An Adaptive Counting Job Scheduling algorithm for grid computing

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-32 Number-1
Year of Publication : 2016
Authors : S. Jagadesan, M.Vanitha
  10.14445/22312803/IJCTT-V32P107

MLA

S. Jagadesan, M.Vanitha "An Adaptive Counting Job Scheduling algorithm for grid computing". International Journal of Computer Trends and Technology (IJCTT) V32(1):36-43, February 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
In contrast to the traditional notion of using supercomputers, grid computing is proposed. Distributed computing supports resource sharing. Parallel computing supports computing power. Grid computing aims to harness the power of both distributed computing and parallel computing. The goal of grid computing is to aggregate idle resources on the Internet such as significant Processing Unit (CPU) cycles and storage spaces to facilitate utilization.. Grid technology, which connects a number of personal computer clusters with high speed networks, can achieve the same computing power as a supercomputer does, also with a lower cost. However, grid is a heterogeneous system. Scheduling independent tasks on it is more complicated. In order to utilize the power of grid completely, we need an efficient job scheduling algorithm to assign jobs to resources in a grid. This project proposes an Adaptive Scoring Job Scheduling algorithm (ASJS) for the grid environment. Compared to other methods, it can decrease the completion time of submitted jobs, which may compose of computing-intensive jobs and dataintensive jobs.

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Keywords
Grid computing, Resources, Scheduling Replication.