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Title	Joint Offloading And Frequency Scaling Technology For Mobile Edge Computing
ID_Doc	34383
Authors	Liang J.; Liu C.; Tan G.; Yang L.
Year	2019
Published	Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019
DOI	http://dx.doi.org/10.1109/HPCC/SmartCity/DSS.2019.00283
Abstract	Mobile-edge computing (MEC) is a prominent technique to support computation-intensive tasks for mobile devices. Currently, almost all works on MEC offloading focus on independent tasks, and most works involve MEC center with only one powerful server. However, actually, there are usually precedence constraints among tasks and a MEC center is equipped with multiple heterogeneous servers. In this paper, we refer to a makespan minimization problem for tasks offloading with precedence constraints in MEC system. The problem is NP hard. To address such a problem, we propose a joint scheduling algorithm that consists of two sub-algorithms optimization, i.e., task offloading scheduling and execution frequency selection. Finally, we conduct some experiments. The results demonstrate the capability of the proposed algorithms in achieving a smaller makespan compared to several other common algorithms in scheduling literature. © 2019 IEEE.
Author Keywords	computation offloading; dynamic voltage and frequency scaling; makespan; mobile edge computing; task scheduling

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