Ensuring Coordination of Multi-business Interactions

被引:0
|
作者
Yuan, Min [1 ]
Huang, Zhiqiu [1 ]
Hu, Jun [1 ]
Li, Xiang [1 ]
Zhu, Yi [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Informat Sci & Technol, Nanjing 210016, Peoples R China
来源
2009 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING | 2009年
关键词
coordination; multi-business; model checking; process interaction; Pi-calculus;
D O I
10.1109/SCC.2009.82
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
While the potential benefits of multi-business interaction automation are truly phenomenal, the complexity of business has increased dramatically, and building reliable and secure e-business application systems becomes an important issue. Industry standards for Web service composition, such as BPEL, provide the notion of LRT (Long running transaction) for the execution of business processes in Web service collaborations. Formal verification of BPEL programs and specifications has become a hot topic. However, the notion of LRT described in BPEL is purely local and occurs within a single business process instance. In this work a two-step model checking method, from simply to the complex, is proposed for multi-business process. A preliminary step is to judge business correctness on external logic transition relations amongst businesses with various simple symbolic model checking tools, and then make further checking interaction validation based on internal system behavior in multi-business coordination with model checking verification environment for mobile processes. The typical scenario is illustrated to show how model checking is applied to verify the reliability of multi-business coordination. All of these have important implications for ensuring multi-business process coordination.
引用
收藏
页码:356 / 363
页数:8
相关论文
共 50 条
  • [31] Behavior coordination in multi-robot systems
    Mendiburu, Fernando J.
    Morais, Marcos R. A.
    Lima, Antonio M. N.
    2016 IEEE INTERNATIONAL CONFERENCE ON AUTOMATICA (ICA-ACCA), 2016,
  • [32] Orientation Searching on Multi Robot Coordination System
    Ihsani, Farhan Purdi
    Jati, Agung Nugroho
    Saputra, Randy Efra
    PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, BIOMIMETICS, AND INTELLIGENT COMPUTATIONAL SYSTEMS (ROBIONETICS), 2018, : 27 - 31
  • [33] An analysis of coordination in multi-robot systems
    Farinelli, A
    Iocchi, L
    Nardi, D
    2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, : 1487 - 1492
  • [34] Solution Modeling in System Coordination of Objectives and Resourcing Linear Business Processes
    Kanev, Valeriy
    5TH INTERNATIONAL SCIENTIFIC CONFERENCE CONTEMPORARY ISSUES IN BUSINESS, MANAGEMENT AND EDUCATION 2017, 2017, : 445 - 452
  • [35] Emergent coordination in multi-robot systems
    Gala, Angel
    Aguilar, Jose
    Rivas, Rafael
    Dapena, Eladio
    UIS INGENIERIAS, 2019, 18 (03): : 75 - 86
  • [36] Coordination Based on Multi-Agent and Its Application of Urban Intersection Traffic Coordination Control
    Xia, Xin-hai
    Xu, Lun-hui
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 5982 - 5987
  • [37] Altruistic coordination for multi-robot cooperative pathfinding
    Changyun Wei
    Koen V. Hindriks
    Catholijn M. Jonker
    Applied Intelligence, 2016, 44 : 269 - 281
  • [38] A Model of Multi-Finger Coordination in Keystroke Movement
    Lin, Jialuo
    Ding, Baihui
    Song, Zilong
    Li, Zheng
    Li, Shengchao
    SENSORS, 2024, 24 (04)
  • [39] A COORDINATION MODEL FOR MULTI AGENT SYSTEM BY DEVELOPING LINDA
    Azad, Saeed Talatian
    Chamkoori, Alireza
    2011 3RD INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT (ICCTD 2011), VOL 3, 2012, : 509 - 517
  • [40] Control Fusion for Safe Multi-Robot Coordination
    Bostelman, Roger
    Marvel, Jeremy
    MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS 2014, 2014, 9121