheduling strategy pond, health examination monitor, the cluster for including multiple virtual machines;
Wherein, the scheduler is connected with port snoop device, scheduling strategy pond, health examination monitor respectively, the end Mouth monitor is connected by the scheduling strategy pond with corresponding cluster;The health examination monitor respectively with the scheduling plan Slightly pond, the cluster are connected.
Fig. 2 show the another scheduling virtual machine management framework schematic diagram of the embodiment of the present invention 2, including scheduler 1, port Monitor 1, scheduling strategy pond 1, health examination monitor 1, the cluster 1 comprising virtual machine;
Wherein, the scheduler 1 is connected with port snoop device 1, scheduling strategy pond 1, health examination monitor 1 respectively, institute Port snoop device 1 is stated by the scheduling strategy pond 1 with corresponding cluster 1 to be connected;The health examination monitor 1 respectively with institute State scheduling strategy pond 1, the cluster 1 is connected;
Also include scheduler 2, port snoop device 2, scheduling strategy pond 2, health examination monitor 2, the collection comprising virtual machine Group 2;
Wherein, the scheduler 2 is connected with port snoop device 2, scheduling strategy pond 2, health examination monitor 2 respectively, institute Port snoop device 2 is stated by the scheduling strategy pond 2 with corresponding cluster 2 to be connected;The health examination monitor 2 respectively with institute State scheduling strategy pond 2, the cluster 2 is connected.
Further, the request on the listening port 80 of port snoop device 1;Asking on the listening port 443 of port snoop device 2 Ask.
Fig. 3 show the embodiment of the present invention 3 based on the virtual of the realization under the scheduling virtual machine management framework shown in Fig. 1 Machine schedule management method process chart, comprises the following steps:
Step 301:The service feature information and/or state characteristic information of virtual machine in cluster are obtained by scheduler;Its In, the service feature information includes load information, load distribution information, virtual machine free time information, virtual machine and connected Connect failure information;The state characteristic information includes:Normal condition, abnormal down state.
Further, by scheduler obtain cluster in virtual machine service feature information and/or state characteristic information it Before, in addition to:
Need to set following parameter or file:1) each virtual machine maximum load connection quantity Cmax;2) it is used to adjust Degree creates the mirror image of virtual machine;3) after virtual machine creating operation service startup script;4) load connection number detection cycle t; 5) virtual machine idle waiting time Tmax.
Further, the scheduler obtains the business spy of virtual machine in cluster by port snoop device, scheduling strategy pond Reference ceases.
Wherein, the scheduler obtains the service feature letter of virtual machine in cluster by port snoop device, scheduling strategy pond Before breath, in addition to:
The port snoop device for port snoop is created, each port snoop device binds a port to monitor the end Request on mouth.
Further, the scheduler obtains the state characteristic information of virtual machine in cluster by health examination monitor; The state characteristic information includes:Normal condition, abnormal down state.
Wherein, the scheduling strategy in the scheduling strategy pond Pool includes:By ask be distributed to be presently processing please Seek several minimum virtual machines;Or wheel stream distribution request;Or according to the IP address information carried in request, by the request It is distributed to the virtual machine for handling the IP address.
Wherein, detect whether each virtual machine in cluster is in normal condition by health examination monitors M onitor.
Select tri- kinds of Monitor types of HTTP, PING, TCP.It uses periodic detection method, uses detection cycle Interval, number of retries Retries, time-out time Timeout tri- parameters set detection to act.
If health examination monitor detects that some virtual machine is in abnormal down state, notice scheduler is by described Scheduler sends to scheduling strategy pond and deletes instruction;The scheduling strategy pond performs described delete and instructed, will be in cluster in different Normal down state virtual machine is deleted;Or health examination monitor detects that some virtual machine is in abnormal down state, Then directly sent from health examination monitor to scheduling strategy pond and delete instruction;The scheduling strategy pond performs the deletion and referred to Order, deleted abnormal down state virtual machine is in cluster.
Step 302:According to the service feature information of acquisition and/or the state characteristic information, virtual machine is carried out Management.
Further, be in abnormal down state if detecting and virtual machine being corresponded in cluster, by the scheduler or The health examination monitor sends to the scheduling strategy pond and deletes instruction;The scheduling strategy pond performs the deletion and referred to Order, the virtual machine that abnormal down state is in cluster is deleted from cluster.
Further, if detecting, corresponding virtual machine load connection number exceedes preset value and treated in work queue in cluster Without virtual machine, then create virtual machine and add the virtual machine of establishment in cluster;Wherein, the scheduling strategy pond timing or real-time The virtual machine being collected into is loaded into connection number and reports to the scheduler.
Wherein, if queue needs work virtual machine, start head of the queue virtual machine and be added into cluster.
Further, if the virtual machine free time in cluster exceedes preset time, shut down and joined the team, from cluster Delete;Or if virtual machine connection failure number is more than preset times in cluster, delete the virtual machine;Wherein, the scheduling The virtual machine free time being collected into or virtual machine connection failure number are reported to the scheduler by tactful pond timing in real time.
The embodiments of the invention provide following technical scheme:The service feature that virtual machine in cluster is obtained by scheduler is believed Breath and/or state characteristic information and according to the service feature information and/or the state characteristic information, pipe is carried out to virtual machine Reason;Wherein, the service feature information includes at least one of:Load information, load distribution information;The state is special Reference breath includes:Normal condition, abnormal down state.
