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Cross-Server Computation Offloading for Multi-Task Mobile Edge Computing

Henan Key Laboratory of E-Commerce Big Data Processing and Analysis, School of Physics and Electronic Information, Luoyang Normal University, Luoyang 471934, China
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Information 2020, 11(2), 96; https://doi.org/10.3390/info11020096
Received: 28 January 2020 / Revised: 28 January 2020 / Accepted: 7 February 2020 / Published: 10 February 2020
As an emerging network architecture and technology, mobile edge computing (MEC) can alleviate the tension between the computation-intensive applications and the resource-constrained mobile devices. However, most available studies on computation offloading in MEC assume that the edge severs host various applications and can cope with all kinds of computation tasks, ignoring limited computing resources and storage capacities of the MEC architecture. To make full use of the available resources deployed on the edge servers, in this paper, we study the cross-server computation offloading problem to realize the collaboration among multiple edge servers for multi-task mobile edge computing, and propose a greedy approximation algorithm as our solution to minimize the overall consumed energy. Numerical results validate that our proposed method can not only give near-optimal solutions with much higher computational efficiency, but also scale well with the growing number of mobile devices and tasks.
Keywords: mobile edge computing; cross-server computation offloading; energy consumption minimization; greedy algorithm mobile edge computing; cross-server computation offloading; energy consumption minimization; greedy algorithm
MDPI and ACS Style

Shi, Y.; Xia, Y.; Gao, Y. Cross-Server Computation Offloading for Multi-Task Mobile Edge Computing. Information 2020, 11, 96.

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