An Integrated Processor Allocation and Job Scheduling Approach to Workload Management on Computing Grid

نویسندگان

  • Kuo-Chan Huang
  • Hsi-Ya Chang
چکیده

Processor allocation and job scheduling are two complementary techniques for improving the performance of parallel systems. This paper presents an effort in studying the issues of processor allocation and job scheduling on the emerging computing grid platform and developing an integrated approach to efficient workload management. The experimental results indicate that through careful design of processor allocation and job scheduling methods the overall system performance on computing grid can be improved more than 20 times in terms of waiting ratio.

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تاریخ انتشار 2006