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Closed form Solution for Scheduling Arbitrarily Divisible Load Model in Data Grid Applications: Multiple Sources | Science Publications

机译:在数据网格应用程序中调度任意可分负载模型的封闭形式解决方案:多个源科学出版物

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> Scheduling an application in data grid was significantly complex and very challenging because of its heterogeneous in nature of the grid system. When the Divisible Load Theory (DLT) model had emerged as a powerful model for modeling data-intensive grid problem, Task Data Present (TDP) model was proposed based on it. This study presented a new Adaptive TDP (ATDP) for scheduling the intensive grid applications. New closed form solution for obtaining the load allocation was derived while computation speeds and communication links are heterogeneous. Experimental results showed that the proposed model can balance the load efficiently.
机译: >在数据网格中调度应用程序非常复杂,并且极具挑战性,因为它在网格系统的本质上是异构的。当可分负荷理论(DLT)模型成为用于建模数据密集型网格问题的强大模型时,基于此提出了任务数据存在(TDP)模型。这项研究提出了一种新的自适应TDP(ATDP),用于调度密集型网格应用程序。在计算速度和通信链接异构的情况下,得出了用于获得负载分配的新的封闭形式解决方案。实验结果表明,该模型可以有效地均衡负载。

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