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Energy-efficient Nature-Inspired techniques in Cloud computing datacenters

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Abstract

Cloud computing is a systematic delivery of computing resources as services to the consumers via the Internet. Infrastructure as a Service (IaaS) is the capability provided to the consumer by enabling smarter access to the processing, storage, networks, and other fundamental computing resources, where the consumer can deploy and run arbitrary software including operating systems and applications. The resources are sometimes available in the form of Virtual Machines (VMs). Cloud services are provided to the consumers based on the demand, and are billed accordingly. Usually, the VMs run on various datacenters, which comprise of several computing resources consuming lots of energy resulting in hazardous level of carbon emissions into the atmosphere. Several researchers have proposed various energy-efficient methods for reducing the energy consumption in datacenters. One such solutions are the Nature-Inspired algorithms. Towards this end, this paper presents a comprehensive review of the state-of-the-art Nature-Inspired algorithms suggested for solving the energy issues in the Cloud datacenters. A taxonomy is followed focusing on three key dimension in the literature including virtualization, consolidation, and energy-awareness. A qualitative review of each techniques is carried out considering key goal, method, advantages, and limitations. The Nature-Inspired algorithms are compared based on their features to indicate their utilization of resources and their level of energy-efficiency. Finally, potential research directions are identified in energy optimization in data centers. This review enable the researchers and professionals in Cloud computing datacenters in understanding literature evolution towards to exploring better energy-efficient methods for Cloud computing datacenters.

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Authors and Affiliations

  1. Department of Computer Science, Universiti Teknology Malaysia, 81310, Skudai Johor, Malaysia

    Mohammed Joda Usman, Abdul Samad Ismail & Ahmed Aliyu

  2. Department of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

    Gaddafi Abdul-Salaam

  3. School of Computing and Technology, University of Gloucestershire, Cheltenham, UK

    Hassan Chizari

  4. School of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham, NG11 8NS, UK

    Omprakash Kaiwartya

  5. Department of Computer Science, Abubakar Tafawa Balewa Bauchi, 740272, Bauchi, Nigeria

    Abdulsalam Yau Gital

  6. Department of Computer Science, Ahmadu Bello University Zaria, 81007, Kaduna, Nigeria

    Muhammed Abdullahi & Salihu Idi Dishing

  7. Department of Mathematics, Bauchi State University Gadau, PMB 068, Bauchi State, Nigeria

    Mohammed Joda Usman & Ahmed Aliyu

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  1. Mohammed Joda Usman
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Usman, M.J., Ismail, A.S., Abdul-Salaam, G. et al. Energy-efficient Nature-Inspired techniques in Cloud computing datacenters. Telecommun Syst 71, 275–302 (2019). https://doi.org/10.1007/s11235-019-00549-9

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