An effective job replication technique based on reliability and performance in mobile grids

  • Authors:
  • Daeyong Jung;SungHo Chin;KwangSik Chung;Taeweon Suh;HeonChang Yu;JoonMin Gil

  • Affiliations:
  • Dept of Computer Science and Education, Korea University, Seoul, Korea;Dept of Computer Science and Education, Korea University, Seoul, Korea;Dept of Computer Science, Korea National Open University, Seoul, Korea;Dept of Computer Science and Education, Korea University, Seoul, Korea;Dept of Computer Science and Education, Korea University, Seoul, Korea;School of Computer & Information Communications Engineering, Catholic University of Daegu, Daegu, Korea

  • Venue:
  • GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
  • Year:
  • 2010

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Abstract

Recently, many studies have attempted to utilize mobile nodes as resources in mobile grids Due to their underlying restrictions such as intermittent communication disconnections, limited battery capacity, and so on, mobile nodes are less reliable than wired nodes for job processing Therefore, it is imperative to find an enhanced job scheduling method to provide stable job processing for mobile grids In this paper, we propose an efficient job scheduling method in mobile grids, which can determine the suitable number of replicas for a job based on resource (mobile node) information, node status, and access point information In our job scheduling method, mobile nodes are divided into node groups, and the number of subjobs assigned to each node group is derived from the reliability and performance of the node group Simulation results show that our scheduling algorithms can reduce the makespan of entire jobs in mobile grid environments compared with random-based job scheduling.