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DOI: 10.14569/IJACSA.2016.070127
PDF

Review of Energy Reduction Techniques for Green Cloud Computing

Author 1: Shaden M. AlIsmail
Author 2: Heba A. Kurdi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 1, 2016.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The growth of cloud computing has led to uneconomical energy consumption in data processing, storage, and communications. This is unfriendly to the environment, because of the carbon emissions. Therefore, green IT is required to save the environment. The green cloud computing (GCC) approach is part of green IT; it aims to reduce the carbon footprint of datacenters by reducing their energy consumption. The GCC is a broad and exciting field for research. A plethora of research has emerged aiming to support the GCC vision by improving the utilization of computing resources from different aspects, such as: software optimization, hardware optimization, and network optimization techniques. This paper overviews the approaches to GCC and classifies them. Such a classification assists in comparisons between GCC approaches by identifying the key implementation approaches and the issues related to each.

Keywords: Cloud Computing; Green Computing; Energy Efficiency; Power Management; Virtualization

Shaden M. AlIsmail and Heba A. Kurdi, “Review of Energy Reduction Techniques for Green Cloud Computing” International Journal of Advanced Computer Science and Applications(IJACSA), 7(1), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070127

@article{AlIsmail2016,
title = {Review of Energy Reduction Techniques for Green Cloud Computing},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070127},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070127},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {1},
author = {Shaden M. AlIsmail and Heba A. Kurdi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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