CN101739292B - Based on isomeric group operation self-adapting dispatching method and the system of application characteristic - Google Patents
Based on isomeric group operation self-adapting dispatching method and the system of application characteristic Download PDFInfo
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Abstract
The invention provides a kind of isomeric group operation self-adapting dispatching method based on application characteristic and system.Wherein, dispatching method comprises the following steps: operation dispatching server is collected the hardware information of each node of isomeric group and each node is divided into the node group with different characteristic according to the hardware information of each node; The operation characteristic of the operation when submit whether is stored in job scheduling middleware Query Database; If had, the Hand up homework when submit goes to run to the node group of individual features according to operation characteristic by operation dispatching server; If do not had, Hand up homework when submit goes to run to arbitrary node group by operation dispatching server, job scheduling middleware record is worked as the service data of the operation of submit and according to Operational Data Analysis operation characteristic, the application type of the operation when submit and operation characteristic is stored in database.Method and system of the present invention can improve the efficiency of high performance software, improves the service efficiency of isomeric group.
Description
Technical field
The present invention relates to computer technology high-performance field, particularly relate to a kind of self-adapting dispatching method and system of the isomeric group operation based on application characteristic.
Background technology
Cluster is the abbreviation of computer cluster, and it to be got up highly closely to have cooperated evaluation work by one group of loose integrated computer software and/or signal wiring.Single computing machine in cluster is commonly referred to node.Cluster is commonly used to computing velocity and/or the reliability of improving single computing machine.
The operation characteristic of high-performance field business software varies, different to the resource requirement of cluster, has plenty of computation-intensive, needs very high CPU processing speed, has plenty of I/O intensity, needs very high hard disk I/O speed and rate of skipping.And no matter traditional cluster job scheduling method is prerequisite variable (namely which operation arrives first and just first runs which operation), or priority (i.e. which operation the priority higher position of which operation runs), or backfill, does not all take into full account the operation characteristic of high performance software self and the physical resource of isomeric group.That is, traditional cluster job scheduling method choice use what node to remove running job and high performance software it doesn't matter, the efficiency of high performance software can be caused like this to reduce, cause the service efficiency of isomeric group to reduce.And the core index of efficiency high performance software exactly.Equally, service efficiency is also the important indicator of isomeric group.
Summary of the invention
The feature of high performance software operation characteristic and isomeric group of not considering existed for cluster job scheduling method in prior art causes the problem that the efficiency of high performance software reduces, isomeric group service efficiency reduces, the object of the present invention is to provide a kind of group operation self-adapting dispatching method based on application characteristic and system, with in solving the problem one of at least.
For achieving the above object, according to an aspect of the present invention, provide a kind of isomeric group operation self-adapting dispatching method based on application characteristic, comprise the following steps: operation dispatching server collects the hardware information of each node of isomeric group, and each node is divided into the node group with different characteristic according to the hardware information of each node; The operation characteristic of the operation when submit whether is stored in job scheduling middleware Query Database; If had, the Hand up homework when submit goes to run to the node group of individual features according to operation characteristic by operation dispatching server; If do not had, Hand up homework when submit goes to run to arbitrary node group by operation dispatching server, the service data of the operation of submit worked as in job scheduling middleware record and according to Operational Data Analysis operation characteristic, the application type of the operation when submit and operation characteristic are stored in database by job scheduling middleware.
According to the present invention, after the Hand up homework when submit goes to run to the node group of individual features according to operation characteristic by operation dispatching server, job scheduling middleware record when the operation of submit service data and service data is reanalysed operation characteristic with after the history data of the operation of submit is cumulative, the operation characteristic of working as the operation of submit then more stored in new database.
According to the present invention, service data comprises internal memory use amount, process number, the nodes of use, each node memory of use, memory usage threshold value, one process EMS memory occupation amount threshold value, working time and CPU holding time.
According to the present invention, operation characteristic comprises memory-intensive and CPU is intensive.
According to the present invention, memory-intensive refers to that the ratio of each node memory sum of internal memory use amount and use is greater than 90% and the ratio of internal memory use amount and process number is greater than 1G; CPU intensity refers to that the ratio of CPU holding time and working time is greater than 90%.
