Title
Novel adaptive virtual network embedding algorithm for Cloud's private backbone network.
Abstract
In this paper, we study the adaptive virtual network embedding problem within Cloud's backbone. The main idea is to take profit from the unused bandwidth but allocated to virtual networks. Consequently, the acceptance rate of new clients will be maximized. However, the congestion rate of virtual links must be minimized in order to maximize the satisfaction of end-users. To do so, first we formulate the problem as K-supplier optimization problem. Then, we propose a novel virtual network embedding strategy denoted by Adaptive-VNE. It is based on the approximation-algorithm for bottleneck problems and backtracking strategy. The proposal is validated by simulations and experimental testbed. The results obtained show that Adaptive-VNE outperforms the most prominent strategies and reaches a good performance.
Year
DOI
Venue
2016
10.1016/j.comcom.2016.03.019
Computer Communications
Keywords
Field
DocType
Cloud computing,NaaS,Service provisioning,Optimization,K-supplier algorithm
Bottleneck,Computer science,Testbed,Computer network,Bandwidth (signal processing),Virtual network embedding,Backtracking,Backbone network,Optimization problem,Cloud computing,Distributed computing
Journal
Volume
Issue
ISSN
84
C
0140-3664
Citations 
PageRank 
References 
1
0.35
14
Authors
4
Name
Order
Citations
PageRank
Ilhem Fajjari117120.01
Nadjib Aitsaadi231928.22
Boutheina Dab3103.57
Guy Pujolle42015267.64