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Research Article | Open Access |

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) · Vol. 7, No. 1 · Published 2016 · Cited by 15

DOI: https://doi.org/10.14569/IJACSA.2016.070127

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

How to Cite this Article

AlIsmail, S. M., & Kurdi, H. A. (2016). Review of Energy Reduction Techniques for Green Cloud Computing. International Journal of Advanced Computer Science and Applications, 7(1). https://doi.org/10.14569/IJACSA.2016.070127

AlIsmail, Shaden M., and Heba A. Kurdi. "Review of Energy Reduction Techniques for Green Cloud Computing." International Journal of Advanced Computer Science and Applications, vol. 7, no. 1, 2016, https://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},
  volume    = {7},
  number    = {1},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Shaden M. AlIsmail and Heba A. Kurdi},
  doi       = {10.14569/IJACSA.2016.070127},
  url       = {https://doi.org/10.14569/IJACSA.2016.070127}
}

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