Energy-aware service composition in multi-Cloud
Service composition is widely used in multiple scenarios to meet users’ various demands. In a multi-Cloud environment (MCE), a composite request (service request) needs atomic services (service candidates) located in multiple clouds with various functions. Service composition composes atomic service...
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| Format: | Article |
| Language: | English |
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Springer
2022-07-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157822001422 |
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| author | Jianmin Li Ying Zhong Shunzhi Zhu Yongsheng Hao |
| author_facet | Jianmin Li Ying Zhong Shunzhi Zhu Yongsheng Hao |
| author_sort | Jianmin Li |
| collection | DOAJ |
| description | Service composition is widely used in multiple scenarios to meet users’ various demands. In a multi-Cloud environment (MCE), a composite request (service request) needs atomic services (service candidates) located in multiple clouds with various functions. Service composition composes atomic services from multiple clouds together as a new service. Prior work focused on how to compose services and ignored energy consumption caused by the execution of atomic services. In this paper, we examine an energy-aware heuristic for service composition (EASC) under a multi-Cloud environment to reduce energy consumption from executing atomic services. To meet our requirements, we try to compose services in one cloud to reduce energy consumption for transferring files between atomic services. Beyond that, we also consider the influence of the split-point positions to energy consumption and other metrics. Simulation results show that our proposed method has shown good performance in reducing execution time and energy consumption. |
| format | Article |
| id | doaj-art-df402a92d55f441d82dfead913c446e3 |
| institution | Kabale University |
| issn | 1319-1578 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj-art-df402a92d55f441d82dfead913c446e32025-08-20T03:48:35ZengSpringerJournal of King Saud University: Computer and Information Sciences1319-15782022-07-013473959396710.1016/j.jksuci.2022.04.014Energy-aware service composition in multi-CloudJianmin Li0Ying Zhong1Shunzhi Zhu2Yongsheng Hao3School of Computer and Information Engineering, Xiamen University of Technology, 361024, China; Corresponding author.School of Computer and Information Engineering, Xiamen University of Technology, 361024, ChinaSchool of Computer and Information Engineering, Xiamen University of Technology, 361024, ChinaNetwork Center, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaService composition is widely used in multiple scenarios to meet users’ various demands. In a multi-Cloud environment (MCE), a composite request (service request) needs atomic services (service candidates) located in multiple clouds with various functions. Service composition composes atomic services from multiple clouds together as a new service. Prior work focused on how to compose services and ignored energy consumption caused by the execution of atomic services. In this paper, we examine an energy-aware heuristic for service composition (EASC) under a multi-Cloud environment to reduce energy consumption from executing atomic services. To meet our requirements, we try to compose services in one cloud to reduce energy consumption for transferring files between atomic services. Beyond that, we also consider the influence of the split-point positions to energy consumption and other metrics. Simulation results show that our proposed method has shown good performance in reducing execution time and energy consumption.http://www.sciencedirect.com/science/article/pii/S1319157822001422Energy-awareMulti-CloudScheduling methodService composition |
| spellingShingle | Jianmin Li Ying Zhong Shunzhi Zhu Yongsheng Hao Energy-aware service composition in multi-Cloud Journal of King Saud University: Computer and Information Sciences Energy-aware Multi-Cloud Scheduling method Service composition |
| title | Energy-aware service composition in multi-Cloud |
| title_full | Energy-aware service composition in multi-Cloud |
| title_fullStr | Energy-aware service composition in multi-Cloud |
| title_full_unstemmed | Energy-aware service composition in multi-Cloud |
| title_short | Energy-aware service composition in multi-Cloud |
| title_sort | energy aware service composition in multi cloud |
| topic | Energy-aware Multi-Cloud Scheduling method Service composition |
| url | http://www.sciencedirect.com/science/article/pii/S1319157822001422 |
| work_keys_str_mv | AT jianminli energyawareservicecompositioninmulticloud AT yingzhong energyawareservicecompositioninmulticloud AT shunzhizhu energyawareservicecompositioninmulticloud AT yongshenghao energyawareservicecompositioninmulticloud |