Abstract

Considered as the key application of mobile edge computing (MEC), computation offloading emerges as a technology necessary to offload data for computation at an edge cloud. MEC is evolving as a promising technique susceptible to support resource constraint devices and delay sensitive applications, by delivering computing services nearby mobile users. Nevertheless, many studies have shown that latency remains one of the major challenges in MEC networks. However, in this paper, we propose to solve the latency challenge in mobile edge computing by developing the channel allocation-based demand assignment protocol for computation offloading (DAP-CO), and to tackle the server selection problem in a multi-edge server network so that to minimize the execution costs generated by mobile applications computation. The results of our simulations made in Matlab, showed that our proposed scheme can drastically decrease the energy consumption of intensive mobile application workload and speed up the execution of real time applications.

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