According to the present invention, the node group with different characteristic comprises the large node group of internal memory and the many node group of CPU; If when the operation characteristic of the operation of submit is memory-intensive, the Hand up homework when submit just goes to run to the node group that internal memory is large by operation dispatching server; If when the operation characteristic of the operation of submit is that CPU is intensive, the Hand up homework when submit just goes to run to the node group that CPU is many by operation dispatching server.
Correspondingly, the invention provides a kind of isomeric group operation self-adapting dispatching system based on application characteristic, comprise: grouping module, for collecting the hardware information of each node of isomeric group, and carry out each node to be divided into the node group with different characteristic according to the hardware information of each node; Whether enquiry module, for storing the operation characteristic of the operation when submit in Query Database; Submit module to, for being gone to run on the node group of individual features by the Hand up homework when submit according to operation characteristic; Logging modle, for recording the service data of the operation when submit; Analysis module, draws operation characteristic for analyzing service data, and more in new database when the operation characteristic of the operation of submit.
According to the present invention, service data comprises internal memory use amount, process number, the nodes of use, each node memory of use, memory usage threshold value, one process EMS memory occupation amount threshold value, working time and CPU holding time.
According to the present invention, operation characteristic comprises memory-intensive and CPU is intensive, memory-intensive refers to that the ratio of each node memory sum of internal memory use amount and use is greater than 90% and the ratio of internal memory use amount and process number is greater than 1G, and CPU intensity refers to that the ratio of CPU holding time and working time is greater than 90%.
According to the present invention, analysis module is that the service data of the operation when submit is reanalysed operation characteristic with after the history data of the operation of submit is cumulative.
By the present invention's at least one technical scheme above-mentioned, by each node of isomeric group to be divided into the node group with different characteristic according to hardware information, the Hand up homework when submit goes to run to the node group of individual features according to the operation characteristic of the operation when submit by dispatch server.Take into full account the feature of operation and isomeric group self like this, run by the node group of applicable this operation of operation, improve the efficiency of job run on the one hand, for the high performance software comprising many operations, improve the efficiency of high performance software, also improve the service efficiency of isomeric group simultaneously.And each run data of job scheduling middleware record operation, and after this operation each run is complete, the service data of this operation and the history data of this operation are added up, reanalyse the operation characteristic of this operation, thus constantly correct, improve the accuracy of operation and operation node group coupling.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the isomeric group operation self-adapting dispatching method based on application characteristic of the present invention;
Fig. 2 is the topological structure schematic diagram of the isomeric group applying method of the present invention;
Fig. 3 is the structural representation of the isomeric group operation self-adapting dispatching system based on application characteristic of the present invention.
Embodiment
As shown in Figure 1, isomeric group operation self-adapting dispatching method based on application characteristic of the present invention comprises the following steps: S110, operation dispatching server collects the hardware information of each node of isomeric group, and each node is divided into the node group with different characteristic according to the hardware information of each node; Whether S120, store the operation characteristic of the operation when submit in job scheduling middleware Query Database; S130, if had, the Hand up homework when submit goes to run to the node group of individual features according to operation characteristic by operation dispatching server; If do not had, Hand up homework when submit goes to run to arbitrary node group by operation dispatching server, job scheduling middleware record is worked as the service data of the operation of submit and according to Operational Data Analysis operation characteristic, the application type of the operation when submit and operation characteristic is stored in database.
In step s 110, the hardware information of each node of the isomeric group of collection at least comprises the information of the information (dominant frequency, model as CPU) of the CPU of each node and the internal memory of each node.Each node divides into groups according to the hardware information of each node by operation dispatching server, the node that hardware information is identical or feature is identical is classified as one group, such as nodes many for CPU is divided into one group, node large for internal memory is divided into one group, thus each node of isomeric group is divided into the node group with different hardware feature.
In the step s 120, the inquiry of job scheduling middleware is specifically designed to the database of storage operation application type and operation characteristic, see the application type and operation characteristic that whether store when the operation of submit, generally, the job run feature that application type is identical is also identical.
