Article: Computational offloading framework using caching and cloud service selection in mobile cloud computing Journal: International Journal of Advanced Intelligence Paradigms (IJAIP) 2022 Vol.21 No.3/4 pp.189 - 210 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. Inderscience Publishers - linking academia, business and industry through research

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

Authors: K. Sindhu; H.S. Guruprasad

Addresses: Department of ISE, BMS College of Engineering, Bangalore, India Affiliated to: Visvesvaraya Technological University, India ' Department of ISE, BMS College of Engineering, Bangalore, India Affiliated to: Visvesvaraya Technological University, India

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.

Keywords: mobile; cloud service selection; TOPSIS; offloading; mobile cloud computing; MCC; energy consumption; caching; analytic hierarchy process; AHP; multi-criteria decision analysis; MCDA; mobile device.

DOI: 10.1504/IJAIP.2022.122223

International Journal of Advanced Intelligence Paradigms, 2022 Vol.21 No.3/4, pp.189 - 210

Received: 29 Jun 2021
Accepted: 11 Sep 2021
Published online: 12 Apr 2022 *

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

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