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The Comparative Study of Algorithms in Building the Green Mobile Cloud Computing Environment

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 343))

Abstract

The usage of Mobile Cloud Computing over the year is directly proportional to the increase in energy consumption. This problem is then solved with the green approach, where many algorithms or methods were intensively developed to achieve an optimal state of Quality of Services performance. In this article, we conducted a Systematic Literature Review to find the latest algorithms and their respective performance for the Green Mobile Cloud Computing. From 25 papers, we conclude that heuristic and metaheuristic algorithms are the most widely applied for the computation offload and resource scheduling cases, respectively. Most articles we found used energy consumption rate and completion time as their Quality of Services measurement.

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Acknowledgment

This paper publication is fully supported by Bina Nusantara University.

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Authors and Affiliations

  1. Computer Science Department, BINUS Graduate Program, Master of Computer Science Program, Bina Nusantara University, Jakarta, 11480, Indonesia

    Nicholas Dominic, Jonathan Sebastian Prayoga, Daniel Kumala, Nico Surantha & Benfano Soewito

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  1. Nicholas Dominic
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  2. Jonathan Sebastian Prayoga
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  3. Daniel Kumala
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  4. Nico Surantha
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  5. Benfano Soewito
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Correspondence to Nico Surantha .

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  1. Dept of Info and Communication Engg, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Dominic, N., Prayoga, J.S., Kumala, D., Surantha, N., Soewito, B. (2022). The Comparative Study of Algorithms in Building the Green Mobile Cloud Computing Environment. In: Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2021. Lecture Notes in Networks and Systems, vol 343. Springer, Cham. https://doi.org/10.1007/978-3-030-89899-1_5

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  • DOI: https://doi.org/10.1007/978-3-030-89899-1_5

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