Large-scale cooperative task distribution on peer-to-peer networks

Daniel R. Karrels, Gilbert L. Peterson, B. Mullins
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引用次数: 1

Abstract

Large-scale systems are part of a growing trend in distributed computing, and coordinating control of them is an increasing challenge. This paper presents a cooperative agent system that scales to one million or more nodes in which agents form coalitions to complete global task objectives. This approach uses the large-scale Command and Control C2 capabilities of the Resource Clustered Chord RC-Chord Hierarchical Peer-to-Peer HP2P design. Tasks are submitted that require access to processing, data, or hardware resources, and a distributed agent search is performed to recruit agents to satisfy the distributed task. This approach differs from others by incorporating design elements to accommodate large-scale systems into the resource location algorithm. Peersim simulations demonstrate that the distributed coalition formation algorithm is as effective as an omnipotent central algorithm in a one million agent system.
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点对点网络上的大规模协作任务分配
大规模系统是分布式计算发展趋势的一部分,对它们的协调控制是一个越来越大的挑战。本文提出了一种可扩展到一百万或更多节点的协作智能体系统,其中智能体组成联盟来完成全局任务目标。这种方法使用了资源集群Chord RC-Chord分层点对点HP2P设计的大规模命令和控制C2功能。提交需要访问处理、数据或硬件资源的任务,并执行分布式代理搜索以招募代理来满足分布式任务。这种方法与其他方法的不同之处在于,它将适应大规模系统的设计元素纳入了资源定位算法。Peersim仿真结果表明,在百万智能体系统中,分布式联盟形成算法与全能中心算法一样有效。
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