Title
Bandwidth Modeling and Estimation in Peer to Peer Networks
Abstract
Recent studies have shown that the majority of today's internet traffic is related to Peer to Peer (P2P) traffic. The study of bandwidth in P2P networks is very important. Because it helps us in more efficient capacity planning and QoS provisioning when we would like to design a large scale computer networks. In this paper motivated by the behavior of peers (sources or seeds) that is modeled by Ornstein Uhlenbeck (OU) process, we propose a model for bandwidth in P2P networks. This model is represented with a stochastic integral. We also model the bandwidth when we have multiple downloads or uploads. The autocovariance structure of bandwidth in either case is studied and the statistical parameters such as mean, variance and autocovariance are obtained. We then study the queue length behavior of the bandwidth model. The methods for generating synthetic bandwidth process and estimation of the bandwidth parameters using maximum likehood estimation are presented.
Year
DOI
Venue
2010
10.5121/ijcnc.2010.2306
International Journal of Computer Networks & Communications
Keywords
Field
DocType
ornstein uhlenbeck,computer network,internet traffic,p2p
Autocovariance,Peer-to-peer,Computer science,Queue,Upload,Computer network,Capacity planning,Bandwidth (signal processing),Dynamic bandwidth allocation,Internet traffic,Distributed computing
Journal
Volume
Issue
ISSN
abs/1005.1
3
International Journal of Computer Networks & Communications 2.3 (2010) 65-83
Citations 
PageRank 
References 
2
0.93
5
Authors
3
Name
Order
Citations
PageRank
Kiarash Mizanian183.06
Mehdi Vasef262.41
Morteza Analoui312424.94