CN109271251A - A method of by constraining come scheduling node machine - Google Patents

A method of by constraining come scheduling node machine Download PDF

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Publication number
CN109271251A
CN109271251A CN201810905149.2A CN201810905149A CN109271251A CN 109271251 A CN109271251 A CN 109271251A CN 201810905149 A CN201810905149 A CN 201810905149A CN 109271251 A CN109271251 A CN 109271251A
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CN
China
Prior art keywords
task
node station
binding occurrence
node
user
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
CN201810905149.2A
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Chinese (zh)
Inventor
宗含含
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.)
SHENZHEN RENDERBUS TECHNOLOGY Co Ltd
Original Assignee
SHENZHEN RENDERBUS 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 SHENZHEN RENDERBUS TECHNOLOGY Co Ltd filed Critical SHENZHEN RENDERBUS TECHNOLOGY Co Ltd
Priority to CN201810905149.2A priority Critical patent/CN109271251A/en
Publication of CN109271251A publication Critical patent/CN109271251A/en
Pending legal-status Critical Current

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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
    • G06F9/46Multiprogramming 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
    • 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]
    • G06F9/5061Partitioning or combining of resources
    • G06F9/5066Algorithms for mapping a plurality of inter-dependent sub-tasks onto a plurality of physical CPUs

Abstract

The present invention discloses a kind of by constraining come the method for scheduling node machine, including to Node station the first binding occurrence is arranged, to the second binding occurrence of user setting, when task meets less than the first binding occurrence and the second binding occurrence simultaneously, Node station runs task.The present invention avoids Node station from overloading, to avoid the system failure or collapse of Cloud Server by the way that the first binding occurrence is arranged to Node station.By giving the second binding occurrence of user setting, the operation task quantity of user is limited, avoids sole user from occupying the excessive resource of Cloud Server, promotes user experience.

Description

A method of by constraining come scheduling node machine
Technical field
The present invention relates to field of cloud computer technology more particularly to a kind of by constraining come the method for scheduling node machine.
Background technique
In current cloud, cloud service, field of cloud calculation, to the control of computer room machine always be one it is important How link carries out control effectively freely to the machine of computer room and deploys, be a great problem in field of cloud calculation.If no It can control well, it is easy to cause the system failure or collapse of Cloud Server, system stability is poor.Meanwhile cloud service is crowd More users provides service, if some user largely occupies Cloud Server resource, will lead to other users and uses cloud service The experience of device is deteriorated.
Therefore, the prior art is defective, needs to improve.
Summary of the invention
The technical problem to be solved by the present invention is providing a kind of by constraining come the method for scheduling node machine, cloud is avoided to take The system failure or collapse of business device, while sole user being avoided to occupy too many Cloud Server resource.
Technical scheme is as follows: provide it is a kind of by constraining come the method for scheduling node machine, Cloud Server be packet Machine pond containing several Node stations, includes the following steps.
S1: its first binding occurrence is arranged to each Node station, to user setting second in the management server of Cloud Server Binding occurrence, first binding occurrence be Node station in can occupied maximum resource value, second binding occurrence be maximum fortune Row task quantity.
S2: user submits task to Cloud Server, and management server receives task and distributes task, Node station to Node station It receives the task and estimating and runs the task and need the resource value that occupies, Node station calculates total occupied after running the task Resource value.
S3: if the occupied resource value of Node station always in step S2 is greater than the first binding occurrence, Node station wouldn't be run Distributing in step S2 for task, distributing in step S2 for task wait until the total occupied resource value of Node station about less than first Beam value;If the occupied resource value of Node station always in step S2 is transferred to step S4 less than the first binding occurrence.Limit Node station Occupied resource value, avoids Node station from overloading, to avoid the system failure or collapse of Cloud Server.
S4: if the task quantity of user's operation is greater than the second binding occurrence, what Node station wouldn't distribute in operating procedure S2 appoints It is engaged in, distributing in step S2 for task waits until the task quantity of user's operation less than the second binding occurrence;If the task of user's operation Quantity is less than the second binding occurrence, the distributing in Node station operating procedure S2 of the task.The operation task quantity for limiting user, avoids list The excessive resource of one user occupancy Cloud Server promotes user experience.
Further, the management server uses Python script.
Using the above scheme, the present invention provides a kind of by constraining come the method for scheduling node machine, by setting to Node station The first binding occurrence is set, Node station is avoided to overload, to avoid the system failure or collapse of Cloud Server.By to user setting the Two binding occurrences limit the operation task quantity of user, avoid sole user from occupying the excessive resource of Cloud Server, promote user's body It tests.
Detailed description of the invention
Fig. 1 is flow chart of the invention.
Specific embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.
Referring to Fig. 1, the present invention provide it is a kind of by constraining come the method for scheduling node machine, if Cloud Server is to include The machine pond of dry Node station, includes the following steps.
S1: its first binding occurrence is arranged to each Node station, to user setting second in the management server of Cloud Server Binding occurrence, first binding occurrence be Node station in can occupied maximum resource value, second binding occurrence be maximum fortune Row task quantity.
S2: user submits task to Cloud Server, and management server receives task and distributes task, Node station to Node station It receives the task and estimating and runs the task and need the resource value that occupies, Node station calculates total occupied after running the task Resource value.
S3: if the occupied resource value of Node station always in step S2 is greater than the first binding occurrence, Node station wouldn't be run Distributing in step S2 for task, distributing in step S2 for task wait until the total occupied resource value of Node station about less than first Beam value;If the occupied resource value of Node station always in step S is transferred to step S4 less than the first binding occurrence.Limit Node station Occupied resource value, avoids Node station from overloading, to avoid the system failure or collapse of Cloud Server.
S4: if the task quantity of user's operation is greater than the second binding occurrence, what Node station wouldn't distribute in operating procedure S2 appoints It is engaged in, distributing in step S2 for task waits until the task quantity of user's operation less than the second binding occurrence;If the task of user's operation Quantity is less than the second binding occurrence, the distributing in Node station operating procedure S2 of the task.The operation task quantity for limiting user, avoids list The excessive resource of one user occupancy Cloud Server promotes user experience.
In the present embodiment, the management server uses Python script.
In conclusion the present invention provide it is a kind of by constraining come the method for scheduling node machine, by Node station setting the One binding occurrence, avoids Node station from overloading, to avoid the system failure or collapse of Cloud Server.By giving user setting second about Beam value limits the operation task quantity of user, avoids sole user from occupying the excessive resource of Cloud Server, promotes user experience.
The above is merely preferred embodiments of the present invention, be not intended to restrict the invention, it is all in spirit of the invention and Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within principle.

