Energy Aware Task Assignment with Cost Optimization in Mobile Cloud Computing
Energy Aware Task Assignment with Cost Optimization in Mobile Cloud Computing作者机构：Department of Computer Science in Southeast University Nanjing China
出 版 物：《International Journal of Communications, Network and System Sciences》 (通讯、网络与系统学国际期刊（英文）)
年 卷 期：2018年第11卷第8期
页 面：175-185页
学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统]
主 题：Mobile Cloud Computing Energy-Efficient Task Offloading EETS Mobile Offloading
摘 要：In this paper, we are investigating the power consumption of mobile device while performing offloading system. The offloading system is way in which mobile application can be divided into local and remote execution in order to alleviate the CPU energy consumption. However, existing offloading systems do not consider data transfer communication energy while performing mobile offloading system. They have just focused on mobile CPU energy consumption. In this paper, we are investigating the energy consumption mobile CPU and communication energy collaboratively while performing mobile offloading for complex application. To cope up with the above problem, we have proposed Energy Efficient Task Scheduler (EETS) algorithm, whose aim is to determine optimal tasks execution in offloading system in order to minimize mobile CPU and communication energy. Simulation results show that EETS outperforms as compared to baseline approaches.
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