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Neural Computing and Applications

, Volume 26, Issue 6, pp 1297–1309 | Cite as

A hybrid meta-heuristic algorithm for VM scheduling with load balancing in cloud computing

  • Keng-Mao Cho
  • Pang-Wei Tsai
  • Chun-Wei TsaiEmail author
  • Chu-Sing Yang
Original Article

Abstract

Virtual machine (VM) scheduling with load balancing in cloud computing aims to assign VMs to suitable servers and balance the resource usage among all of the servers. In an infrastructure-as-a-service framework, there will be dynamic input requests, where the system is in charge of creating VMs without considering what types of tasks run on them. Therefore, scheduling that focuses only on fixed task sets or that requires detailed task information is not suitable for this system. This paper combines ant colony optimization and particle swarm optimization to solve the VM scheduling problem, with the result being known as ant colony optimization with particle swarm (ACOPS). ACOPS uses historical information to predict the workload of new input requests to adapt to dynamic environments without additional task information. ACOPS also rejects requests that cannot be satisfied before scheduling to reduce the computing time of the scheduling procedure. Experimental results indicate that the proposed algorithm can keep the load balance in a dynamic environment and outperform other approaches.

Keywords

Scheduling Load balance Cloud computing Ant colony optimization Particle swarm optimization 

Notes

Acknowledgments

This work was supported in part by the Ministry of Science and Technology of Taiwan, R.O.C., under grants NSC 100-2218-E-006-028-MY3, NSC 100-2218-E-006-031-MY3 and MOST-103-2221-E-197-034.

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Copyright information

© The Natural Computing Applications Forum 2014

Authors and Affiliations

  • Keng-Mao Cho
    • 1
  • Pang-Wei Tsai
    • 1
  • Chun-Wei Tsai
    • 2
    Email author
  • Chu-Sing Yang
    • 1
  1. 1.Institute of Computer and Communication Engineering, Department of Electrical EngineeringNational Cheng Kung UniversityTainanTaiwan, ROC
  2. 2.Department of Computer Science and Information EngineeringNational Ilan UniversityYilanTaiwan, ROC

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