CN103685540A - Task decomposition and composition method based on cloud computing - Google Patents

Task decomposition and composition method based on cloud computing Download PDF

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Publication number
CN103685540A
CN103685540A CN201310716828.2A CN201310716828A CN103685540A CN 103685540 A CN103685540 A CN 103685540A CN 201310716828 A CN201310716828 A CN 201310716828A CN 103685540 A CN103685540 A CN 103685540A
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subtask
cloud computing
platform
task
resource
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CN201310716828.2A
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朱一群
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Shanghai Dianji University
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Shanghai Dianji University
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Abstract

The invention provides a task decomposition and composition method based on cloud computing. The method includes the steps: dividing a whole task into a plurality of subtasks, and issuing the subtasks to a cloud computing platform based on a network; distributing corresponding resources by the cloud computing platform according to the received subtasks, and providing a sub-resource platform for each subtask; relatively processing the corresponding subtasks based on the sub-resource platforms to obtain computing results of the subtasks; uploading the processing results of the subtasks based on the sub-resource platforms to a total resource platform based on the cloud computing platform, and compositing the processing results of the subtasks by the total resource platform to obtain a processing result of the whole task.

Description

Task-decomposing complex method based on cloud computing
Technical field
The present invention relates to computer technology and network communication field, more particularly, the present invention relates to a kind of Task-decomposing complex method based on cloud computing.
Background technology
Computing capability cloud computing (CloudComputing), it is a kind of account form based on the Internet, in this way, shared software and hardware resources and information can offer computer and other equipment by demand, be mainly increase, use and the delivery mode of the related service based on the Internet, being usually directed to is provided dynamically easily expansion and is often virtualized resource by the Internet.
But the cloud computing of prior art is mainly that whole task is processed, task not to be decomposed, the resource needing is like this lot, and treatment effeciency is relatively low, realizes complexity, needs the integration of huge whole resource to carry out specific implementation.Immediately under the resource platform of cloud computing now, need to carry out the integration scheduling of whole resource and use, and carry out computing, the speed of processing or slow.
Summary of the invention
Technical problem to be solved by this invention is for there being above-mentioned defect in prior art, and a kind of method that can improve cloud computing efficiency is provided.
In order to realize above-mentioned technical purpose, according to the present invention, provide a kind of Task-decomposing complex method based on cloud computing, it comprises:
First step: whole task is carried out to subtask division, be divided into a plurality of subtasks, by each subtask cloud computing platform that is issued to Network Based;
Second step: cloud computing platform, according to described a plurality of subtasks of receiving, carries out corresponding resource distribution, thus a sub-resource platform provided for each subtask; Based on each child resource platform, relevant treatment is carried out to obtain a plurality of subtasks operation result in each corresponding subtask subsequently;
Third step: based on cloud computing platform, the subtask result based on each child resource platform is uploaded to total resources platform, and total resources platform carries out each subtask result compound, obtain the result of whole task.
Preferably, in first step, using whole task as a general assignment, according to predetermined division principle, be divided into separate a plurality of subtasks, and send each subtask to cloud computing platform.
Preferably, in second step, cloud computing platform receives each subtask after general assignment decomposes, the resource needing according to each subtask is distributed corresponding resource platform, and based on the corresponding resource platform in each subtask, carry out subtask processing, thereby obtain the result of subtask.
Preferably, in third step, total resources platform is according to each subtask result, and the predetermined compound principle based on corresponding with described predetermined division principle is carried out result compound of subtask, obtains the result of general assignment.
Preferably, resource comprises network, server, storage, application software and service.
Task-decomposing complex method based on cloud computing of the present invention is very simple and clear, is easy to realize, and concurrency is good, and efficiency is high, has very high cost performance.
Accompanying drawing explanation
By reference to the accompanying drawings, and by reference to detailed description below, will more easily to the present invention, there is more complete understanding and more easily understand its advantage of following and feature, wherein:
Fig. 1 schematically shows the flow chart of the Task-decomposing complex method based on cloud computing according to the preferred embodiment of the invention.
Fig. 2 schematically shows the schematic diagram of the Task-decomposing complex method based on cloud computing according to the preferred embodiment of the invention.
