Analysis of peer-to-peer (P2P) swarming content delivery systems / Akmarul Nizam Zainudin

Zainudin, Akmarul Nizam (2007) Analysis of peer-to-peer (P2P) swarming content delivery systems / Akmarul Nizam Zainudin. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Due to the high cost of a Content Distribution Network, most Internet users are not able to scalably deliver content to large audiences. In this paper present a study swarming, a scalable and economic content delivery mechanism that combines peer-to-peer networking with parallel download. First, it is define a swarming architecture that generalizes the basic delivery mechanism in popular swarming protocols such as Gnutella [7] and BitTorrent [l]. That can conduct a comprehensive performance study of swarming delivery, using a variety of workloads. The results show that swarming scales with offered load up to several orders of magnitude beyond what a basic web server can manage. Most impressively, swarming enables a web server. The outcomes of the project are to illustrate the benefits and limitations of a basic swarming protocol and to identify several key opportunities for performance improvements on the system that has been analysed. The analysis for P2P swarming is performed using software OMNeT++. [2]

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Zainudin, Akmarul Nizam
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Ab Rahman, Ruhani
UNSPECIFIED
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Electrical Engineering (Hons)
Keywords: Content distribution, analysis P2P, network communication
Date: 2007
URI: https://ir.uitm.edu.my/id/eprint/81054
Edit Item
Edit Item

Download

[thumbnail of 81054.pdf] Text
81054.pdf

Download (158kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

81054

Indexing

Statistic

Statistic details