Energy efficient network service deployment across multiple SDN domains

被引:15
|
作者
Zhang, Chuangchuang [2 ]
Wang, Xingwei [1 ,2 ]
Dong, Anwei [2 ]
Zhao, Yong [2 ]
He, Qiang [2 ]
Huang, Min [1 ,3 ]
机构
[1] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China
[2] Northeastern Univ, Coll Comp Sci & Engn, Shenyang 110819, Peoples R China
[3] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
基金
中国国家自然科学基金;
关键词
Network service deployment; Multiple SDN domains; Energy saving; Load balancing; FUNCTION PLACEMENT; DYNAMIC PLACEMENT; CHAIN DEPLOYMENT; OPTIMIZATION; COST; PERFORMANCE;
D O I
10.1016/j.comcom.2020.01.019
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The emergence of Software Defined Networking (SDN) and Network Function Virtualization (NFV) enables flexible service provisioning and deployment. However, with the continuous expansion of network scale and sharp increasing of end users, how to flexibly provide network services across multiple SDN domains for users is becoming a critical issue. A major challenge in the multi-domain network service provisioning is the network service deployment method taking into account energy efficiency. In this paper, we study the problem of how to optimally deploy network services across multiple SDN domains with the target of saving energy while achieving the load balancing of multi-domain networks. Specifically, firstly, we propose a novel multi-domain network service deployment framework by integrating SDN architecture and NFV technology, which can intelligently deploy virtual network functions (VNFs) into multi-domain networks. Secondly, we formulate this problem as a multi-objective optimization model to achieve the minimization of energy consumption and load balancing of multi-domain networks. Furthermore, we present a heuristic network service deployment algorithm to solve it. Finally, simulation results demonstrate that the proposed heuristic service deployment algorithm is efficient and outperforms comparison algorithms in terms of energy consumption and load balancing degree.
引用
收藏
页码:449 / 462
页数:14
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