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作者:

Li, Hui-fang (Li, Hui-fang.) | Zhao, Lei (Zhao, Lei.) | Zhang, Bai-hai (Zhang, Bai-hai.) | Li, Jian-qiang (Li, Jian-qiang.) (学者:李建强)

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CPCI-S Scopus

摘要:

Cloud manufacturing transforms scattered resources and capabilities supplied by entity enterprise into integrated manufacturing cloud services, which can be realized through composing different services. A complete candidate service set is the foundation of developing a composite service with higher quality. In order to improve QoS (Quality of Service) of the composite service, the correlations between services are considered and then classified in the whole composition process. However, considering the correlation in composition process but ignoring it during matching process, such as the existing methods about service correlation, will affect QoS of the composite service. In this paper, an extended service modelling is proposed to describe service correlations, and then a reservation algorithm is designed to reserve services with correlation in service matching stage so as to make the composite service much better than before. Simulation results demonstrate the effectiveness of our model and algorithm.

关键词:

Quality of service Cloud manufacturing Service correlation Service reservation

作者机构:

  • [ 1 ] [Li, Hui-fang]Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
  • [ 2 ] [Zhao, Lei]Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
  • [ 3 ] [Zhang, Bai-hai]Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
  • [ 4 ] [Li, Jian-qiang]Beijing Univ Technol, Sch Software Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • [Li, Hui-fang]Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China

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来源 :

2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS

ISSN: 1062-922X

年份: 2015

页码: 509-514

语种: 英文

被引次数:

WoS核心集被引频次: 12

SCOPUS被引频次: 15

ESI高被引论文在榜: 0 展开所有

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