Energy-Efficient IoT Service Composition for Concurrent Timed Applications
文献类型：期刊论文
| 作者 | Sun, Mengyu2; Zhou, Zhangbing1,2; Wang, Junping3 ; Du, Chu4; Gaaloul, Walid1
|
| 刊名 | FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
 |
| 出版日期 | 2019-11-01 |
| 卷号 | 100页码:1017-1030 |
| ISSN号 | 0167-739X |
| 关键词 | IoT service composition Temporal constraints Concurrent requests Energy efficiency |
| DOI | 10.1016/j.future.2019.05.070 |
| 通讯作者 | Zhou, Zhangbing(zbzhou@cugb.edu.cn) |
| 英文摘要 | The Internet of Things (IoT) paradigm has established an efficient platform to enable the collaboration and cooperation of self-configurable and energy-aware IoT nodes for supporting complex applications. Heterogeneous IoT nodes provide various kinds of functionalities, which can be encapsulated and represented as IoT services. These services can be composed to provide value-added services, while spatial-temporal constraints of IoT services should be satisfied, and energy consumption of IoT nodes should be balanced to prolong the network lifetime. Given a set of concurrent service requests, a challenge is to recommend efficient service compositions. To address this challenge, this paper proposes to identify and share common functional components, and thus, to integrate and optimize concurrent requests, where a component corresponds to a snippet of IoT service compositions. Shared components in different requests should not violate their temporal dependencies and thus improving resource utilization. Consequently, composing IoT services with respect to concurrent requests can be reduced to a constrained multi-objective optimization problem, which can be solved by heuristic algorithms. Experimental evaluation has been performed with respect to the state-of-art's algorithms, and the results demonstrate the efficiency and performance of this technique, especially when IoT nodes are relatively large in number and their functionalities are highly overlapped with each other. (C) 2019 Elsevier B.V. All rights reserved. |
| WOS关键词 | SCHEME |
| 资助项目 | National Natural Science Foundation of China[61772479] ; National Natural Science Foundation of China[61662021] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000503827500073 |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/29467]  |
| 专题 | 精密感知与控制研究中心_人工智能与机器学习 |
| 通讯作者 | Zhou, Zhangbing |
| 作者单位 | 1.TELECOM SudParis, Dept Comp Sci, Evry, France 2.China Univ Geosci Beijing, Sch Informat Engn, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, Lab Precis Sensing & Control Ctr, Beijing, Peoples R China 4.China Elect Technol Grp Corp, Res Inst 54, Shijiazhuang, Hebei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Mengyu,Zhou, Zhangbing,Wang, Junping,et al. Energy-Efficient IoT Service Composition for Concurrent Timed Applications[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2019,100:1017-1030. |
| APA | Sun, Mengyu,Zhou, Zhangbing,Wang, Junping,Du, Chu,&Gaaloul, Walid.(2019).Energy-Efficient IoT Service Composition for Concurrent Timed Applications.FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,100,1017-1030. |
| MLA | Sun, Mengyu,et al."Energy-Efficient IoT Service Composition for Concurrent Timed Applications".FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 100(2019):1017-1030. |
入库方式： OAI收割
来源：自动化研究所
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