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A hybrid policy for fault tolerant load balancing in grid computing environments

机译:网格计算环境中用于容错负载平衡的混合策略

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Due to the emergence of grid computing over the Internet, there is a need for a hybrid load balancing algorithm which takes into account the various characteristics of the grid computing environment. Hence, this research proposes a fault tolerant hybrid load balancing strategy namely AlgHybrid_LB, which takes into account grid architecture, computer heterogeneity, communication delay, network bandwidth, resource availability, resource unpredictability and job characteristics. AlgHybrid_LB juxtaposes the strong points of neighbor-based and cluster based load balancing algorithms. Our main objective is to arrive at job assignments that could achieve minimum response time and optimal computing node utilization. Major achievements include low complexity of proposed approach and drastic reduction of number of additional communications induced due to load balancing. A simulation of the proposed approach using Grid Simulation Toolkit (GridSim) is conducted. Experimental results show that the proposed algorithm performs very well in a large grid environment.
机译:由于因特网上网格计算的出现,需要一种混合负载平衡算法,该算法考虑了网格计算环境的各种特征。因此,本研究提出了一种容错混合负载均衡策略,即AlgHybrid_LB,该策略考虑了网格体系结构,计算机异构性,通信延迟,网络带宽,资源可用性,资源不可预测性和工作特征。 AlgHybrid_LB将基于邻居和基于群集的负载平衡算法的强项并列。我们的主要目标是达成可以实现最短响应时间和最佳计算节点利用率的作业分配。主要成就包括所提议方法的低复杂度以及由于负载平衡而导致的额外通信数量的大幅减少。使用网格仿真工具包(GridSim)对提出的方法进行了仿真。实验结果表明,该算法在大型网格环境下具有很好的性能。

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