Computational offloading framework using caching and cloud service selection in mobile cloud computing.

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Authors: K. Sindhu and H.S. Guruprasad
Date: Apr. 11, 2022
Publisher: Inderscience Publishers Ltd.
Document Type: Brief article
Length: 155 words

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Abstract :

Execution of resource constrained applications on mobile devices is still a challenging task due to limited resources of mobile devices like processing speed, battery-power and network bandwidth. Mobile cloud computing enables mobile devices to execute the resource intensive tasks with the help of cloud servers. In this paper, we have implemented a computational offloading framework to offload resource intensive task of an application onto the cloud server. A caching scheme is proposed to further reduce the latency of execution and battery-power consumption of mobile devices. Multi criteria decision analysis methods are used to select the optimal cloud considering four cloud servers located at different regions. The results indicate a performance increase of 99% in execution time and 97% in energy consumption using the caching scheme and 92% in execution time and 90% in energy consumption using offloading on cloud server compared to execution on mobile device for the proposed application. Byline: K. Sindhu, H.S. Guruprasad

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Gale Document Number: GALE|A700299507