In step s 130, which, if store the operation characteristic of the operation when submit in database, job scheduling middleware is by this operation characteristic notice operation dispatching server, and the Hand up homework when submit goes to run to the node group of individual features according to this operation characteristic by operation dispatching server; If there is no the operation characteristic of the operation stored when submit in database, Hand up homework when submit goes to run to node group by operation dispatching server by the scheduling strategy according to acquiescence, job scheduling middleware record is worked as the service data of the operation of submit and according to Operational Data Analysis operation characteristic, then the application type of the operation when submit and operation characteristic is stored in database.Wherein, service data comprises internal memory use amount, process number, the nodes of use, each node memory of use, memory usage threshold value, one process EMS memory occupation amount threshold value, working time and CPU holding time.Every subjob is after having run, and job scheduling middleware all can record service data.Job scheduling middleware by the service data of the operation when submit and the operation characteristic reanalysing the operation when submit after the history data of the operation of submit adds up, the operation characteristic of this operation then more stored in new database.That is, this operation often runs once, job scheduling middleware record service data, and this service data and this operation all previous service data is in the past added up, and then reanalyses the operation characteristic of this operation.Can prevent the deviation that the operation characteristic only drawn according to service data may occur like this, this is a process constantly corrected.After this operation repeatedly runs, the analysis of job scheduling middleware to the operation characteristic of this operation will be more accurate.Operation characteristic comprises memory-intensive and CPU is intensive.Wherein, memory-intensive refers to that the ratio of each node memory sum of internal memory use amount and use is greater than 90% and the ratio of internal memory use amount and process number is greater than 1G; CPU intensity refers to that the ratio of CPU holding time and working time is greater than 90%.Internal memory use amount refers to the internal memory sum that all processes of the type operation are used.
Having multiple operation in high performance software operational process to need to be submitted to node and to get on operation, running the operational efficiency that can improve high performance software by selecting the node group of most suitable operation.In actual applications, high performance software also can pass through web interface (socket) and is submitted to server end.As shown in Figure 2, isomeric group comprises server end and node group, the management node of isomeric group is as the operation dispatching server of isomeric group, also be the server end shown in Fig. 2, server end runs a web server, client can be connected to web server by web browser, carry out alternately with web server, the each node group be connected with server end has certain feature, run high performance software on the client, the operation that client produces is dispatched by server end, server end is according to the feature of operation, the node group submitting the job to individual features goes to run.
Correspondingly, the invention provides a kind of isomeric group operation self-adapting dispatching system based on application characteristic.As shown in Figure 3, the isomeric group operation self-adapting dispatching system based on application characteristic of the present embodiment, comprise: grouping module 210, for collecting the hardware information of each node of isomeric group, and carry out each node to be divided into the node group with different characteristic according to the hardware information of each node; Whether enquiry module 220, for storing the operation characteristic of the operation when submit in Query Database; Submit module 230 to, for being gone to run on the node group of individual features by the Hand up homework when submit according to operation characteristic; Logging modle 240, for recording the service data of the operation when submit; Analysis module 250, draws operation characteristic for analyzing service data, and more in new database when the operation characteristic of the operation of submit.
Grouping module 210, first collects the hardware information of each node of isomeric group, comprises the information of the information (dominant frequency, model as CPU) of the CPU of each node and the internal memory of each node; Then according to the hardware information of each node, each node is divided into groups, the node that hardware information is identical or feature is identical is classified as one group, such as nodes many for CPU is divided into one group, node large for internal memory is divided into one group, thus makes each node of isomeric group form the node group with different characteristic.
Enquiry module 220, inquiry is specifically designed to the database of storage operation application type and operation characteristic, sees the application type and operation characteristic that whether store when the operation of submit.
Submit module 230 to, the Hand up homework when submit goes to run by the operation characteristic for the operation when submit inquired according to enquiry module on the node group of individual features,
Logging modle 240, records the service data of every subjob, if therefore when the operation of submit submits operation to again follow-up, logging modle 240 can record the service data of twice of this operation.
Analysis module 250, for the service data that analytic record module 240 records, each Hand up homework runs complete, after logging modle 240 records service data, analysis module 250 all can carry out the operation characteristic analyzing this operation, when analysis, for submitting the operation run repeatedly to, analysis module 250 analyzes after cumulative to up-to-date service data and the service data all previous before of this operation, and the operation characteristic of this operation finally latest analysis drawn replaces the operation characteristic that in database, this operation stored originally.Like this, the operation characteristic of this operation stored in database is dynamic change, and result is tending towards more accurately.Therefore, even if not when the operation characteristic of the operation of submit in enquiry module 220 Query Database, certain node group that this operation submitted module 230 acquiescence is submitted to isomeric group gets on operation, after logging modle 240 records the service data of this operation, analysis module 250 just can analyze the operation characteristic drawing this operation, and the application type of this operation and operation characteristic are stored in database, when the operation of submit again needs to submit to after current operation, enquiry module 220 just can inquire the operation characteristic of this operation, if this operation repeatedly submits operation to, logging modle 240 records repeatedly service data, analysis module 250 analyzes the operation characteristic drawn accordingly will be tending towards accurate.
