Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


ohiou1176494135.pdf (9.8 MB)

ETD Abstract Container

Abstract Header

Trafgen: An efficient approach to statistically accurate artificial network traffic generation

Helvey, Eric Lee
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176494135

Abstract Details

1998, Master of Science (MS), Ohio University, Electrical Engineering & Computer Science (Engineering and Technology).
As a consequence of the rapid advances in computer and computer networking technologies, the amount of time available to test new protocols has been greatly reduced. This paradox underscores the need for a method to test new protocols in realistic network environments while maintaining network integrity. TrafGen, a statis-tically accurate artificial network traffic generator, can create artificial network traffic that accurately models traffic measured on real networks. This allows researchers to test protocols in "live" environments, as well as environments with highly customized traffic patterns, thus eliminating the need for a particular network environment to occur naturally. TrafGen works using a conversation level model that models traffic at the connection level, rather than the packet level that provides a greater deal of flexibility to the emulator. TrafGen is able to process overall traffic patterns giving it the freedom to create unique traffic based on monitored patterns, and not simply regurgitating observed packet sequences.
Shawn Ostermann (Advisor)
124 p.
TrafGen; Artificial Network Traffic Generator; Traffic Patterns

Recommended Citations

Citations

  • Helvey, E. L. (1998). Trafgen: An efficient approach to statistically accurate artificial network traffic generation [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176494135

    APA Style (7th edition)

  • Helvey, Eric. Trafgen: An efficient approach to statistically accurate artificial network traffic generation. 1998. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176494135.

    MLA Style (8th edition)

  • Helvey, Eric. "Trafgen: An efficient approach to statistically accurate artificial network traffic generation." Master's thesis, Ohio University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1176494135

    Chicago Manual of Style (17th edition)

ohiou1176494135
597
© 1998, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.