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IJIET 2016 Vol.6(4): 286-290 ISSN: 2010-3689
DOI: 10.7763/IJIET.2016.V6.701

Reduction of Power Consumption in Cloud Data Centers via Dynamic Migration of Virtual Machines

Mona Arjmandi, Nik Mohammad Balouchzahi, Kaamran Raahemifar, Mahmood Fathy, and Ahmad Akbari

Abstract—Cloud computing is the latest answer of technology to meet the computational requirements of users. The notable point in complicated computational works is energy consumption. The integration is one of the elements in the cloud system which can reduce the energy consumption and coordinate the software products. In this article, some solutions have been considered for determining the upper bound threshold of utilization for doing migration in order to reduce the power consumption. Also, it has been tried to use a solution to diagnose the overloaded host and eliminate it from the host as it can amend the efficiency as well as improve the host performance. All these will eventually reduce the power consumption. The results of evaluation show that the presented model has better efficiency in reducing the power consumption as well as decreasing the number of the migrations in comparison with the other models.

Index Terms—Cloud computing, overloaded host, power consumption, migration.

Mona Arjmandi, Nik Mohammad Balouchzahi, Mahmood Fathy, and Ahmad Akbari are with the Iran University of Science and Technology, Tehran, Iran (e-mail: M.arjmandi27@gmail.com, Balouchzahi@iust.ac.ir, mahfathy@iust.ac.ir, Akbarii@iust.ac.ir).
Kaamran Raahemifar is with the Ryerson University, Toronto, Canada (e-mail: Kraahemi@ee.rayerson.ca).

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Cite: Mona Arjmandi, Nik Mohammad Balouchzahi, Kaamran Raahemifar, Mahmood Fathy, and Ahmad Akbari, "Reduction of Power Consumption in Cloud Data Centers via Dynamic Migration of Virtual Machines," International Journal of Information and Education Technology vol. 6, no. 4, pp. 286-290, 2016.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net

 

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