Claims (2)

1. a kind of by constraining come the method for scheduling node machine, Cloud Server is the machine pond for including several Node stations, It is characterized in that, comprising the following steps:
S1: the management server of Cloud Server is arranged its first binding occurrence to each Node station, constrains user setting second Value, first binding occurrence be Node station in can occupied maximum resource value, second binding occurrence be it is maximum operation appoint Business quantity;
S2: user submits task to Cloud Server, and management server receives task and distributes task to Node station, and Node station receives The task simultaneously estimates the resource value that the task needs of operation occupy, and Node station calculates total occupied resource after running the task Value;
S3: if the occupied resource value of Node station always in step S2 is greater than the first binding occurrence, Node station wouldn't operating procedure Distributing in S2 for task, distributing in step S2 for task wait until the total occupied resource value of Node station less than the first constraint Value;If the occupied resource value of Node station always in step S2 is transferred to step S4 less than the first binding occurrence;
S4: if the task quantity of user's operation is greater than the second binding occurrence, the task that Node station wouldn't distribute in operating procedure S2, step Distributing in rapid S2 for task waits until the task quantity of user's operation less than the second binding occurrence;If the task quantity of user's operation is small Being distributed in the second binding occurrence, Node station operating procedure S2 for task.
2. according to claim 1 a kind of by constraining come the method for scheduling node machine, which is characterized in that the management clothes Device be engaged in using Python script.
CN201810905149.2A 2018-08-09 2018-08-09 A method of by constraining come scheduling node machine Pending CN109271251A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810905149.2A CN109271251A (en) 2018-08-09 2018-08-09 A method of by constraining come scheduling node machine

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810905149.2A CN109271251A (en) 2018-08-09 2018-08-09 A method of by constraining come scheduling node machine

Publications (1)

Publication Number Publication Date
CN109271251A true CN109271251A (en) 2019-01-25

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CN201810905149.2A Pending CN109271251A (en) 2018-08-09 2018-08-09 A method of by constraining come scheduling node machine

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CN (1) CN109271251A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113347111A (en) * 2021-05-12 2021-09-03 金茂数字科技有限公司 Flow adjusting method and management system based on user experience

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Publication number Priority date Publication date Assignee Title
CN1670706A (en) * 2004-03-17 2005-09-21 联想(北京)有限公司 A method for allocating computation nodes in cluster job management system
CN102117225A (en) * 2009-12-31 2011-07-06 上海可鲁系统软件有限公司 Industrial automatic multi-point cluster system and task management method thereof
CN102567106A (en) * 2010-12-30 2012-07-11 中国移动通信集团云南有限公司 Task scheduling method, system and device
CN102917014A (en) * 2012-09-10 2013-02-06 中国联合网络通信集团有限公司 Resource scheduling method and device
CN103729246A (en) * 2013-12-31 2014-04-16 浪潮(北京)电子信息产业有限公司 Method and device for dispatching tasks
CN106557363A (en) * 2016-12-05 2017-04-05 广发证券股份有限公司 A kind of system and method for big data task scheduling
CN106790636A (en) * 2017-01-09 2017-05-31 上海承蓝科技股份有限公司 A kind of equally loaded system and method for cloud computing server cluster
CN107291545A (en) * 2017-08-07 2017-10-24 星环信息科技(上海)有限公司 The method for scheduling task and equipment of multi-user in computing cluster

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1670706A (en) * 2004-03-17 2005-09-21 联想(北京)有限公司 A method for allocating computation nodes in cluster job management system
CN102117225A (en) * 2009-12-31 2011-07-06 上海可鲁系统软件有限公司 Industrial automatic multi-point cluster system and task management method thereof
CN102567106A (en) * 2010-12-30 2012-07-11 中国移动通信集团云南有限公司 Task scheduling method, system and device
CN102917014A (en) * 2012-09-10 2013-02-06 中国联合网络通信集团有限公司 Resource scheduling method and device
CN103729246A (en) * 2013-12-31 2014-04-16 浪潮(北京)电子信息产业有限公司 Method and device for dispatching tasks
CN106557363A (en) * 2016-12-05 2017-04-05 广发证券股份有限公司 A kind of system and method for big data task scheduling
CN106790636A (en) * 2017-01-09 2017-05-31 上海承蓝科技股份有限公司 A kind of equally loaded system and method for cloud computing server cluster
CN107291545A (en) * 2017-08-07 2017-10-24 星环信息科技(上海)有限公司 The method for scheduling task and equipment of multi-user in computing cluster

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113347111A (en) * 2021-05-12 2021-09-03 金茂数字科技有限公司 Flow adjusting method and management system based on user experience

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Application publication date: 20190125

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