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Energy Aware Mobile Cloud Computing Algorithm for Android Smartphones

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017 (AISI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 639))

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Abstract

Nowadays, smartphones and tablet computers have become progressively essential parts of our life. However, these devices are limited in their computational resources compared to other processing devices such as personal computers and laptops. To mitigate this problem, cloud computing can be a promising candidate to help resource-constrained devices by offloading the heavy applications onto the Cloud. In this paper, a novel energy aware mobile cloud computing algorithm is proposed. The proposed algorithm estimates the application computational time and uses weighted parameters to obtain a reliable offloading decision. This actually saves the energy and reduces applications’ execution time. Experimental results on different applications show that the proposed algorithm improves applications’ performance and effectively reduces the energy consumption through a robust estimation of applications’ execution time.

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Author information

Authors and Affiliations

  1. Department of Electronics, Communications, and Computer Engineering, Faculty of Engineering, Helwan University, Cairo, Egypt

    Samar A. Said, Sameh A. Salem & Samir G. Sayed

  2. Department of Electronic and Electrical Engineering, University College London (UCL), London, UK

    Samir G. Sayed

Authors
  1. Samar A. Said
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  2. Sameh A. Salem
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  3. Samir G. Sayed
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Corresponding author

Correspondence to Samar A. Said .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  4. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

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Said, S.A., Salem, S.A., Sayed, S.G. (2018). Energy Aware Mobile Cloud Computing Algorithm for Android Smartphones. In: Hassanien, A., Shaalan, K., Gaber, T., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. AISI 2017. Advances in Intelligent Systems and Computing, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-64861-3_58

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  • DOI: https://doi.org/10.1007/978-3-319-64861-3_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64860-6

  • Online ISBN: 978-3-319-64861-3

  • eBook Packages: EngineeringEngineering (R0)

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