Paper Info
Title
Forecast-Assisted NFV Service Chain Deployment Based on Affiliation-Aware vNF Placement.
Abstract
This paper studies the problem of service chain (SC) deployment. Specifically, we try to place virtual network functions (vNFs) on network nodes and connect the vNFs in sequence through link mapping. We start with the offline problem. An integer linear programming (ILP) model is formulated to minimize the total SC deployment cost. With the ILP, we prove that the offline problem is NP-hard and propose a time-efficient heuristic based on affiliation-aware vNF placement. Then, we move to the online problem, and design a forecast-assisted online SC deployment algorithm that includes the prediction of future vNF requirements. Simulation results show that the online algorithms can reduce the blocking probability of SC requests and increase the service provider's profit from SC deployment effectively.
Year
Venue
Keywords
2016
IEEE Global Communications Conference
Network Function Virtualization,Service Chain Deployment,vNF Placement,Link Mapping,Forecast
Field
DocType
ISSN
Virtual network,Online algorithm,Approximation algorithm,Heuristic,Software deployment,Computer science,Computer network,Node (networking),Service provider,Real-time computing,Integer programming,Distributed computing
Conference
2334-0983
Citations 
PageRank 
References 
2
0.35
0
Authors
4
Name
Order
Citations
PageRank
Quanying Sun1262.90
Ping Lu2746.09
Wei Lu316716.48
Zuqing Zhu456673.36