EnergyEfficient Admission of DelaySensitive Tasks for MultiMobile Edge Computing Servers For delaysensitive applications in mobile edge computing (MEC), task admission approach is of vital importance, and there has been a lot of researches in this field. But previous works focus on the situation with only one MEC server that is a simplification of the real world. In multiservers situation, some devices may be within the service range of multiple MEC servers, so that they could choose which MEC server to offload. We formulate this problem to a multiplechoice integer program (MCIP) and utilize Benu0027s genetic algorithm to solve it. The simulation results show that our approach can significantly reduce energy consumption and every task can catch its deadline under almost all experiments.

A MECbased Distributed Offloading Model for Ubiquitous and Timeconstraint Offloading The advancements in mobile hardware and network technologies facilitate the processing power, storage capability, and connection quality. Such developments enable sophistic functions, ubiquitous power and bandwidthhungry applications that fundamentally changes the individualxe2x80x99s lifestyle. Although Cloud Computing technologies have already been leveraged to coordinate with the capability and batteryconstraint mobile User Equipment (UE), the longdistance propagation delay downgrades the network QoS and user QoE. In this paper, we propose a queueingbased Mobile Edge Computing (MEC) model that concerns the offloading procedure, especially in the timeconstraint scenarios. A queueing model is proposed for the offloading process, considering the dynamic network queueing delay. A heuristic scheduling model is designed to maximize the offloading energy and execution efficiency. A regression prediction model is implemented to achieve dynamic resource allocation. In the experiment, the proposed model is compared to the recent studies, and the results indicate that the proposed model can outperform the current studies in terms of execution time and energy reservation.