In above-mentioned technical proposal, realize scheduler and United Dispatching is carried out to the resources of virtual machine in cluster;Scheduling is appointed Business is integrated in a scheduler, and the scheduler is responsible for the task that execution information is collected, performs scheduler task.
In the embodiment of the present invention, the service feature information and/or state feature of virtual machine in cluster are obtained by scheduler Information and according to the service feature information and/or the state characteristic information, is managed to virtual machine;Wherein, manager Formula includes creating virtual machine (mirror image, network and the template types flavor specified according to user creates virtual machine) and is added into In cluster, delete virtual machine, termination virtual machine.
On the one hand realize scheduler and United Dispatching is carried out to the resources of virtual machine in cluster, on the other hand pass through scheduler The Automatic dispatching to virtual machine in cluster is realized, compared to manual operation, it appears more intelligence is flexible;In addition, scheduler is right When virtual machine is managed, the load information and/or state characteristic information according to virtual machine in cluster are to the virtual machine in cluster Quantity enters Mobile state management, improves resource utilization ratio.
Scheduler is when performing scheduling, by calling Nova, Neutron, Glance modules A PI to be scheduled operation.
Fig. 4 show the scheduler schedules flow chart of the embodiment of the present invention 4, comprises the following steps:
Step 401:Start;
Step 402:Initialization;
Step 403:Scheduler is collected information and judged;
The service feature information and/or state characteristic information and according to the industry of virtual machine in cluster are obtained by scheduler Business characteristic information and/or the state characteristic information, are judged.
Step 404:If detecting, corresponding virtual machine load connection number exceedes preset value in cluster, if no more than default Value, then perform step 405;Otherwise, step 406 is performed;
Step 405:Judge whether the virtual machine free time in cluster exceedes preset time, if exceeding, perform step 409, otherwise, perform step 410;
Step 406:Judgement treats whether work queue is empty, if it is empty, then performs step 407, otherwise, performs step 408;
Step 407:Create virtual machine and add cluster;
Step 408:Start head of the queue virtual machine and add cluster;
Step 409:Shut down simultaneously enqueue;
If the virtual machine free time in cluster exceedes preset time, shut down and joined the team, deleted from cluster.
Step 410:Judge whether virtual machine connection failure number is more than preset times in cluster, if so, then performing step 411;Otherwise, step 403 is performed;
Step 411:Delete virtual machine.
Fig. 5 show the scheduler cut-away view of the embodiment of the present invention 5, including acquisition module, management module;Wherein, The acquisition module is connected with the management module;
The acquisition module, it is special for obtaining the service feature information of virtual machine and/or state in cluster by scheduler Reference ceases;Wherein, the service feature information includes at least one of:Load information, load distribution information, virtual machine Free time information, virtual machine connection failure information;The state characteristic information includes:Normal condition, abnormal down state;
The management module, for according to the service feature information that is obtained from the acquisition module and/or described State characteristic information, is managed to virtual machine.
The embodiments of the invention provide following technical scheme:The service feature that virtual machine in cluster is obtained by scheduler is believed Breath and/or state characteristic information and according to the service feature information and/or the state characteristic information, pipe is carried out to virtual machine Reason;Wherein, the service feature information includes at least one of:Load information, load distribution information, virtual machine are idle Temporal information, virtual machine connection failure information;The state characteristic information includes:Normal condition, abnormal down state.
In above-mentioned technical proposal, the Automatic dispatching to virtual machine in cluster is realized by scheduler, compared to manual operation, Seem that more intelligence is flexibly;In addition, scheduler is to virtual machine when being managed, the load information according to virtual machine in cluster And/or state characteristic information enters Mobile state management to the virtual machine quantity in cluster, improves resource utilization ratio.
In addition, in above-mentioned technical proposal, realize scheduler and United Dispatching is carried out to the resources of virtual machine in cluster.
The embodiments of the invention provide following technical scheme:It is in abnormal unavailable if detecting in cluster and virtual machine be present State, then sent by the scheduler or the health examination monitor to the scheduling strategy pond and delete instruction;The tune Spend tactful pond and perform the deletion instruction, the virtual machine that abnormal down state is in cluster is deleted from cluster;Or If detecting, corresponding virtual machine load connection number exceedes preset value and treats to create empty without virtual machine in work queue in cluster Plan machine simultaneously adds the virtual machine of establishment in cluster;Or if queue needs work virtual machine, startup head of the queue virtual machine simultaneously will It is added in cluster;Or if the virtual machine free time in cluster exceedes preset time, shut down and joined the team, from cluster Middle deletion;Or if virtual machine connection failure number is more than preset times in cluster, delete the virtual machine.
In above-mentioned technical proposal, according to the actual conditions of virtual machine in cluster, establishment deletion is carried out to virtual machine so that collection The addition of virtual machine is deleted more flexible in group, and according to load capacity dynamic creation virtual machine and can delete virtual machine, is improved The load response ability and resource utilization of cluster, the practical value of cluster can be effectively improved.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies Change, equivalent substitution, improvement etc., should be included in the scope of the protection.

