Study on Program Partitioning and Data Protection in Computation Offloading


KIPS Transactions on Software and Data Engineering, Vol. 9, No. 11, pp. 377-386, Nov. 2020
https://doi.org/10.3745/KTSDE.2020.9.11.377,   PDF Download:
Keywords: Code Offloading, Program Partitioning, Static Analysis, data protection, Mobile Cloud Computing
Abstract

Mobile cloud computing involves mobile or embedded devices as clients, and features small devices with constrained resource and low availability. Due to the fast expansion of smart phones and smart peripheral devices, researches on mobile cloud computing attract academia’s interest more than ever. Computation offloading, or code offloading, enhances the performance of computation by migrating a part of computation of a mobile system to nearby cloud servers with more computational resources through wired or wireless networks. Code offloading is considered as one of the best approaches overcoming the limited resources of mobile systems. In this paper, we analyze the factors and the performance of code offloading, especially focusing on static program partitioning and data protection. We survey state-of-the-art researches on analyzed topics. We also describe directions for future research.


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Cite this article
[IEEE Style]
E. Lee and S. Pak, "Study on Program Partitioning and Data Protection in Computation Offloading," KIPS Transactions on Software and Data Engineering, vol. 9, no. 11, pp. 377-386, 2020. DOI: https://doi.org/10.3745/KTSDE.2020.9.11.377.

[ACM Style]
Eunyoung Lee and Suehee Pak. 2020. Study on Program Partitioning and Data Protection in Computation Offloading. KIPS Transactions on Software and Data Engineering, 9, 11, (2020), 377-386. DOI: https://doi.org/10.3745/KTSDE.2020.9.11.377.