Paper Info
Title
Improving Bandwidth Efficiency and fairness in cloud computing
Abstract
Bandwidth is a key resource in cloud networks. Every tenant wants to be assigned the bandwidth which is proportional to the price they have paid. At the cloud vender side, the link bandwidth utilization could be enhanced to support more clients. In this paper, we show that the traditional PS-N (Proportional Sharing at Network level) bandwidth allocation algorithm cannot achieve the network proportionality fairness when the network is over-subscribed. PPSN (Persistence Proportional Sharing at Network level) is proposed to solve the unfairness issue. However, the bandwidth utilization of both algorithms is not good enough to meet venders' demands. BEPPS-N (Bandwidth Efficiency Persistence Proportional Sharing at Network level) is thus proposed to enhance the bandwidth utilization by assigning more bandwidth to the communication pairs that are not passing through bottleneck links, and at the same time, keep proportionality fairness per different tenant. Finally, simulations and performance analysis have been conducted to substantiate the viability of our proposed approach.
Year
DOI
Venue
2013
10.1109/GLOCOM.2013.6831419
GLOBECOM
Keywords
Field
DocType
cloud networks,bandwidth efficiency,network proportionality,fairness,bepps-n,bandwidth efficiency persistence proportional sharing at network level,bandwidth utilization,cloud vender side,high utilization,proportional sharing at network level,bandwidth allocation algorithm,cloud computing,ps-n,channel allocation,algorithm design and analysis,next generation networking,bandwidth,resource management,network topology
Computer science,Computer network,Network topology,Real-time computing,Bandwidth (signal processing),Dynamic bandwidth allocation,Spectral efficiency,Network traffic control,Channel allocation schemes,Bandwidth throttling,Bandwidth management,Distributed computing
Conference
ISSN
Citations 
PageRank 
2334-0983
5
0.44
References 
Authors
9
2
Name
Order
Citations
PageRank
Xiang Sun111210.35
Nirwan Ansari24667357.64