Stochastic fluid model analysis for campus grid storage service

  • Authors:

  • Xiaofeng Shi;Huifeng Xue;Zhiqun Deng

  • Affiliations:

  • College of Automation, Northwestern Polytechnical University, Xi’an, China;College of Automation, Northwestern Polytechnical University, Xi’an, China;College of Automation, Northwestern Polytechnical University, Xi’an, China

  • Venue:
  • ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
  • Year:
  • 2005

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Abstract

Campus grid storage service is to aggregate the storage resources in the servers of Campus Grid Center and colleges (or institutes, departments), and the storage resources of personal computers in the campus network. It provides storage resources registration, allocation, scheduling, and release services for users by three levels storage architecture. Due to the storage nodes’ dynamites, the total storage space that nodes contribute will dynamically change with time. To study the performance of the storage service, the stochastic fluid model is adopted. By this analytical model, we got the mathematical results as follows: the function between the storage allocation probability and the number of nodes is got; if more nodes join the campus grid, the aggregated storage space will be larger, and then the available storage resources will be more; if the storage resources allocation rate is larger than the storage resources release rate, then the available storage resources will decrease.