To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org

1. GLOBALSOFT TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmai l.com
A model approach to estimate Peer-to-Peer traffic matrices
Peer-to-Peer (P2P) applications have become increasingly popular in recent few years, which
bring new challenges to network management and traffic engineering (TE). As basic input
information, P2P traffic matrices are of significant importance for TE. Due to excessively high
cost of direct measurement, a lot of studies aim at modeling and estimating general traffic
matrices, but few focus on P2P traffic matrices. In this paper, we proposed a model to estimate
P2P traffic matrices in networks. Important factors are considered, including the number of
peers, the localization ratio of P2P traffic, and the distances among different networks. Here
distance can be hop counts or geographic distance accordingly. To validate our model, we have
evaluated the performance using both real P2P live steaming traces and file sharing application
traces. Evaluation results show that the proposed model outperforms the other two typical
models for general traffic matrices estimation, in terms of estimate errors. To the best of our
knowledge, this is the first research on P2P traffic matrices estimation. P2P traffic matrices,
derived from the model, can be applied to P2P traffic optimization and other TE fields.
Existing System
Peer-to-Peer (P2P) applications have become increasingly popular in recent few years, which
bring new challenges to network management and traffic engineering (TE). As basic input
information, P2P traffic matrices are of significant importance for TE. Due to excessively high

2. cost of direct measurement, a lot of studies aim at modeling and estimating general traffic
matrices, but few focus on P2P traffic matrices.
Proposed System
In this paper, we proposed a model to estimate P2P traffic matrices in networks. Important
factors are considered, including the number of peers, the localization ratio of P2P traffic, and
the distances among different networks. Here distance can be hop counts or geographic distance
accordingly. To validate our model, we have evaluated the performance using both real P2P live
steaming traces and file sharing application traces. Evaluation results show that the proposed
model outperforms the other two typical models for general traffic matrices estimation, in terms
of estimate errors. To the best of our knowledge, this is the first research on P2P traffic matrices
estimation. P2P traffic matrices, derived from the model, can be applied to P2P traffic
optimization and other TE fields.
System Specification
Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 14’ Colour Monitor.
• Mouse : Optical Mouse.
• Ram : 512 Mb.
Software Requirements:
• Operating system : Windows 7.
• Coding Language : ASP.Net with C#

3. • Data Base : SQL Server 2008.