Wherein, the service data that logging modle 240 records comprises internal memory use amount, process number, the nodes of use, each node memory of use, memory usage threshold value, one process EMS memory occupation amount threshold value, working time and CPU holding time.The operation characteristic stored in database comprises memory-intensive and CPU is intensive.Memory-intensive refers to that the ratio of each node memory sum of internal memory use amount and use is greater than 90% and the ratio of internal memory use amount and process number is greater than 1G; CPU intensity refers to that the ratio of CPU holding time and working time is greater than 90%.Internal memory use amount refers to the internal memory sum that all processes of the type operation are used.
By the present invention's at least one technical scheme above-mentioned, by each node of isomeric group to be divided into the node group with different characteristic according to hardware information, the Hand up homework when submit goes to run to the node group of individual features according to the operation characteristic of the operation when submit by dispatch server.Take into full account the feature of operation and isomeric group self like this, run by the node group of applicable this operation of operation, improve the efficiency of job run on the one hand, for the high performance software comprising many operations, improve the efficiency of high performance software, also improve the service efficiency of isomeric group simultaneously.And each run data of job scheduling middleware record operation, and after this operation each run is complete, the service data of this operation and the history data of this operation are added up, reanalyse the operation characteristic of this operation, thus constantly correct, improve the accuracy of operation and operation node group coupling.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1. based on an isomeric group operation self-adapting dispatching method for application characteristic, it is characterized in that, comprise the following steps:
Operation dispatching server collects the hardware information of each node of isomeric group, and each node described is divided into the node group with different characteristic according to the hardware information of each node described;
The operation characteristic of the operation when submit whether is stored in job scheduling middleware Query Database;
If had, the described Hand up homework when submit goes to run to the described node group of individual features according to described operation characteristic by described operation dispatching server; If do not had, the described Hand up homework when submit goes to run to arbitrary node group by described operation dispatching server, described in described job scheduling middleware record when the service data of the operation of submit and according to described Operational Data Analysis operation characteristic, the application type of the described operation when submit and described operation characteristic are stored in described database by described job scheduling middleware;
And, after the described Hand up homework when submit goes to run to the described node group of individual features according to described operation characteristic by described operation dispatching server, described in described job scheduling middleware record when the service data of the operation of submit and the history data of described service data and the described operation when submit is cumulative after reanalyse described operation characteristic, then upgrade the described operation characteristic of the described operation when submit stored in described database.
2. dispatching method according to claim 1, it is characterized in that, described service data comprises internal memory use amount, process number, the nodes of use, each node memory of use, memory usage threshold value, one process EMS memory occupation amount threshold value, working time and CPU holding time.
3. dispatching method according to claim 2, is characterized in that, described operation characteristic comprises memory-intensive and CPU is intensive.
4. dispatching method according to claim 3, is characterized in that, described memory-intensive refers to that the ratio of each node memory sum of described internal memory use amount and described use is greater than 90% and the ratio of described internal memory use amount and described process number is greater than 1G; Described CPU intensity refers to that described CPU holding time and the ratio of described working time are greater than 90%.
5. the dispatching method according to claim 3 or 4, is characterized in that, described in there is different characteristic node group comprise the large node group of internal memory and the many node group of CPU; If the described operation characteristic of the described operation when submit is described memory-intensive, the described Hand up homework when submit just goes to run to the node group that described internal memory is large by described operation dispatching server; If it is intensive that the described operation characteristic of the described operation when submit is described CPU, the described Hand up homework when submit just goes to run to the node group that described CPU is many by described operation dispatching server.
