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A PSO-Based Hierarchical Resource Scheduling Strategy on Cloud Computing

  • Hongli Zhang
  • Panpan Li
  • Zhigang Zhou
  • Xiangzhan Yu
Part of the Communications in Computer and Information Science book series (CCIS, volume 320)

Abstract

Cloud computing environments facilitate applications by providing virtualized resources that can be provisioned dynamically. Computing resources are delivered by Virtual Machines (VMs). In such a scenario, resource scheduling algorithms play an important role where the aim is to schedule applications effectively so as to reduce the turn-around time and improve resource utilization. In this paper, we present a Particle Swarm Optimization (PSO) based strategy schedules applications to cloud resource taking into account both transmission cost and current load. In addition, a novel inertia weight was introduced in order to get the global search and local search effectively and avoid plunging into the local optimum. Finally, we experiment with application workflows by varying its performance and convergence analysis.

Keywords

PSO resource scheduling cloud computing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Hongli Zhang
    • 1
  • Panpan Li
    • 1
  • Zhigang Zhou
    • 1
  • Xiangzhan Yu
    • 1
  1. 1.School of Computer Science and TechnologyHarbin Institute of TechnologyHarbinChina

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