It should be noted that, accompanying drawing is used for illustrating the present invention, and unrestricted the present invention.Note, the accompanying drawing that represents structure may not be to draw in proportion.And in accompanying drawing, identical or similar element indicates identical or similar label.
Embodiment
In order to make content of the present invention more clear and understandable, below in conjunction with specific embodiments and the drawings, content of the present invention is described in detail.
Prior art is mainly that whole task is processed, and task is not decomposed, and the resource needing is like this lot, and treatment effeciency is relatively low, realizes complexity, needs the integration of huge whole resource to carry out specific implementation.For this problem, the present invention is based on the related resource (as: network in cloud computing, server, storage, application software, service), inter-related task is decomposed into each subtask, and subtask is carried out in the resource environment of zones of different to relevant treatment, and each result is carried out compound, complete the processing of whole task.Task-decomposing complex method based on cloud computing of the present invention is very simple and clear, is easy to realize, and concurrency is good, and efficiency is high, has very high cost performance.
To specifically describe the preferred embodiments of the present invention below.
Fig. 1 schematically shows the flow chart of the Task-decomposing complex method based on cloud computing according to the preferred embodiment of the invention.
Specifically, as shown in Figure 1, the Task-decomposing complex method based on cloud computing comprises according to the preferred embodiment of the invention:
First step S1: whole task is carried out to subtask division, be divided into a plurality of subtasks, by each subtask cloud computing platform that is issued to Network Based.
Specifically, in first step S1, can, using whole task as a general assignment, according to predetermined division principle, be divided into separate a plurality of subtasks, and send each subtask to cloud computing platform.
For example, as shown in Figure 2, general assignment is divided into: subtask 1, subtask 2 ..., subtask n.
Second step S2: cloud computing platform, according to described a plurality of subtasks of receiving, carries out corresponding resource distribution, thus a sub-resource platform provided for each subtask; Based on each child resource platform, relevant treatment is carried out to obtain a plurality of subtasks operation result in each corresponding subtask subsequently.
Specifically, in second step S2, cloud computing platform receives each subtask after general assignment decomposes, the resource needing according to each subtask is distributed corresponding resource platform, and based on the corresponding resource platform in each subtask, carry out subtask processing, thereby obtain the result of subtask.
For example, as shown in Figure 2, resource 1, resource 2 ..., resource n distributed to respectively subtask 1, subtask 2 ..., subtask n.And, utilize respectively resource 1, resource 2 ..., resource n to subtask 1, subtask 2 ..., subtask n processes, with obtain subtask 1 result, subtask 2 results ..., subtask n result.
Third step S3: based on cloud computing platform, the subtask result based on each child resource platform is uploaded to total resources platform, and total resources platform carries out each subtask result compound, obtain the result of whole task.
Specifically, in third step S3, total resources platform is according to the corresponding result of each subtask, the predetermined compound principle based on corresponding with described predetermined division principle, carry out result compound of subtask, obtain the result of the general assignment finally needing.
For example, as shown in Figure 2, subtask 1 result, subtask 2 results ..., subtask n result is combined into general assignment result.
Therefore, in prior art, normally whole general assignment is processed, needed the ample resources in conjunction with cloud computing now; Each subtask that the method that the present invention proposes concurrent processing is simultaneously decomposed, has improved treatment effeciency, and the subtask resource processing platform needing need not be too huge, is easy to realize.The present invention has adopted the method that general assignment is decomposed, and can make full use of each resource in cloud computing, is easy to realize, and this method has general adaptability, can apply to field widely. and implementation efficiency is high.
In addition, it should be noted that, unless stated otherwise or point out, otherwise the descriptions such as the term in specification " first ", " second ", " the 3rd " are only for distinguishing each assembly, element, step of specification etc., rather than for representing logical relation between each assembly, element, step or ordinal relation etc.
Be understandable that, although the present invention with preferred embodiment disclosure as above, yet above-described embodiment is not in order to limit the present invention.For any those of ordinary skill in the art, do not departing from technical solution of the present invention scope situation, all can utilize the technology contents of above-mentioned announcement to make many possible changes and modification to technical solution of the present invention, or be revised as the equivalent embodiment of equivalent variations.Therefore, every content that does not depart from technical solution of the present invention,, all still belongs in the scope of technical solution of the present invention protection any simple modification made for any of the above embodiments, equivalent variations and modification according to technical spirit of the present invention.

