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作者:

Bi, Jing (Bi, Jing.) | Yuan, Haitao (Yuan, Haitao.) | Zhou, Mengchu (Zhou, Mengchu.)

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摘要:

Non-local choice mismatch is one of the most important problems in the Internet-scale and service-based workflow ecosystems. The state-of-the-art method can solve it by generating adaptors to check deadlock-freeness based on a reachability graph. The states in the reachability graph give clues to re-design the composition. Deadlocks are resolved via an iterative process. However, this method is inefficient due to the overlook of the future deadlock state and the requirement of many interactions with a developer. In this paper, an abnormity prevention strategy based on an optimal controller is proposed for collaboration services described by Web Services Choreography Description Language. To overcome the deficiencies of the previous work, we describe service choreography by using service workflow nets. Then, by combining structure and reachability analyses, we formulate a different reachability graph called controlled reduced one. We next develop a maximally permissive state feedback control policy to prevent abnormity. We finally construct an optimal controller for the administrator of service composition to avoid deadlocks in service choreography. The advantage of our methodology is verified via an example.

关键词:

Web service Petri net hybrid optimal controller Service choreography deadlock prevention

作者机构:

  • [ 1 ] [Bi, Jing]Beijing Univ Technol, Beijing Engn Res Ctr IoT Software & Syst, Sch Software Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Yuan, Haitao]Beijing Jiaotong Univ, Sch Software Engn, Beijing 100044, Peoples R China
  • [ 3 ] [Zhou, Mengchu]New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
  • [ 4 ] [Zhou, Mengchu]Tongji Univ, Key Lab Embedded Syst & Serv Comp, Minist Educ, Shanghai 201804, Peoples R China

通讯作者信息:

  • [Yuan, Haitao]Beijing Jiaotong Univ, Sch Software Engn, Beijing 100044, Peoples R China

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来源 :

IEEE ACCESS

ISSN: 2169-3536

年份: 2016

卷: 4

页码: 8581-8592

3 . 9 0 0

JCR@2022

中科院分区:2

被引次数:

WoS核心集被引频次: 12

SCOPUS被引频次: 14

ESI高被引论文在榜: 0 展开所有

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