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基于服务系统的运行时异常处理机制研究与应用 被引量:1

Research and Application of Runtime Exception Handlingand its Applications Based on Service System
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摘要 软件服务成为接入和放大各类硬件基础设施能力的基本途径,服务计算成就资源共享价值,其核心是个性化定制和按需聚合实现离散服务增值。目前基于服务的软件系统缺乏运行时异常处理和服务再聚合迭代过程考虑,没有从需求出发直接对接服务系统的自适应机制以克服运行时各种例外和应对客观存在的服务资源不足、上下文环境变化问题。论文主要贡献:1)构建服务资源自适应异常处理体系结构;2)设计应对需求和服务场景变化的运行时自适应调节机制;3)结合海南热带农产品电商平台获取实现能支持自适应SOA的运行时处理能力的CASE工具功能性需求和相关性能评估。理论研究与实证相结合,尝试为服务软件系统的运行时需求演化和异常处理构建自适应机制、提升SOA运行时自适应能力方面提供一种可行的解决方案。 Service computing achieves resource sharing value and its core is personalization and on-demand aggregation to realize value-added services.But now,service-based system lacks of runtime exception handling and iterative reaggregation process consideration.In this paper,the main contributions are as follow.Self-adaptive exception handling architecture for services resource has been built.Runtime adaptive adjustment mechanism has been designed to deal with requirements and context changes.Combination of theoretical research and empirical validation,the paper tries to provide a technical operational and cost-effective solution with adaptive mechanism for runtime requirements evolution and exception handling.
作者 文斌 罗自强
出处 《计算机与数字工程》 2017年第2期235-241,366,共8页 Computer & Digital Engineering
基金 国家自然科学基金(编号:61562024) 海南省自然科学基金(编号:20156236) 科技部国际合作项目(编号:2014DFA13140)资助
关键词 SBS 异常处理 架构演化 运行时 海南农产品电商平台 service-based system exception handling architecture evolution runtime Hainan agricultural E-business platform
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  • 1LvJiang. Ma Xiaoxin , Tao Xianping , et al. Research and Development of Internetware. Science in China Series. E Information Sciences. 2006. 36(0):1037-1080.
  • 2Northrop L. Ultra-large-scale systems: The software challenge of the future. Software Engineering Institute. Carnegie Mellon University. Pittsburgh. USA. 2006.
  • 3Cheng B. et al. Software engineering for self-adaptive systems: A research roadmap//Proceedings of the Software Engineering for Self-Adaptive Systems. Heidelberg. Germany. LNCS 5525. 2009: 1-26.
  • 4Salehie M. Tahvildari L. Self-adaptive software: Landscape and research challenges. ACM Transactions on Autonomous and Adaptive Systems. 2009, 4(2): 1-42.
  • 5Garlan D. Cheng S W. Huang A C. Rainbow: Architecturebased self-adaptation with reusable infrastructure. Computer. 2004.37(10): 46-54.
  • 6Juan T. Sterling L. A meta-model for intelligent adaptive multi-agent systems in open environments//Proceedings of the Autonomous Agent and Multi-Agent System. Melbourne, Australia. 2003: 14-18.
  • 7Bernon C. Gleizes M-P. Peyruqueou S. Picard G. ADELFE: A methodology for adaptive multi-agent systems engineering //Proceedings of the Engineering Societies in the Agents World III. Berlin. Germany, LNCS 2577. 2003: 70-81.
  • 8Mckinley P K. Sadjadi S M. Kasten E r-, Cheng B. Composing adaptive software. Computer, 2004. 37(7): 56-64.
  • 9YoderJ W. Balaguer F.Johnson R. Architecture and design of adaptive object models. ACM SIGPLAN Notices. 2001. 36(12): 50-60.
  • 10Mao XJ. Shan LJ, Zhu H, WangJ. The adaptive casteship mechanism for developing multi-agent systems. InternationalJournal of Computer Applications in Technology. 2008. 310/2): 17-34.

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