Li, Peifeng, Luo, Yuansheng, Wang, Kezhi and Yang, Kun (2018) Energy Minimization and Offloading Number Maximization in Wireless Mobile Edge Computing. In: Globecom 2018 - IEEE Global Communications Conference, 9th - 13th December 2018, Abu Dhabi, UAE.
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Li et al - Energy Minimization and Offloading Number Maximization in Wireless Mobile Edge Computing AAM.pdf - Accepted Version Download (212kB) | Preview |
Abstract
With the fast development of mobile edge computing (MEC), user equipments (UEs) can enjoy much higher experience than before by offloading the tasks to its close edge cloud. In this paper, we assume there are several edge clouds, each of which has limited resource. We aim to maximize the number of offloaded tasks and minimize the energy consumption of all the UEs and edge clouds, by selecting the best edge cloud for each UE to offload. We formulate the problem as a mixed-integer non-convex optimization, which is difficult to solve in general. By transforming this problem into a minimum-cost maximum-flow (MCMF) problem, we can solve it efficiently. The simulation shows that our proposed algorithm has better performance and lower complexity than the conventional solutions.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Energy Minimization; Offloading Number Maximization; Mobile Edge Computing; Minimum-Cost-Maximum-Flow |
| Subjects: | G400 Computer Science H600 Electronic and Electrical Engineering |
| Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
| Related URLs: | |
| Depositing User: | Paul Burns |
| Date Deposited: | 20 Sep 2018 16:42 |
| Last Modified: | 01 Aug 2021 12:01 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/35840 |
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