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An Energy Efficient and Adaptive Threshold VM Consolidation Framework for Cloud Environment

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Abstract

Cloud-based computing, in spite of its enormous benefits has ill effects on the environment also. The release of greenhouse gases and energy consumed by cloud data centers is the most important issue that needs serious attention. Virtual machine (VM) consolidation is a prominent method for energy efficient and optimal utilization of resources. However, existing VM consolidation approaches aggressively reduce energy consumption without considering quality of service (QoS) factors. In this paper, QoS-aware VM consolidation framework is presented which reduces energy consumption and tries to minimize Service Level Agreement violations at the same time. Unlike existing solutions, the framework is generic as it works for both CPU and input/output intensive tasks. The effectiveness of proposed framework is illustrated by using real dataset of Planet lab and CloudSim platform. The proposed solution can be used in cloud data centers to enable energy efficient computing.

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Authors and Affiliations

  1. Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India

    Nagma Khattar & Jaiteg Singh

  2. Department of Computer Science and Information Technology, Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    Jagpreet Sidhu

Authors
  1. Nagma Khattar
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  2. Jaiteg Singh
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  3. Jagpreet Sidhu
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Correspondence to Jagpreet Sidhu.

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Khattar, N., Singh, J. & Sidhu, J. An Energy Efficient and Adaptive Threshold VM Consolidation Framework for Cloud Environment. Wireless Pers Commun 113, 349–367 (2020). https://doi.org/10.1007/s11277-020-07204-6

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