Claims (11)

1. a kind of scheduling virtual machine management method, it is characterised in that comprise the following steps:
The service feature information of virtual machine and/or state characteristic information and special according to the business are obtained in cluster by scheduler Reference ceases and/or the state characteristic information, and virtual machine is managed;Wherein, the service feature information is included below extremely It is one of few:Load information, load distribution information, virtual machine free time information, virtual machine connection failure information;The shape State characteristic information includes:Normal condition, abnormal down state.
2. according to the method for claim 1, it is characterised in that the scheduler passes through port snoop device, scheduling strategy pond Obtain the service feature information of virtual machine in cluster.
3. according to the method for claim 1, it is characterised in that the scheduler obtains cluster by health examination monitor The state characteristic information of middle virtual machine.
4. according to the method for claim 2, it is characterised in that the scheduler passes through port snoop device, scheduling strategy pond Obtain in cluster before the service feature information of virtual machine, in addition to:
The port snoop device for port snoop is created, each port snoop device binds a port to monitor on the port Request.
5. according to the method for claim 2, it is characterised in that the scheduling strategy in the scheduling strategy pond includes:Please Ask and be distributed to the minimum virtual machine of the number of request being presently processing;Or wheel stream distribution request;Or taken according in request The IP address information of band, the request is distributed to the virtual machine for handling the IP address.
6. according to the method for claim 3, it is characterised in that each void in cluster is detected by health examination monitor Whether plan machine is in normal condition.
7. according to the method for claim 6, it is characterised in that if detect in cluster exist virtual machine be in it is abnormal can not With state, then sent by the scheduler or the health examination monitor to the scheduling strategy pond and delete instruction;It is described Scheduling strategy pond performs described delete and instructed, and the virtual machine that abnormal down state is in cluster is deleted from cluster.
8. according to the method for claim 2, it is characterised in that surpass if detecting in cluster and virtual machine load connection number be present Cross preset value and treat then to create virtual machine without virtual machine in work queue and add the virtual machine of establishment in cluster;Wherein, institute State the timing of scheduling strategy pond or the virtual machine being collected into is loaded into connection number in real time and report to the scheduler.
9. according to the method for claim 8, it is characterised in that if queue needs work virtual machine, it is virtual to start head of the queue Machine is simultaneously added into cluster.
10. according to the method for claim 2, it is characterised in that if the virtual machine free time in cluster exceedes default Between, then shut down and joined the team, deleted from cluster;Or if virtual machine connection failure number is more than preset times in cluster, Delete the virtual machine;Wherein, the scheduling strategy pond regularly or in real time connects the virtual machine free time being collected into or virtual machine Connect the frequency of failure and report to the scheduler.
11. a kind of scheduler, it is characterised in that including acquisition module, management module;Wherein, the acquisition module and the pipe Reason module is connected;
The acquisition module, believe for obtaining the service feature information of virtual machine and/or state feature in cluster by scheduler Breath;Wherein, the service feature information includes at least one of:Load information, load distribution information, virtual machine are idle Temporal information, virtual machine connection failure information;The state characteristic information includes:Normal condition, abnormal down state;
The management module, for according to the service feature information and/or the state obtained from the acquisition module Characteristic information, virtual machine is managed.
CN201710572560.8A 2017-07-13 2017-07-13 A kind of scheduling virtual machine management method and scheduler Pending CN107341045A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710572560.8A CN107341045A (en) 2017-07-13 2017-07-13 A kind of scheduling virtual machine management method and scheduler

