Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing
To deal with the problem of resource integration and optimal scheduling in cloud manufacturing, based on the analyzation of the existing literatures, multitask oriented virtual resource integration and optimal scheduling problem is presented from the perspective of global optimization based on the c...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2014/369350 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832561185038270464 |
|---|---|
| author | Zhen Cheng Dechen Zhan Xibin Zhao Hai Wan |
| author_facet | Zhen Cheng Dechen Zhan Xibin Zhao Hai Wan |
| author_sort | Zhen Cheng |
| collection | DOAJ |
| description | To deal with the problem of resource integration and optimal scheduling in cloud manufacturing, based on the analyzation of the existing literatures, multitask oriented virtual resource integration and optimal scheduling problem is presented from the perspective of global optimization based on the consideration of sharing and correlation among virtual resources. The correlation models of virtual resources in a task and among tasks are established. According to the correlation model and characteristics of resource sharing, the formulation in which resource time-sharing scheduling strategy is employed is put forward, and then the formulation is simplified to solve the problem easily. The genetic algorithm based on the real number matrix encoding is proposed. And crossover and mutation operation rules are designed for the real number matrix. Meanwhile, the evaluation function with the punishment mechanism and the selection strategy with pressure factor are adopted so as to approach the optimal solution more quickly. The experimental results show that the proposed model and method are feasible and effective both in situation of enough resources and limited resources in case of a large number of tasks. |
| format | Article |
| id | doaj-art-eb6e89e3d5584d3ea4563905e24f8e66 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-eb6e89e3d5584d3ea4563905e24f8e662025-02-03T01:25:51ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/369350369350Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud ManufacturingZhen Cheng0Dechen Zhan1Xibin Zhao2Hai Wan3School of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Nangang, Harbin 150001, ChinaSchool of Computer Science and Technology, Harbin Institute of Technology, 92 West Dazhi Street, Nangang, Harbin 150001, ChinaSchool of Software, Tsinghua University, NLIST, KLISS, Beijing 100084, ChinaSchool of Software, Tsinghua University, NLIST, KLISS, Beijing 100084, ChinaTo deal with the problem of resource integration and optimal scheduling in cloud manufacturing, based on the analyzation of the existing literatures, multitask oriented virtual resource integration and optimal scheduling problem is presented from the perspective of global optimization based on the consideration of sharing and correlation among virtual resources. The correlation models of virtual resources in a task and among tasks are established. According to the correlation model and characteristics of resource sharing, the formulation in which resource time-sharing scheduling strategy is employed is put forward, and then the formulation is simplified to solve the problem easily. The genetic algorithm based on the real number matrix encoding is proposed. And crossover and mutation operation rules are designed for the real number matrix. Meanwhile, the evaluation function with the punishment mechanism and the selection strategy with pressure factor are adopted so as to approach the optimal solution more quickly. The experimental results show that the proposed model and method are feasible and effective both in situation of enough resources and limited resources in case of a large number of tasks.http://dx.doi.org/10.1155/2014/369350 |
| spellingShingle | Zhen Cheng Dechen Zhan Xibin Zhao Hai Wan Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing Journal of Applied Mathematics |
| title | Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing |
| title_full | Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing |
| title_fullStr | Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing |
| title_full_unstemmed | Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing |
| title_short | Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing |
| title_sort | multitask oriented virtual resource integration and optimal scheduling in cloud manufacturing |
| url | http://dx.doi.org/10.1155/2014/369350 |
| work_keys_str_mv | AT zhencheng multitaskorientedvirtualresourceintegrationandoptimalschedulingincloudmanufacturing AT dechenzhan multitaskorientedvirtualresourceintegrationandoptimalschedulingincloudmanufacturing AT xibinzhao multitaskorientedvirtualresourceintegrationandoptimalschedulingincloudmanufacturing AT haiwan multitaskorientedvirtualresourceintegrationandoptimalschedulingincloudmanufacturing |