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Performance Analysis of Preemption-Aware Scheduling in Multi-cluster Grid Environments

  • Mohsen Amini Salehi
  • Bahman Javadi
  • Rajkumar Buyya
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7016)

Abstract

In multi-cluster Grids each cluster serves requests from external (Grid) users along with their own local users. The problem arises when there is not sufficient resources for local users (which have high priority) to be served urgently. This problem could be solved by preempting resources from Grid users and allocating them to the local users. However, resource preemption entails decreasing resource utilization and increasing Grid users’ response time. The question is that how we can minimize the number of preemptions taking place in a resource sharing environment. In this paper, we propose a preemption-aware scheduling policy based on the queuing theory for a virtualized multi-cluster Grid where the number of preemptions is minimized. Simulation results indicate that the proposed scheduling policy significantly decreases the number of virtual machine (VM) preemptions (up to 22.5%).

Keywords

Virtual Machine Service Time Arrival Rate Schedule Policy Local User 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Mohsen Amini Salehi
    • 1
  • Bahman Javadi
    • 1
  • Rajkumar Buyya
    • 1
  1. 1.Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computer Science and Software EngineeringThe University of MelbourneAustralia

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