文章基本信息

标题：Energy Efficient Computing for Smart Phones in Cloud Assisted Environment
本地全文：下载
作者：Nancy Arya Sunita Choudhary ; S.Taruna
期刊名称：International Journal of Computer Networks & Communications
印刷版ISSN：0975-2293
电子版ISSN：0974-9322
出版年度：2019
卷号：11
期号：5
页码：1-20
DOI：10.5121/ijcnc.2019.11504
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In recent years, the employment of smart mobile phones has increased enormously and are concerned as an area of human life. Smartphones are capable to support immense range of complicated and intensive applications results shortened power capability and fewer performance. Mobile cloud computing is the newly rising paradigm integrates the features of cloud computing and mobile computing to beat the constraints of mobile devices. Mobile cloud computing employs computational offloading that migrates the computations from mobile devices to remote servers. In this paper, a novel model is proposed for dynamic task offloading to attain the energy optimization and better performance for mobile applications in the cloud environment. The paper proposed an optimum offloading algorithm by introducing new criteria such as benchmarking for offloading decision making. It also supports the concept of partitioning to divide the computing problem into various sub-problems. These sub-problems can be executed parallelly on mobile device and cloud. Performance evaluation results proved that the proposed model can reduce around 20% to 53% energy for low complexity problems and up to 98% for high complexity problems..
关键词：Mobile Cloud Computing; Mobile Computing; Computational Offloading; Dynamic Task Offloading;Energy Optimization.