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An efficient energy-aware method for virtual machine placement in cloud data centers using the cultural algorithm

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Abstract

Excessive consumption of energy in cloud data centers whose number is increasing day by day has led to substantial problems. Hence, offering efficient schemes for virtual machine (VM) placement to decrease energy consumption in cloud computing environments has become a significant research field in recent years. In this paper, with the goal of reducing energy consumption in cloud data centers, we present a VM placement method using the cultural algorithm. In the proposed algorithm called balance-based cultural algorithm for virtual machine placement (BCAVMP), a new fitness function is introduced to evaluate VM allocation solutions. In this function, by using the sum of balance vector lengths for each VM placement, balanced utilization of resources is considered. Also, by applying the amount of energy usage in the fitness function, solutions with lower energy consumption are intended. The performance of the proposed method is evaluated using CloudSim simulator. The simulation results indicate that by appropriate VM assignment and resource wastage reduction, energy consumption in cloud data centers can be decreased.

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Authors and Affiliations

  1. Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Mahdieh Mohammadhosseini & Ebrahim Mahdipour

  2. Department of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

    Abolfazl Toroghi Haghighat

Authors
  1. Mahdieh Mohammadhosseini
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  2. Abolfazl Toroghi Haghighat
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  3. Ebrahim Mahdipour
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Correspondence to Abolfazl Toroghi Haghighat.

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Mohammadhosseini, M., Toroghi Haghighat, A. & Mahdipour, E. An efficient energy-aware method for virtual machine placement in cloud data centers using the cultural algorithm. J Supercomput 75, 6904–6933 (2019). https://doi.org/10.1007/s11227-019-02909-3

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