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710572560.8A CN107341045A (en) 2017-07-13 2017-07-13 A kind of scheduling virtual machine management method and scheduler

Publications (1)

Publication Number Publication Date
CN107341045A true CN107341045A (en) 2017-11-10

Family

ID=60219800

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710572560.8A Pending CN107341045A (en) 2017-07-13 2017-07-13 A kind of scheduling virtual machine management method and scheduler

Country Status (1)

Country Link
CN (1) CN107341045A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108900583A (en) * 2018-06-15 2018-11-27 西安电子科技大学 A kind of SiteServer LBS and equalization methods of intelligent automation
CN109586951A (en) * 2018-11-07 2019-04-05 北京达佳互联信息技术有限公司 Implement method, apparatus, electronic equipment and the readable storage medium storing program for executing of failure transfer
CN110278133A (en) * 2019-07-31 2019-09-24 中国工商银行股份有限公司 Inspection method, device, calculating equipment and the medium executed by server
CN113220409A (en) * 2021-02-01 2021-08-06 浪潮云信息技术股份公司 Virtual machine monitoring system and method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102427475A (en) * 2011-12-08 2012-04-25 曙光信息产业(北京)有限公司 Load balance scheduling system in cloud computing environment
CN102646062A (en) * 2012-03-20 2012-08-22 广东电子工业研究院有限公司 Flexible capacity enlargement method for cloud computing platform based application clusters
US20130219385A1 (en) * 2012-02-21 2013-08-22 Disney Enterprises, Inc. Batch scheduler management of virtual machines
CN104917805A (en) * 2015-01-14 2015-09-16 杭州华三通信技术有限公司 Load sharing method and equipment
CN106549783A (en) * 2015-09-18 2017-03-29 中兴通讯股份有限公司 Virtual-machine fail treating method and apparatus

