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Effect of the Degree of Neighborhood on Resource Discovery in Ad Hoc Grids

机译:邻域程度对Ad Hoc网格中资源发现的影响

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Resource management is one of the important issues in the efficient use of grid computing, in general, and poses specific challenges in the context of ad hoc grids due to the heterogeneity, dynamism, and intermittent participation of participating nodes in the ad hoc grid. In this paper, we consider three different kinds of organizations in an ad hoc grid ranging from completely centralized to completely decentralized (P2P). On the basis of self organization mechanisms, we study the effect of the neighborhood degree of a node for finding resources on the efficiency of resource allocation. We investigate the message complexity of each organization and its corresponding efficiency in terms of task/resource matching and the response time. We show that the intermediate state of the ad hoc grid with multiple adaptive matchmakers outperforms both a completely centralized and a completely decentralized (P2P) infrastructure.
机译:通常,资源管理是有效使用网格计算的重要问题之一,并且由于自组织网格中参与节点的异构性,动态性和间歇性参与,因此在自组织网格的环境中提出了特定的挑战。在本文中,我们考虑了一个临时网格中的三种不同类型的组织,范围从完全集中到完全分散(P2P)。基于自我组织机制,我们研究了节点寻找资源的邻域度对资源分配效率的影响。我们根据任务/资源匹配和响应时间来调查每个组织的消息复杂性及其相应的效率。我们显示,具有多个自适应匹配器的临时网格的中间状态优于完全集中式和完全分散式(P2P)的基础结构。

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