Job Offloading Techniques for Increasing Mobile Cloud Computing's Energy Efficiency

Authors

Keywords:

Job offloading, Data Center, Energy Efficiency, Service Level Agreements (SLA), Mobile Cloud Computing

Abstract

Mobile Cloud Computing (MCC), a new phase in cloud computing technologies, combines the cloud with mobile networks. MCC puts a strong emphasis on quality of service (QoS) and maximizes the utilization of the mobile network's resources to increase network efficiency. The great computational power and scalability of the cloud are utilized by MCC. It also eliminates geographical and temporal limitations, enabling work offloading for mobile users. There is now a wide range of research on mobile cloud computing that aims to use the prevalence of mobile devices for processing in order to get beyond restrictions in computational capability, storage capacity, and internal battery life. In this research, we investigated several job allocation methods for MCC's battery usage and energy efficiency, and we presented a more effective model that takes Service Level Agreement into account (SLA). In summary, computational offloading is a potential strategy for reducing execution time (redeemable energy) and enhancing battery life in mobile devices.

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Basic Architecture of Mobile Cloud Computing System

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Published

16.12.2022

How to Cite

Pandya, N. R. ., & Shah , A. . (2022). Job Offloading Techniques for Increasing Mobile Cloud Computing’s Energy Efficiency. International Journal of Intelligent Systems and Applications in Engineering, 10(4), 327–333. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2266

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Section

Research Article