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102427475A (en) * 2011-12-08 2012-04-25 曙光信息产业(北京)有限公司 Load balance scheduling system in cloud computing environment
US20130219385A1 (en) * 2012-02-21 2013-08-22 Disney Enterprises, Inc. Batch scheduler management of virtual machines
CN102646062A (en) * 2012-03-20 2012-08-22 广东电子工业研究院有限公司 Flexible capacity enlargement method for cloud computing platform based application clusters
CN104917805A (en) * 2015-01-14 2015-09-16 杭州华三通信技术有限公司 Load sharing method and equipment
CN106549783A (en) * 2015-09-18 2017-03-29 中兴通讯股份有限公司 Virtual-machine fail treating method and apparatus

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108900583A (en) * 2018-06-15 2018-11-27 西安电子科技大学 A kind of SiteServer LBS and equalization methods of intelligent automation
CN109586951A (en) * 2018-11-07 2019-04-05 北京达佳互联信息技术有限公司 Implement method, apparatus, electronic equipment and the readable storage medium storing program for executing of failure transfer
CN109586951B (en) * 2018-11-07 2020-04-17 北京达佳互联信息技术有限公司 Method, device, electronic equipment and readable storage medium for implementing fault transfer
CN110278133A (en) * 2019-07-31 2019-09-24 中国工商银行股份有限公司 Inspection method, device, calculating equipment and the medium executed by server
CN110278133B (en) * 2019-07-31 2021-08-13 中国工商银行股份有限公司 Checking method, device, computing equipment and medium executed by server
CN113220409A (en) * 2021-02-01 2021-08-06 浪潮云信息技术股份公司 Virtual machine monitoring system and method

Similar Documents

Publication Publication Date Title
CN109672627A (en) Method for processing business, platform, equipment and storage medium based on cluster server
CN107341045A (en) A kind of scheduling virtual machine management method and scheduler
CN106844198B (en) Distributed dispatching automation test platform and method
CN107943555A (en) Big data storage and processing platform and processing method under a kind of cloud computing environment
TWI439940B (en) A Distributed Task System and Distributed Task Management Method
CN109669758A (en) Concocting method, device, equipment and the storage medium of server resource
CN106209482A (en) A kind of data center monitoring method and system
WO2021159638A1 (en) Method, apparatus and device for scheduling cluster queue resources, and storage medium
CN107885594A (en) Distributed resource scheduling method, scheduling node and access node
CN107426274A (en) The method and system of service application and monitoring analysis scheduling based on sequential
CN106933662A (en) Distributed system and its dispatching method and dispatching device
CN110308980A (en) Batch processing method, device, equipment and the storage medium of data
CN102457578B (en) A kind of distributed network monitoring method based on case mechanism
CN109710416B (en) Resource scheduling method and device
US10142997B2 (en) Method and apparatus for adjusting physical resource, and controller
CN109597837B (en) Time sequence data storage method, time sequence data query method and related equipment
CN103744735B (en) The dispatching method and device of a kind of multi-core resource
CN106371976A (en) Method and system for monitoring thread by client and Web server
CN109117280A (en) The method that is communicated between electronic device and its limiting process, storage medium
CN106790678A (en) A kind of Transmission system and method for ensureing the consumption of significant data prioritised transmission
CN106034047B (en) Data processing method and device
CN113515363B (en) Special-shaped task high-concurrency multi-level data processing system dynamic scheduling platform
CN107844339A (en) Method for scheduling task and plug-in unit and server
CN107479974A (en) A kind of dispatching method of virtual machine and device
CN110225088A (en) A kind of cloud desktop management method and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20171110