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Co-ordination in Intelligent Ant-Based Application Service Mapping in Grid Environments

机译:网格环境中基于智能蚂蚁的应用服务映射中的协调

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A key problem of component-based grid application configuration is to map services onto the execution nodes of the grid environment such that all services of the application satisfy some minimum quality requirements. This problem is known to be NP-hard. This paper presents two extensions to our previous ant-based application service mapping heuristic, in order to establish some coordination among the working agents in a decentralized environment and improve its convergence rate. The first extension proposes to use gatekeepers that learn to guide the movement of intelligent foraging ants. The second extension is a coordination mechanism to allow an ant to draw on the learned knowledge of its co-workers. The simulation evaluation of the proposed extensions shows that inclusion of scaled sleep time further improves the convergence rates while the gatekeepers seem to have a negative effect.
机译:基于组件的网格应用程序配置的关键问题是将服务映射到网格环境的执行节点上,以使应用程序的所有服务都满足一些最低质量要求。已知此问题是NP难题。本文提出了对我们先前基于蚂蚁的应用服务映射启发式方法的两个扩展,以在分散环境中建立工作代理之间的某种协调并提高其收敛速度。第一个扩展建议使用可以学习指导智能觅食蚂蚁运动的网守。第二种扩展是一种协调机制,使蚂蚁可以利用其同事的学习知识。对拟议扩展的仿真评估表明,包括按比例缩放的睡眠时间可进一步提高收敛速度,而网守似乎具有负面影响。

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