Performance analysis and prediction on VEGA grid

  • Authors:
  • Haijun Yang;Zhiwei Xu;Yuzhong Sun;Zheng Shen;Changshu Liu

  • Affiliations:
  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P.R.China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P.R.China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P.R.China;Beijing Institute of Technology, Beijing, P.R. China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P.R.China

  • Venue:
  • ISPA'05 Proceedings of the Third international conference on Parallel and Distributed Processing and Applications
  • Year:
  • 2005

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Abstract

With the dramatic development of grid technologies, performance analysis and prediction of grid systems is increasingly significant to develop a variety of new grid technologies. The VEGA grid, a new grid infrastructure developed by Institute of Computing Technology, CAS, views a grid as a distributed computer system. In this paper, we propose some new metrics to evaluate the performance of it. Moreover, we apply queueing system models to model the VEGA grid and predict the performance of it in terms of the mean queue length and mean service time, especially, in the equilibrium state. Hence, a real application, the Air booking service, is deployed on the VEGA grid as a benchmark to measure the performance via latency and throughput. Finally, we point out this method can be used on other homogeneous grid systems.