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MobiByte: An Application Development Model for Mobile Cloud Computing

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Abstract

Mobile cloud computing presents an effective solution to overcome smartphone constraints, such as limited computational power, storage, and energy. As the traditional mobile application development models do not support computation offloading, mobile cloud computing requires novel application development models that can facilitate the development of cloud enabled mobile applications. This paper presents a mobile cloud application development model, named MobiByte, to enhance mobile device applications’ performance, energy efficiency, and execution support. MobiByte is a context-aware application model that uses multiple data offloading techniques to support a wide range of applications. The proposed model is validated using prototype applications and detailed results are presented. Moreover, MobiByte is compared with the most recent application models with a conclusion that it outperforms the existing application models in many aspects like energy efficiency, performance, generality, context awareness, and privacy.

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Authors and Affiliations

  1. Department of Computer Science, COMSATS Institute of Information Technology, Abbottabad, Pakistan

    Atta ur Rehman Khan & Abdul Nasir Khan

  2. Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Atta ur Rehman Khan & Mazliza Othman

  3. Department of Computer Science, COMSATS Institute of Information Technology, Lahore, Pakistan

    Shahbaz Akhtar Abid

  4. Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan

    Sajjad Ahmad Madani

Authors
  1. Atta ur Rehman Khan
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  2. Mazliza Othman
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  3. Abdul Nasir Khan
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  4. Shahbaz Akhtar Abid
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  5. Sajjad Ahmad Madani
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Correspondence to Atta ur Rehman Khan.

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Khan, A., Othman, M., Khan, A.N. et al. MobiByte: An Application Development Model for Mobile Cloud Computing. J Grid Computing 13, 605–628 (2015). https://doi.org/10.1007/s10723-015-9335-x

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  • DOI: https://doi.org/10.1007/s10723-015-9335-x

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