期刊
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
卷 33, 期 9, 页码 2198-2212出版社
IEEE COMPUTER SOC
DOI: 10.1109/TPDS.2021.3135955
关键词
Servers; Costs; Resource management; Optimization; Heuristic algorithms; Quality of service; Dynamic scheduling; Cost efficiency; configuration scheme; edge server; mobile edge computing; placement scheme
资金
- National Natural Science Foundation of China [61876061]
- Applied Basic Research Foundation of Yunnan Province [202001BB050034]
- Open Foundation of Key Laboratory in Software Engineering of Yunnan Province [2020SE405]
This paper investigates the joint optimization of configuration and placement for edge servers in the mobile edge computing (MEC) environment. It proposes a two-stage method and a series of algorithms to minimize operational expenditures while maintaining system performance.
Computing resource configuration and site selection of edge servers (ESs) are two critical steps to build up a mobile edge computing (MEC) platform. In this paper, the joint optimization problem of configuration and placement for ES in the MEC environment is investigated. First, we treat each ES as an M/G/m queueing model, and establish mathematical models to characterize the MEC environment, such that the performance and operational expenditures (OPEX) of the system can be calculated analytically. Then, we design a two-stage method and develop a series of algorithms based on bisection algorithm and genetic algorithm (GA) to obtain the optimal configuration scheme and sub-optimal placement scheme (including the deployment quantity) of ESs, with the goal of minimizing OPEX while maintaining system performance at a predetermined level. Finally, we conduct experiments based on a real base station dataset provided by Shanghai Telecom to show the effectiveness of the proposed algorithms. To the best of our knowledge, this work is the first research of the joint optimization problem of configuration and placement for ES in the MEC environment, where the main objective is to increase the cost efficiency.
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