GDL

Bandwidth Modeling and Estimation in Peer to Peer Networks

2010
Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Kiarash Mizanian , Mehdi Vasef , Morteza Analoui , International Journal of Computer Networks & Communications (IJCNC
Dibuat : 2012-06-23, dengan 1 file

Keyword : Bandwidth Modeling, Peer to Peer networks, Ito calculus, Long Range Dependence, OU process, Maximum Likehood Estimation
Subjek : Bandwidth Modeling and Estimation in Peer to Peer Networks
Url : http://airccse.org/journal/cnc/0510ijcnc06.pdf
Sumber pengambilan dokumen : Internet

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.

Deskripsi Alternatif :

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.

Beri Komentar ?#(0) | Bookmark

Properti	Nilai Properti
ID Publisher	gdlhub
Organisasi	International Journal of Computer Networks & Communications (IJCNC
Nama Kontak	Herti Yani, S.Kom
Alamat	Jln. Jenderal Sudirman
Kota	Jambi
Daerah	Jambi
Negara	Indonesia
Telepon	0741-35095
Fax	0741-35093
E-mail Administrator	elibrarystikom@gmail.com
E-mail CKO	elibrarystikom@gmail.com