基于演化博弈的服务系统全生命周期性能演进方法

项目名称： 基于演化博弈的服务系统全生命周期性能演进方法

项目编号： No.61300019

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 那俊

作者单位： 东北大学

项目金额： 23万元

中文摘要： 如何使服务系统能够自治地发现并适应其运行环境的动态变化，实现对资源的优化使用，不断提升系统性能或服务质量是服务计算研究的热点问题之一。本课题以服务系统从业务建模到系统实例的初始生成及其随环境变化的自适应执行直到最终停用的完整生命周期为出发点，充分考虑服务市场中的供需关系和竞争关系，以演化博弈论为指导，以达到服务提供者和使用者"双赢"的服务供给关系为目标，建立动态竞争的服务市场模型，研究以基于竞争博弈的构件服务空间进化模型、基于合作博弈的构件服务调度机制和面向双赢目标的SLA自治协商机制为核心的服务系统性能演进方法，实现服务系统面向全生命周期的持续性能演进。课题强调对服务系统完整生命周期中运行环境变化及系统相关适应行为的积累、分析和利用，形成系统性能优化的长效机制，并在系统性能演进过程中兼顾性能指标和经指标，使得演进策略更符合实际市场规律，为服务系统自治演进相关研究提供了新思路。

中文关键词： 服务系统；性能演进；全生命周期；演化博弈；强化学习

英文摘要： How to make the service system able to discover and adapt to the dynamic changes in its operating environment autonomously in order to achieve optimal use of resources and improve the system performance or quality of service (QoS) continuously is one of the hottest issues in service computing. We take service system's whole lifecycle as a starting point, from the business modeling to the system instance initialization until its adaptive execution with environmental changes and the finally stop. We also fully consider the relationship between supply and demand and the competition relationship in the services market, and takes evolutionary game theory as guidance to achieve the "win-win" supply relationship between service providers and service consumers. Besides, it is to establish a dynamic competitive service market model, and to propose service system performance evolution method, whose cores are the component service space evolution model based on competition game, the component service scheduling mechanism based on cooperative game and the SLA autonomous negotiation mechanism oriented the win-win goal. Finally, a continuously performance evolution approach will be formed. What's more, this subject emphasizes the changes of operating environment and the accumulation, analysis and utilize of system related ada

英文关键词： service-based software systems；performance evolution；whole lifecycle；evolutionary game theory；reinforcement learning