6., based on an isomeric group operation self-adapting dispatching system for application characteristic, it is characterized in that, comprising:
Grouping module, for collecting the hardware information of each node of isomeric group, and carries out being divided into the node group with different characteristic according to the hardware information of each node described by each node described;
Whether enquiry module, for storing the operation characteristic of the operation when submit in Query Database;
Submit module to, for being gone to run on the described node group of individual features by the described Hand up homework when submit according to described operation characteristic;
Logging modle, for recording the service data of the described operation when submit;
Analysis module, draws described operation characteristic for analyzing described service data, and upgrades the described operation characteristic when the operation of submit described in described database,
Wherein, if described enquiry module does not inquire the operation characteristic storing the operation when submit in described database, then described submission module according to the scheduling strategy dispatching distribution of acquiescence when the operation of submit;
Further, described analysis module be the history data of the described service data of the described operation when submit and the described operation when submit is cumulative after reanalyse described operation characteristic.
7. dispatching system according to claim 6, it is characterized in that, described service data comprises internal memory use amount, process number, the nodes of use, each node memory of use, memory usage threshold value, one process EMS memory occupation amount threshold value, working time and CPU holding time.
8. dispatching system according to claim 7, it is characterized in that, described operation characteristic comprises memory-intensive and CPU is intensive, described memory-intensive refers to that the ratio of each node memory sum of described internal memory use amount and described use is greater than 90% and the ratio of described internal memory use amount and described process number is greater than 1G, and described CPU intensity refers to that described CPU holding time and the ratio of described working time are greater than 90%.
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Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102147750A (en) * | 2011-01-27 | 2011-08-10 | 中国农业银行股份有限公司 | Method and system for processing operation |
| CN102521029A (en) * | 2011-12-02 | 2012-06-27 | 曙光信息产业(北京)有限公司 | Job scheduling method based on exclusive memory |
| CN102495759A (en) * | 2011-12-08 | 2012-06-13 | 曙光信息产业(北京)有限公司 | Method for scheduling job in cloud computing environment |
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| CN104239148B (en) * | 2013-06-06 | 2018-05-18 | 腾讯科技（深圳）有限公司 | A kind of distributed task dispatching method and device |
| CN103645954B (en) * | 2013-11-21 | 2018-12-14 | 华为技术有限公司 | A kind of CPU dispatching method based on heterogeneous multi-core system, device and system |
| WO2015089780A1 (en) * | 2013-12-19 | 2015-06-25 | 华为技术有限公司 | Method and device for scheduling application process |
| CN104657221B (en) * | 2015-03-12 | 2019-03-22 | 广东石油化工学院 | The more queue flood peak staggered regulation models and method of task based access control classification in a kind of cloud computing |
| CN106713396B (en) * | 2015-11-17 | 2021-07-16 | 阿里巴巴集团控股有限公司 | Server scheduling method and system |
| CN105808331A (en) * | 2016-02-29 | 2016-07-27 | 湖南蚁坊软件有限公司 | Server characteristic-based scheduling method |
| WO2018076238A1 (en) * | 2016-10-27 | 2018-05-03 | 华为技术有限公司 | Heterogeneous system, computation task assignment method and device |
| CN109145053B (en) | 2018-08-01 | 2021-03-23 | 创新先进技术有限公司 | Data processing method and device, client and server |
| CN109558245A (en) * | 2018-12-03 | 2019-04-02 | 群蜂信息技术(上海)有限公司 | A kind of method for processing business based on microserver framework, device and server |
| CN111190713A (en) * | 2019-12-26 | 2020-05-22 | 曙光信息产业(北京)有限公司 | Job scheduling management method and device |
| CN111158909B (en) * | 2019-12-27 | 2023-07-25 | 中国联合网络通信集团有限公司 | Cluster resource allocation processing method, device, equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1091295A2 (en) * | 1999-09-30 | 2001-04-11 | Kabushiki Kaisha Toshiba | Data management system using a plurality of data operation modules |
| CN101539872A (en) * | 2009-04-23 | 2009-09-23 | 深圳先进技术研究院 | Self-adapting dispatching system and method of super computer |
-
2009
- 2009-12-04 CN CN200910242094.2A patent/CN101739292B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1091295A2 (en) * | 1999-09-30 | 2001-04-11 | Kabushiki Kaisha Toshiba | Data management system using a plurality of data operation modules |
| CN101539872A (en) * | 2009-04-23 | 2009-09-23 | 深圳先进技术研究院 | Self-adapting dispatching system and method of super computer |
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