Adaptive Application Offloading Decision and Transmission Scheduling for Mobile Cloud Computing  

作　　者：Junyi Wang Jie Peng Yanheng Wei Didi Liu Jielin Fu 

机构地区：[1]Guangxi Key Lab of Wireless Wideband Communication & Signal Processing, Guilin 541004, China [2]Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200000, China [3]School of Telecommunication Engineering Xi'an University, Xi'an 710049, China [4]Sci. and Tech. on Info. Transmission and Dissemination in Communication Networks Lab., Shijiazhuang 050000, China

出　　处：《China Communications》2017年第3期169-181,共13页中国通信（英文版）

基　　金：supported by National Natural Science Foundation of China (Grant No.61261017, No.61571143 and No.61561014);Guangxi Natural Science Foundation (2013GXNSFAA019334 and 2014GXNSFAA118387);Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (No.CRKL150112);Guangxi Key Lab of Wireless Wideband Communication & Signal Processing (GXKL0614202, GXKL0614101 and GXKL061501);Sci.and Tech.on Info.Transmission and Dissemination in Communication Networks Lab (No.ITD-U14008/KX142600015);Graduate Student Research Innovation Project of Guilin University of Electronic Technology (YJCXS201523)

摘　　要：Offloading application to cloud can augment mobile devices' computation capabilities for the emerging resource-hungry mobile application, however it can also consume both much time and energy for mobile device offloading application remotely to cloud. In this paper, we develop a newly adaptive application offloading decision-transmission scheduling scheme which can solve above problem efficiently. Specifically, we first propose an adaptive application offloading model which allows multiple target clouds coexisting. Second, based on Lyapunov optimization theory, a low complexity adaptive offloading decision-transmission scheduling scheme has been proposed. And the performance analysis is also given. Finally, simulation results show that,compared with that all applications are executed locally, mobile device can save 68.557% average execution time and 67.095% average energy consumption under situations.Offloading application to cloud can augment mobile devices＇ computation capabilities for the emerging resource-hungry mobile application, however it can also consume both much time and energy for mobile device offloading application remotely to cloud. In this paper, we develop a newly adaptive application offloading decision-transmission scheduling scheme which can solve above problem efficiently. Specifically, we first propose an adaptive application offloading model which allows multiple target clouds coexisting. Second, based on Lyapunov optimization theory, a low complexity adaptive offloading decision-transmission scheduling scheme has been proposed. And the performance analysis is also given. Finally, simulation results show that,compared with that all applications are executed locally, mobile device can save 68.557% average execution time and 67.095% average energy consumption under situations.

关 键 词：mobile cloud computing application offloading decision transmission scheduling scheme Lyapunov optimization 

分 类 号：TN929.5[电子电信—通信与信息系统] TP3[电子电信—信息与通信工程]