본문 바로가기
  • Home

Fuzzy Logic-based Grid Job Scheduling Model for omputational Grid

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2007, 12(5), pp.49-56
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

박량재 1 Lee, Jongsik 1 장성호 1 Kyu-Cheol Cho 1

1인하대학교

Accredited

ABSTRACT

This paper deals with grid job allocation and grid resource scheduling to provide a stable and quicker job processing service to grid users. In this paper, we proposed a fuzzy logic-based grid job scheduling model for an effective job scheduling in computational grid environment. The fuzzy logic-based grid job scheduling model measures resource efficiency of all grid resources by a fuzzy logic system based on diverse input parameters like CPU speed and network latency and divides resources into several groups by resource efficiency. And, the model allocates jobs to resources of a group with the highest resource efficiency. For performance evaluation, we implemented the fuzzy logic-based grid job scheduling model on the DEVS modeling and simulation environment and measured reduction rates of turnaround time, job loss, and communication messages in comparison with existing job scheduling models such as the random scheduling model and the MCT(Minimum Completion time) model. Experiment results that the proposed model is useful to improve the QoS of the grid job processing service.

Citation status

* References for papers published after 2022 are currently being built.