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A Comparison Study of Different Algorithms for Energy-Aware Placement of Virtual Machines

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Advances in Intelligent, Interactive Systems and Applications (IISA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 885))

Abstract

Cloud Computing services are essential to modern society. The increasing number of people and organisations using these types of services results in a higher demand in datacenters, which in turn, is raising energy consumption and carbon footprint. Reducing energy consumption has become a subject of interest to many researchers, who approach the problem with different optimisation processes and scheduling algorithms. This article shows an extensive vision of the steps followed by a datacenter, upon the arrival of a task or application by showing how it traverses along the processing time-line, and focusing on the energy-aware point of view of the datacenter. A crucial role is played by placement process of Virtual Machines (VM). Simulations using the CloudSim simulator were performed and results are reported to show a performance comparison of several selected algorithms, which focus in the VM placement problem, and considering two scenarios: empty and loaded datacenter. The results are evaluated in terms of energy consumption, quality of service and resource memory efficiency, among others.

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Acknowledgment

This article is based on [17], where a complete study of the optimisation process and loading prediction is discussed. The authors would like to thank to the RDLab cluster [14] for their support.

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Authors and Affiliations

  1. Barcelona School of Informatics (FIB), Technical University of Catalonia, Barcelona, Spain

    Alejandro Olvera & Fatos Xhafa

Authors
  1. Alejandro Olvera
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  2. Fatos Xhafa
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Corresponding author

Correspondence to Alejandro Olvera .

Editor information

Editors and Affiliations

  1. Department de Ciències de la Computació, Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. Department of Business Systems and Analytics, La Salle University, Philadelphia, PA, USA

    Madjid Tavana

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Olvera, A., Xhafa, F. (2019). A Comparison Study of Different Algorithms for Energy-Aware Placement of Virtual Machines. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent, Interactive Systems and Applications. IISA 2018. Advances in Intelligent Systems and Computing, vol 885. Springer, Cham. https://doi.org/10.1007/978-3-030-02804-6_45

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