Measuring Internet Traffic Research Paper by Nicky

An examination of internet traffic measurement, focusing specifically on how to identify peer-to-peer (P2P) file sharing traffic and P2P television traffic.
# 146322 | 8,401 words | 25 sources | APA | 2010 | US

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This paper focuses on the current and future options in internet traffic measurement, concentrating principally on how to identify peer-to-peer (P2P) file sharing traffic and P2P television traffic. The paper explains that P2P file distribution has rapidly grown in popularity over the past few years, and is now being applied to new developments. Although P2P protocols have traditionally been associated with illegal file sharing, the paper continues, recently developed applications for P2P include its use as a tool to legally distribute TV across the world. The paper discusses the benefits of such a system, which copes with the increased demand for sharing large files much better than conventional client-server networks. The paper's study of focus showed that behavioral methods may be used to monitor and analyze P2P traffic; in particular, packet size for P2P TV traffic is quite unique and lies in a very narrow band. The paper concludes that further research should pursue the use of other behavioral methods in differentiating between P2P file sharing traffic and P2P TV traffic and the development of automated tools for performing this function, as it is likely that there would be numerous commercial applications for such a development. This paper contains illustrative data charts and graphs.

Project Rationale
Aims and Objectives
Literature Review
Peer-to-Peer Computer Networks
Structure of P2P Networks
The Use of Different Structures
Different Classifications of P2P Networks
Advantages of P2P Computer Networks
P2P Traffic Exchange
P2P File Sharing Traffic
P2P File Sharing Traffic Object Size
Identifying P2P Traffic
Characteristics of Measurement
Challenges in Traffic Identification
Methods of Traffic Identification
Port-Based Classification
User Payload Analysis
Signature Based Classification
Flow Connection Patterns
Differentiating Between Signaling and Download Traffic
P2P TV Traffic
Mesh-Pull P2P Architecture
Identifying P2P TV Traffic
Signature-Based Classification
Packet Length Distribution
Bitrate of Video Transfer
Key Definitions
Differentiating Between P2P Traffic and P2P File Sharing Traffic
Study Process
Initial Study Methods
Experimental Environment
Analysis Methods
P2P Protocols Used
Evaluation of the Model
Collection of Trace Data
Collection Method
Results and Discussion
Measurement of Characteristics
Packet Length
Bitrate of Transfer
Evaluation Using Data Traces
General Workload Dimensions
Accuracy of Analysis
Object Size
Duration of Conversation

From the Paper:

"An analysis of the six different P2P protocols was conducted, where the bit rate per second was measured for each. The P2P file sharing protocols were set to download 'hot' files to ensure that they would maintain transfers throughout the entire period over which the bitrate was monitored. This analysis indicated that there was very little notable difference between the all six protocols. There was also little discernable difference between the P2P file sharing protocols and P2P TV protocols. Figure 9 presents an example, in which the green line represents the P2P file sharing bitrate transfer (Gnutella) and the red line represents the P2P TV bitrate transfer (PPLive). This clearly indicates that this measure also would hold not potential for differentiation between the two different types of P2P transfer."

Sample of Sources Used:

  • Bolla, R., Canini, M., Rapuzzi, R. & Sciuto, M. (2008). On the double-faced nature of P2P traffic. 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing: 524-530.
  • Buford, J.F., Yu, H. & Lua, E.K. (2008). P2P Networking and Applications. Morgan Kauffman.
  • Cha, M., Rodriguez, P., Moon, S. & Crowcroft, J. (2008). On next-generation Telco-managed P2P TV architecture. International Workshop on Peer-to-Peer Systems (IPTPS). Retrieved on April 29, 2009, from:
  • Cheng, W.-Q., Gong, J. & Ding, W. (2008). Identifying file-sharing P2P traffic based on traffic characteristics. The Journal of China Universities of Posts and Telecommunications, 15(4): 112-120.
  • Chu, Y., Rao, S.G. & Zhang, H. (2000). A case for end system multicast. Proceedings of ACM SIGMETRICS, 2000: 1-12.

Cite this Research Paper:

APA Format

Measuring Internet Traffic (2010, December 25) Retrieved May 09, 2021, from

MLA Format

"Measuring Internet Traffic" 25 December 2010. Web. 09 May. 2021. <>