Abstract
Recently, mobile devices have multiple wireless interfaces to use, but how to choose an appropriate network interface? Energy-efficient data transmission is a key issue in mobile cloud computing due to energy-poverty of the mobile devices. In this paper, we study an energy-delay tradeoff and address the issue of energy-efficient offloading that migrates data-intensive but delay-tolerant applications from the mobile devices to a remote cloud. Through dynamic scheduling and link selection based on Lyapunov optimization for data transmission between the mobile devices and the cloud, we are able to reduce battery consumption of the mobile devices for transferring large volumes of data. We derive a control algorithm which determines when and on which network to transmit data so that energy-cost is minimized by leveraging delay tolerance. Further, we propose and compare three kinds of transmission schedulers with energy-efficient link selection policies under heterogeneous wireless network interfaces (e.g., 3G and WiFi), where the average energy consumption is optimized.
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Wu, H., Wolter, K. (2014). Dynamic Transmission Scheduling and Link Selection in Mobile Cloud Computing. In: Sericola, B., Telek, M., Horváth, G. (eds) Analytical and Stochastic Modeling Techniques and Applications. ASMTA 2014. Lecture Notes in Computer Science, vol 8499. Springer, Cham. https://doi.org/10.1007/978-3-319-08219-6_5
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DOI: https://doi.org/10.1007/978-3-319-08219-6_5
Publisher Name: Springer, Cham
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