An Optimization Algorithm for Multipath Parallel Allocation for Service Resource in the Simulation Task Workflow
Service oriented modeling and simulation are hot issues in the field of modeling and simulation, and there is need to call service resources when simulation task workflow is running. How to optimize the service resource allocation to ensure that the task is complete effectively is an important issue...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/507517 |
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| _version_ | 1832554434494726144 |
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| author | Zhiteng Wang Hongjun Zhang Rui Zhang Yong Li Xuliang Zhang |
| author_facet | Zhiteng Wang Hongjun Zhang Rui Zhang Yong Li Xuliang Zhang |
| author_sort | Zhiteng Wang |
| collection | DOAJ |
| description | Service oriented modeling and simulation are hot issues in the field of modeling and simulation, and there is need to call service resources when simulation task workflow is running. How to optimize the service resource allocation to ensure that the task is complete effectively is an important issue in this area. In military modeling and simulation field, it is important to improve the probability of success and timeliness in simulation task workflow. Therefore, this paper proposes an optimization algorithm for multipath service resource parallel allocation, in which multipath service resource parallel allocation model is built and multiple chains coding scheme quantum optimization algorithm is used for optimization and solution. The multiple chains coding scheme quantum optimization algorithm is to extend parallel search space to improve search efficiency. Through the simulation experiment, this paper investigates the effect for the probability of success in simulation task workflow from different optimization algorithm, service allocation strategy, and path number, and the simulation result shows that the optimization algorithm for multipath service resource parallel allocation is an effective method to improve the probability of success and timeliness in simulation task workflow. |
| format | Article |
| id | doaj-art-866fe313e21648ebb7506253b80b570f |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-866fe313e21648ebb7506253b80b570f2025-02-03T05:51:31ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/507517507517An Optimization Algorithm for Multipath Parallel Allocation for Service Resource in the Simulation Task WorkflowZhiteng Wang0Hongjun Zhang1Rui Zhang2Yong Li3Xuliang Zhang4PLA University of Science & Technology, Nanjing 210007, ChinaPLA University of Science & Technology, Nanjing 210007, ChinaPLA University of Science & Technology, Nanjing 210007, ChinaNanjing Artillery Academy, Nanjing 210110, ChinaPLA University of Science & Technology, Nanjing 210007, ChinaService oriented modeling and simulation are hot issues in the field of modeling and simulation, and there is need to call service resources when simulation task workflow is running. How to optimize the service resource allocation to ensure that the task is complete effectively is an important issue in this area. In military modeling and simulation field, it is important to improve the probability of success and timeliness in simulation task workflow. Therefore, this paper proposes an optimization algorithm for multipath service resource parallel allocation, in which multipath service resource parallel allocation model is built and multiple chains coding scheme quantum optimization algorithm is used for optimization and solution. The multiple chains coding scheme quantum optimization algorithm is to extend parallel search space to improve search efficiency. Through the simulation experiment, this paper investigates the effect for the probability of success in simulation task workflow from different optimization algorithm, service allocation strategy, and path number, and the simulation result shows that the optimization algorithm for multipath service resource parallel allocation is an effective method to improve the probability of success and timeliness in simulation task workflow.http://dx.doi.org/10.1155/2014/507517 |
| spellingShingle | Zhiteng Wang Hongjun Zhang Rui Zhang Yong Li Xuliang Zhang An Optimization Algorithm for Multipath Parallel Allocation for Service Resource in the Simulation Task Workflow The Scientific World Journal |
| title | An Optimization Algorithm for Multipath Parallel Allocation for Service Resource in the Simulation Task Workflow |
| title_full | An Optimization Algorithm for Multipath Parallel Allocation for Service Resource in the Simulation Task Workflow |
| title_fullStr | An Optimization Algorithm for Multipath Parallel Allocation for Service Resource in the Simulation Task Workflow |
| title_full_unstemmed | An Optimization Algorithm for Multipath Parallel Allocation for Service Resource in the Simulation Task Workflow |
| title_short | An Optimization Algorithm for Multipath Parallel Allocation for Service Resource in the Simulation Task Workflow |
| title_sort | optimization algorithm for multipath parallel allocation for service resource in the simulation task workflow |
| url | http://dx.doi.org/10.1155/2014/507517 |
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