Parallel Models and Job Characterization for System Scheduling

  • Authors:
  • Xiaotie Deng;Horace Ho-Shing Ip;Ken C. K. Law;J. Li;W. Zheng;S. Zhu

  • Affiliations:
  • -;-;-;-;-;-

  • Venue:
  • ICCS '01 Proceedings of the International Conference on Computational Science-Part II
  • Year:
  • 2001

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Abstract

In this work, we study job characterization in multi-programmed multiprocessor system by taking into consideration the parallel job models. We first introduce an example to illustrate the issues involved. Then we focus on two popular system scheduling policies: round-robin for single processor systems, and equi-partition for multiprocessor systems. We analytically study effect of job parallelization on the overall performance of the system, and also present simulation results. Through these studies, we discuss scheduling policies of parallel jobs in relation to the ratio of number of jobs and the number of processors in the multiprocessor system, and propose new paradigm for parallel algorithm designs.