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An Availability-Enhanced Service Function Chain Placement Scheme in Network Function Virtualization

1,* and 1,2
1
Department of Informatics, The University of Electro-Communications, Chofu 182-8585, Japan
2
Network Science and Convergence Device Tech Lab, National Institute of Information and Communications Technology, Koganei 184-8795, Japan
*
Author to whom correspondence should be addressed.
J. Sens. Actuator Netw. 2019, 8(2), 34; https://doi.org/10.3390/jsan8020034
Received: 26 April 2019 / Revised: 5 June 2019 / Accepted: 12 June 2019 / Published: 14 June 2019
(This article belongs to the Special Issue Trends, Issues and Challenges toward 5G and beyond)
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Abstract

A service function chain (SFC) is an ordered virtual network function (VNF) chain for processing traffic flows to deliver end-to-end network services in a virtual networking environment. A challenging problem for an SFC in this context is to determine where to deploy VNFs and how to route traffic between VNFs of an SFC on a substrate network. In this paper, we formulate an SFC placement problem as an integer linear programing (ILP) model, and propose an availability-enhanced VNF placing scheme based on the layered graphs approach. To improve the availability of SFC deployment, our scheme distributes VNFs of an SFC to multiple substrate nodes to avoid a single point of failure. We conduct numerical analysis and computer simulation to validate the feasibility of our SFC scheme. The results show that the proposed scheme outperforms well in different network scenarios in terms of end-to-end delay of the SFC and computation time cost. View Full-Text
Keywords: service function chain; network function virtualization; software-defined networking; resource management; network management service function chain; network function virtualization; software-defined networking; resource management; network management
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Xu, Y.; Kafle, V.P. An Availability-Enhanced Service Function Chain Placement Scheme in Network Function Virtualization. J. Sens. Actuator Netw. 2019, 8, 34.

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