Adaptive Component Replica Selection Model and Algorithms
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    Abstract:

    This paper proposes a domain based adaptive replica selecting model named DARSM (domain based adaptive replica selection model), in which component replicas are organized into strong consistency domain and weak consistency domain, and a schema based on consistency window is utilized to synchronize states between theses domains. Accordingly, a partition-balanced based adaptive replica selection algorithm PWARS (partition- weighted based adaptive replica selection) could be built on dynamic performance metric information to select the appropriate replica set that satisfies specific QoS constraints. A consistency window adaptive reconfiguration algorithm CWAR (consistency window adaptive reconfiguration) is presented to adapt to the dynamic change of consistency constraints. In this algorithm, a probability model built on the base of current consistency constraints distribution is used to dynamically adjust the configuration of consistency window. As a result, the inconsistency of each replica is controlled adaptively. This approach has been implemented in OnceAS, and experimental results demonstrate that it can effectively enhance the performance of replica selection.

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左 林,刘绍华,魏 峻,冯玉琳,范国闯.自适应组件副本选择模型及算法.软件学报,2008,19(5):1212-1223

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  • Received:July 13,2006
  • Revised:January 04,2007
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