Paper Info
Title
Optimization Of Computation Resource For Container-Based Multi-Mec Collaboration System
Abstract
Mobile Edge Computing (MEC) has potential to improve performance of 5G networks in terms of latency and bandwidth. Recently, the architecture of distributed MEC host integrated with 5G networks is proposed by ETIS, providing a new paradigm for implementing edge networks. In this paper, considering the performance optimization and user mobility in edge networks, Docker container is applied to MEC host to form a container-based multi-MEC collaboration system (CMMCS) so that it can optimize computation resources among MEC hosts while guaranteeing QoS. Then the resource allocation optimization is formulated to the system cost minimization and the general pattern of virtual machine resource consumption is considered. After that, we prove that the system cost minimization problem is an NP-hard problem, and a DABF scheme based container deployment algorithm is proposed to figure out the optimal solution. Simulation results demonstrate that our proposed algorithm achieves significant reduction on system cost in CMMCS compared to other baselines in any network environment.
Year
DOI
Venue
2019
10.1109/PIMRC.2019.8904178
PIMRC
Keywords
Field
DocType
Mobile Edge Computing, 5G, Docker container, computation resource allocation
Computer science,Computer network,Distributed computing,Computation
Conference
ISSN
Citations 
PageRank 
2166-9570
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Tao Jin100.34
Wei Zheng234230.46
Xiangming Wen361882.20
Chen Xin4625120.92
Luhan Wang5147.76