出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Computational Grid (CG) creates a large heterogeneous and distributed paradigm to manageand execute the applications which are computationally intensive. In grid scheduling tasks areassigned to the proper processors in the grid system to for its execution by considering theexecution policy and the optimization objectives. In this paper, makespan and the faulttoleranceof the computational nodes of the grid which are the two important parameters for thetask execution, are considered and tried to optimize it. As the grid scheduling is considered tobe NP-Hard, so a meta-heuristics evolutionary based techniques are often used to find asolution for this. We have proposed a NSGA II for this purpose. The performance estimation ofthe proposed Fault tolerance Aware NSGA II (FTNSGA II) has been done by writing programin Matlab. The simulation results evaluates the performance of the all proposed algorithm andthe results of proposed model is compared with existing model Min-Min and Max-Minalgorithm which proves effectiveness of the model.
