AGILE: A terminal energy efficient scheduling method in mobile cloud computing. Issue 12 (14th July 2015)

• Record Type: Journal Article
• Authors: Chen, Chao; Bao, Weidong; Zhu, Xiaomin; Ji, Haoran; Xiao, Wenhua; Wu, Jianhong
• Is Part Of: Transactions on emerging telecommunications technologies. Volume 26:Issue 12(2015)
• Page Start: 1323
• Page End: 1336
• Publication Date: 2015-07-14
• Subjects: Telecommunication -- Periodicals; 384.05
• DOI: 10.1002/ett.2967
• Languages: English
• ISSNs: 2161-5748

Abstract

Abstract: With the development of mobile telecommunication technology, mobile phones have become a necessary tool in daily life and provided us many conveniences. Meanwhile, the huge number of cell phones constitute a potential high performance data processing system, called mobile cloud computing, to strengthen capacity for individual devices. Many researchers have studied about the architectures and scheduling algorithms of mobile cloud computing. However, little work has been performed about how to schedule mobile application tasks in data centers to extend battery life for mobile terminals. To address this issue, we investigate agent models, mobile energy consumption models and data transmission models under different connection environments. Based on which, we propose a novel terminal energy efficient scheduling method (AGILE for short). AGILE compares energy consumption in cloud execution and mobile execution according to the actual wireless environment, then makes energy‐efficient decisions. Extensive experiments are conducted to evaluate the performance of the AGILE under different wireless channels, and the performance impact on different parameters are studied. The experimental results indicate that the proposed method can save mobile devices' energy effectively. Copyright © 2015 John Wiley & Sons, Ltd. Abstract : In this article, we proposed a novel terminal energy efficient method (AGILE) to extend mobile devices' battery life in mobile cloud computing environment. Extensive experiments show that the proposed AGILE can efficiently save mobile devices' energy in mobile cloud computing environment and it can perform stably when the parameter changes.