Abstract: The requirement of high computational tasks which require large jobs sizes has increased, due to this demand of supercomputer increases which could handle large computational requirements. Computational multi-clusters are an important emerging class of supercomputing architectures. Multi-cluster schedulers must address not only node resource allocation but also inter-cluster network utilization. In this work a new adaptive scheduling policy for heterogeneous multi-cluster systems will be developed. In this work Firstly, it identifies several of the parameters necessary to make intelligent scheduling decisions with respect to job co-allocation in a multi-cluster, to study the effect of multi-site parallel execution parameters, calculate waiting time and co-allocation time parameters, calculate the response parameters and then compare the waiting time and co-allocation parameters to increase the performance of multi-cluster systems.
Keywords: requirement, computational, supercomputer, Multi-cluster, scheduling, allocation, parameters.
Title: Parallel Processing
Author: Anju Kundal
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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