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QoS enhancement for PDES grid based on time series prediction

  • Suihui Zhu*
  • , Zhihui Du
  • , Yinong Chen
  • , Xudong Chai
  • , Bohu Li
  • *Corresponding author for this work
  • Tsinghua University
  • Arizona State University
  • Beijing Simulation Center

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The combination of parallel/distributed discrete event simulation (PDES) and Grid technology is a new trend in simulation. QoS is important yet difficult in this process. With the special features of Gird architecture and PDES input, such as periodical and predictable inputs, we could enhance QoS with a PDES-specific prediction. A Grid-based framework is presented that is designed to help predict the performance of PDES. Based on this framework, a prediction algorithm using time series theory is presented in the context of large scale Grid simulations. Experiments are executed in the context of GridSim, which shows methods discussed before to help to improve QoS level.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Grid and Cooperative Computing, GCC 2007
Pages423-429
Number of pages7
DOIs
StatePublished - 2007
Externally publishedYes
Event6th International Conference on Grid and Cooperative Computing, GCC 2007 - Urumchi, Xinjiang, China
Duration: 16 Aug 200718 Aug 2007

Publication series

NameProceedings of the 6th International Conference on Grid and Cooperative Computing, GCC 2007

Conference

Conference6th International Conference on Grid and Cooperative Computing, GCC 2007
Country/TerritoryChina
CityUrumchi, Xinjiang
Period16/08/0718/08/07

Keywords

  • Parallel and distributed discrete event simulation
  • Quality of service
  • Time series prediction

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