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A Resource Allocation Method for Computational Grids Based on On-line Reverse Auction

机译:基于在线反向拍卖的计算网格的资源分配方法

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Resource allocation and task scheduling are two key technologies in grid computing system. The market-based resource allocation model is considered as a good one. In this paper, an on-line reverse auction method of resource allocation for computational grids was proposed to solve the problem of resource management considering the dynamic characteristics of computing resources in the computational grid environment and the advantages of economics mechanism. In this method, the current price can be set using former bids. And bidders arriving one by one the on-line buyer must be required to make a decision immediately about each bid as it is received. Then we prove that the algorithm is incentive compatible and simulate the auction protocol in Gridsim to evaluate its communication demand.
机译:资源分配和任务调度是网格计算系统中的两个关键技术。基于市场的资源分配模型被认为是一个很好的资源分配模型。本文提出了一种用于计算网格的资源分配的在线反向拍卖方法,以解决考虑计算网格环境中计算资源的动态特性的资源管理问题及经济学机制的优点。在此方法中,可以使用以前的出价来设置当前价格。并且必须要求在线买方逐个到达的投标人在收到时立即决定。然后,我们证明了该算法是兼容的竞争和模拟网格中的拍卖协议,以评估其通信需求。

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