Paper Info
Title
A multi-service differentiation traffic management strategy in SDN cloud data center
Abstract
The cloud computing technology makes services more diverse, and users have different needs for multi-service experience. The operator cloud data centers support more services and users, resulting in a rapid growth in traffic. Consequently, the traditional network architectures and technologies can no longer meet these traffic management requirements. To address this problem, this paper proposes a multi-service differentiated (MSD) traffic management strategy for the operator SDN cloud data center. The MSD traffic management rules and model are designed according to the operational requirements in cloud data centers. Fibonacci tree optimization algorithm (FTO) is improved for matching the MSD model to optimize the differentiated traffic management solutions. An operator SDN cloud data center test platform is established to verify the effectiveness of the strategy. The results show that the MSD-FTO strategy can obtain multiple differentiated traffic management schemes through one single optimization and it outperforms ECMP. In addition, it can properly manage the multi-service traffic and greatly improve the network performance and service experience in cloud data centers.
Year
DOI
Venue
2020
10.1016/j.comnet.2020.107143
Computer Networks
Keywords
Field
DocType
Cloud data centers,Traffic management,Multi-service differentiation,Fibonacci tree optimization (FTO),Multi-modal adaptive optimization
Service experience,Computer science,Cloud data center,Computer network,Network architecture,Optimization algorithm,Management strategy,Operator (computer programming),Cloud computing,Distributed computing,Network performance
Journal
Volume
Issue
ISSN
171
C
1389-1286
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Yaomin Wang100.34
Xiaoying Wang21418.68
Haiyan Li392.50
Yi Dong400.34
Qing Liu542151.42
xinling shi67415.34