Claims (5)

1. the Task-decomposing complex method based on cloud computing, is characterized in that comprising:
First step: whole task is carried out to subtask division, be divided into a plurality of subtasks, by each subtask cloud computing platform that is issued to Network Based;
Second step: cloud computing platform, according to described a plurality of subtasks of receiving, carries out corresponding resource distribution, thus a sub-resource platform provided for each subtask; Based on each child resource platform, relevant treatment is carried out to obtain a plurality of subtasks operation result in each corresponding subtask subsequently;
Third step: based on cloud computing platform, the subtask result based on each child resource platform is uploaded to total resources platform, and total resources platform carries out each subtask result compound, obtain the result of whole task.
2. the Task-decomposing complex method based on cloud computing according to claim 1, is characterized in that, in first step, using whole task as a general assignment, according to predetermined division principle, be divided into separate a plurality of subtasks, and send each subtask to cloud computing platform.
3. the Task-decomposing complex method based on cloud computing according to claim 1 and 2, it is characterized in that, in second step, cloud computing platform receives each subtask after general assignment decomposes, the resource needing according to each subtask is distributed corresponding resource platform, and based on the corresponding resource platform in each subtask, carry out subtask processing, thereby obtain the result of subtask.
4. the Task-decomposing complex method based on cloud computing according to claim 2, it is characterized in that, in third step, total resources platform is according to each subtask result, predetermined compound principle based on corresponding with described predetermined division principle, carry out result compound of subtask, obtain the result of general assignment.
5. the Task-decomposing complex method based on cloud computing according to claim 1 and 2, is characterized in that, resource comprises network, server, storage, application software and service.
CN201310716828.2A 2013-12-20 2013-12-20 Task decomposition and composition method based on cloud computing Pending CN103685540A (en)

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106603708A (en) * 2016-12-30 2017-04-26 中国建设银行股份有限公司 Business processing method and device
CN106815061A (en) * 2015-12-01 2017-06-09 阿里巴巴集团控股有限公司 A kind of method for processing business and device
CN107203492A (en) * 2017-05-31 2017-09-26 西北工业大学 Product design cloud service platform modularization task replanning and distribution optimization method
CN108200175A (en) * 2018-01-04 2018-06-22 浙江大学 More unmanned boat formation cooperative control systems and method based on collaboration cloud control
CN108737560A (en) * 2018-05-31 2018-11-02 南京邮电大学 Cloud computing task intelligent dispatching method and system, readable storage medium storing program for executing, terminal
CN109298940A (en) * 2018-09-28 2019-02-01 考拉征信服务有限公司 Calculation task allocating method, device, electronic equipment and computer storage medium
CN110673950A (en) * 2019-08-23 2020-01-10 广东大杉网络科技有限公司 Cloud computing task allocation method, device, equipment and storage medium
WO2021137046A1 (en) * 2020-01-02 2021-07-08 International Business Machines Corporation Implementing workloads in a multi-cloud environment

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106815061B (en) * 2015-12-01 2020-11-24 创新先进技术有限公司 Service processing method and device
CN106815061A (en) * 2015-12-01 2017-06-09 阿里巴巴集团控股有限公司 A kind of method for processing business and device
CN106603708B (en) * 2016-12-30 2019-10-18 中国建设银行股份有限公司 A kind of method for processing business and device
CN106603708A (en) * 2016-12-30 2017-04-26 中国建设银行股份有限公司 Business processing method and device
CN107203492A (en) * 2017-05-31 2017-09-26 西北工业大学 Product design cloud service platform modularization task replanning and distribution optimization method
CN107203492B (en) * 2017-05-31 2020-09-08 西北工业大学 Product design cloud service platform modularized task recombination and distribution optimization method
CN108200175A (en) * 2018-01-04 2018-06-22 浙江大学 More unmanned boat formation cooperative control systems and method based on collaboration cloud control
CN108200175B (en) * 2018-01-04 2020-07-17 浙江大学 Multi-unmanned ship formation cooperative control system and method based on cooperative cloud control
CN108737560A (en) * 2018-05-31 2018-11-02 南京邮电大学 Cloud computing task intelligent dispatching method and system, readable storage medium storing program for executing, terminal
CN109298940A (en) * 2018-09-28 2019-02-01 考拉征信服务有限公司 Calculation task allocating method, device, electronic equipment and computer storage medium
CN109298940B (en) * 2018-09-28 2019-12-31 考拉征信服务有限公司 Computing task allocation method and device, electronic equipment and computer storage medium
CN110673950A (en) * 2019-08-23 2020-01-10 广东大杉网络科技有限公司 Cloud computing task allocation method, device, equipment and storage medium
WO2021137046A1 (en) * 2020-01-02 2021-07-08 International Business Machines Corporation Implementing workloads in a multi-cloud environment
GB2607224A (en) * 2020-01-02 2022-11-30 Ibm Implementing workloads in a multi-cloud environment
AU2020418595B2 (en) * 2020-01-02 2024-01-25 International Business Machines Corporation Implementing workloads in a multi-cloud environment
US11995479B2 (en) 2020-01-02 2024-05-28 International Business Machines Corporation Implementing workloads in a multi-cloud environment with data migration between cloud vendors

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