 FlowVisor‐based cost‐aware VN embedding in OpenFlow networksXuxia Zhong, Ying Wang, Xuesong Qiu and Wenjing Li International Journal of Network Management, 2016, vol. 26, issue 5, 373-395 Abstract: Software‐defined network has emerged as a promising network technology to simplify the network management and enable innovation through network programmability. With the help of FlowVisor, network virtualization is achieved in software‐defined networks. We mainly focus on investigating how to embed virtual network requests with different network sizes (small, regular, and large) in a cost‐efficient way. However, the features of FlowVisor and limitations of OpenFlow switches, such as the presence of a central controller, the limited flow space resource, and the out‐of‐band bandwidth requirement, bring new challenges. In this paper, we first formulate the FlowVisor‐enabled cost‐aware virtual network embedding issue as an integer linear programming problem. Then, we propose two embedding algorithms: a heuristic algorithm LF‐OVNE and a meta‐heuristic algorithm CA‐CVNC‐EPSO. Meanwhile, a separate step is taken to select a cost‐aware controller for each slice. Finally, we evaluate our algorithms and compare the embedding performance with the existing algorithms. The simulation results show that our algorithms perform the online virtual network embedding in a more cost‐efficient way. Copyright © 2016 John Wiley & Sons, Ltd. Date: 2016 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:wly:intnem:v:26:y:2016:i:5:p:373-395 Access Statistics for this article More articles in International Journal of Network Management from John Wiley & Sons |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.