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Resource Allocation Scheme to Minimize Communication Cost in Mobile Ad Hoc Computational Grids

机译:资源分配方案以最小化移动Ad Hoc计算网格中的通信成本

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Recent advancements in mobile computing and communication technologies has given rise to development of mobile ad hoc computational grids. The mobile ad hoc computational grids provide a software infrastructure to share computing resources in mobile ad hoc environments. The adaptation of computational grids in mobile ad hoc environments is not straightforward, and presents many research challenges due to node mobility and infrastructure-less network environment. In order to improve utilization of shared computing resources and application performance, one of the key services is a resource allocation. In this paper, we propose a centralized resource allocation scheme that allocates dependent tasks among nodes in mobile ad hoc computational grids. First, we classify tasks and dependencies, and then exploit them to reduce communication cost among interdependent tasks, and thus application completion time. The effectiveness of proposed scheme is demonstrated through simulations.
机译:移动计算和通信技术的最新进展已经引起了移动自组织计算网格的发展。移动自组织计算网格提供了一种软件基础结构,以共享移动自组织环境中的计算资源。在移动自组织环境中,计算网格的适应并非易事,并且由于节点移动性和无基础设施的网络环境而带来了许多研究挑战。为了提高共享计算资源的利用率和应用程序性能,关键服务之一是资源分配。在本文中,我们提出了一种集中式资源分配方案,该方案可在移动自组织计算网格中的节点之间分配相关任务。首先,我们对任务和依赖项进行分类,然后利用它们来减少相互依赖的任务之间的通信成本,从而减少应用程序的完成时间。仿真结果证明了所提方案的有效性。

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