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Home»Articles»Robust and Secure Framework for Mobile Cloud Computing

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Asian Journal of Computer Science and Technology (AJCST)

Editor Dr. K. Ganesh
Print ISSN : 2249-0701
Frequency : Quarterly

Robust and Secure Framework for Mobile Cloud Computing

Author : Pallavi Alava and G. Radhika
Volume 8 No.3 Special Issue:June 2019 pp 1-6

Abstract

Smartphone devices are widely utilized in our daily lives. However, these devices exhibit limitations, like short battery lifetime, limited computation power, small memory size and unpredictable network connectivity. Therefore, various solutions have been projected to mitigate these limitations and extend the battery period of time with the employment of the offloading technique. In this paper, a unique framework is projected to offload intensive computation tasks from the mobile device to the cloud. This framework uses Associate in Nursing improvement model to work out the offloading decision dynamically supported four main parameters, namely, energy consumption, CPU utilization, execution time, and memory usage. Additionally, a new security layer is provided to shield the transferred data within the cloud from any attack. The experimental results showed that the framework will choose an acceptable offloading decision for various forms of mobile application tasks whereas achieving important performance improvement. Moreover, different from previous techniques, the framework will defend application knowledge from any threat.

Keywords

Mobile Cloud Computing, Smartphone Devices, Security, Computation Offloading

Full Text:

References

[1] N. Vallina-Rodriguez and J. Crowcroft, “Energy management techniques in modern mobile handsets,” IEEE Communications Surveys & Tutorials, Vol.15, No.1, pp. 179–198, 2013.
[2] G. Motta, N. S. Fondrini, and D. Sacco, “Cloud computing: An architectural and technological overview”,International Joint Conference on Service Sciences,Vol. 3, pp. 23–27, 2012.
[3] A.U.R. Khan, M.Othman, S.A. Madani, and S.U. Khan, “A survey of mobile cloud computing application models”, IEEE Communications Surveys & Tutorials, Vol.16, No.1, pp. 393–413, 2014.
[4] M. Shiraz, A. Gani, R.H. Khokhar, and R. Buyya, “A review on distributed application processing frameworks in smart mobile devices for mobile cloud computing,” IEEE Communications Surveys & Tutorials, Vol.15, No.3,pp. 1294–1313, 2013.
[5] R. Kemp, N. Palmer, T. Kielmann, and H. Bal, “Cuckoo: A computation offloading framework for Smartphone’s”, International Conference on Mobile Computing, Applications,Vol.76, pp. 59–79, 2010.
[6] F. Xia, F. Ding, J. Li, X.Kong, L.T. Yang, and J.Ma, “Phone2cloud: Exploiting computation offloading for energy saving on Smartphone’s in mobile cloud computing,” Information Systems Frontiers, Vol.16, No.1, pp. 95–111, 2014.
[7] W. Zhang, Y. Wen, K. Guan, K. Dan, H. Luo, and D.O. Wu, “Energy-optimal mobile cloud computing under stochastic wireless channel,” IEEE Transactions on Wireless Communications, Vol.12, No.9, pp. 4569–4581, 2013.
[8] M. Shiraz and A.Gani, “A lightweight active service migration framework for computational offloading in mobile cloud computing,” Journal of Super computing, Vol. 68, No. 2, pp. 978–995, 2014.
[9] Shiraz, A. Gani, A. Shamim, S.Khan, and R.W. Ahmad, “Energy efficient computational offloading framework for mobile cloud computing,” Journal of Grid Computing, Vol.13, No.1, pp. 1–18, 2015.
[10] W.Z. Zhang, H.C. Xie, and C.H. Hsu, “Automatic memory control of multiple virtual machines on a consolidated server,” IEEE Transactions on Cloud Computing, vol.5, no.1, pp. 2–14, 2017.
[11] Y. Li, M. Chen, W. Dai, and M. Qiu, “Energy optimization with dynamic task scheduling mobile cloud computing,” IEEE Systems Journal, No.99, pp. 1–10, 2017.
[12] J. Toldinas, R. Damasevicius, A. Venckauskas, T. Blazauskas, and J. Ceponis, “Energy consumption of cryptographic algorithms in mobile devices”, ElektronikaIrElektrotechnika, Vol. 20, No.5, pp. 158–161, 2014.

Asian Journal of Computer Science and Technology is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and research papers covering all aspects of future computer and Information Technology areas. Topics include, but are not limited to:

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Smartphone devices are widely utilized in our daily lives. However, these devices exhibit limitations, like short battery lifetime, limited computation power, small memory size and unpredictable network connectivity. Therefore, various solutions have been projected to mitigate these limitations and extend the battery period of time with the employment of the offloading technique. In this paper, a unique framework is projected to offload intensive computation tasks from the mobile device to the cloud. This framework uses Associate in Nursing improvement model to work out the offloading decision dynamically supported four main parameters, namely, energy consumption, CPU utilization, execution time, and memory usage. Additionally, a new security layer is provided to shield the transferred data within the cloud from any attack. The experimental results showed that the framework will choose an acceptable offloading decision for various forms of mobile application tasks whereas achieving important performance improvement. Moreover, different from previous techniques, the framework will defend application knowledge from any threat.

Editor-in-Chief
Dr. K. Ganesh
Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
Expert at McKinsey and Company, India
[email protected]
Editorial Advisory Board
Dr. Eng. Hamid Ali Abed AL-Asadi
Department of Computer Science, Basra University, Iraq
[email protected]
Dr. Norjihan Binti Abdul Ghani
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Christos Bouras
Department of Computer Engineering & Informatics, University of Patras, Greece
[email protected]
Dr. Maizatul Akmar Binti Ismail
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Harold Castro
Department of Systems Engineering and Computing, University of the Andes, Colombia
[email protected]
Dr. Busyairah Binti Syd Ali
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. Sri Devi Ravana
Department of Information system, University of Malaya, Malaysia
[email protected]
Dr. Karpaga Selvi Subramanian
Department of Computer Engineering, Mekelle University, Ethiopia
[email protected]
Dr. Mazliza Binti Othman
Department of Computer System & Technology, University of Malaya, Malaysia
[email protected]
Dr. Chiam Yin Kia
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. OUH Eng Lieh
Department of Information Systems, Singapore Management University, Singapore
[email protected]

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    Editorial Note

    Editorial Dr. K. Ganesh

    Editor-in-Chief
    Dr. K. Ganesh
    Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
    Expert at McKinsey and Company, India
    [email protected]
    Editorial Advisory Board
    Dr. Eng. Hamid Ali Abed AL-Asadi
    Department of Computer Science, Basra University, Iraq
    [email protected]
    Dr. Norjihan Binti Abdul Ghani
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Christos Bouras
    Department of Computer Engineering & Informatics, University of Patras, Greece
    [email protected]
    Dr. Maizatul Akmar Binti Ismail
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Harold Castro
    Department of Systems Engineering and Computing, University of the Andes, Colombia
    [email protected]
    Dr. Busyairah Binti Syd Ali
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Sri Devi Ravana
    Department of Information system, University of Malaya, Malaysia
    [email protected]
    Dr. Karpaga Selvi Subramanian
    Department of Computer Engineering, Mekelle University, Ethiopia
    [email protected]
    Dr. Mazliza Binti Othman
    Department of Computer System & Technology, University of Malaya, Malaysia
    [email protected]
    Dr. Chiam Yin Kia
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. OUH Eng Lieh
    Department of Information Systems, Singapore Management University, Singapore
    [email protected]

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