Energy-efficient admission of delay-sensitive tasks for multi-mobile edge computing servers

J Wang, Y Yue, R Wang, M Yu, J Yu… - 2019 IEEE 25th …, 2019 - ieeexplore.ieee.org
J Wang, Y Yue, R Wang, M Yu, J Yu, H Liu, X Ying, R Yu
2019 IEEE 25th International conference on parallel and …, 2019ieeexplore.ieee.org
For delay-sensitive 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
multi-servers 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 multiple-choice integer program (MCIP) and utilize Ben's genetic algorithm to solve it. The …
For delay-sensitive 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 multi-servers 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 multiple-choice integer program (MCIP) and utilize Ben's 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.
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