Energy-Efficient IoT Service Composition for Concurrent Timed Applications
Sun, Mengyu1; Zhou, Zhangbing1,4; Wang, Junping2; Du, Chu3; Gaaloul, Walid4
Source PublicationFUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
ISSN0167-739X
2019-11-01
Volume100Pages:1017-1030
Abstract

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.

KeywordIoT service composition Temporal constraints Concurrent requests Energy efficiency
DOI10.1016/j.future.2019.05.070
WOS KeywordSCHEME
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61662021] ; National Natural Science Foundation of China[61772479] ; National Natural Science Foundation of China[61772479] ; National Natural Science Foundation of China[61662021]
WOS Research AreaComputer Science
WOS SubjectComputer Science, Theory & Methods ; Computer Science, Theory & Methods ; Computer Science, Theory & Methods ; Computer Science, Theory & Methods ; Computer Science, Theory & Methods
WOS IDWOS:000503827500073
PublisherELSEVIER
IS Representative Paper
Sub direction classification机器学习
planning direction of the national heavy laboratory认知机理与类脑学习
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Cited Times:42[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/29468
Collection多模态人工智能系统全国重点实验室_人工智能与机器学习(杨雪冰)-技术团队
Corresponding AuthorZhou, Zhangbing
Affiliation1.China Univ Geosci Beijing, Sch Informat Engn, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Lab Precis Sensing & Control Ctr, Beijing, Peoples R China
3.China Elect Technol Grp Corp, Res Inst 54, Shijiazhuang, Hebei, Peoples R China
4.TELECOM SudParis, Dept Comp Sci, Evry, France
Recommended Citation
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.
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