Campus Event Calendar
Event Entry
New for: D1, D2, D3, D4, D5
What and Who
Demystifying Internet Traffic
Kashi Vishwanath
University of California, San Diego
SWS Colloquium
Kashi V. Vishwanath received his B.Tech. from the Indian Institute of Technology, Bombay in Computer Science in 2001. He
will receive his PhD under the supervision of Prof. Amin Vahdat from the University of California, San Diego in June
2008. Kashi's main research interests are in systems and networking with an emphasis on enabling testing and validation
of large-scale systems and networked services in laboratory settings. He received the best student paper award at ACM
SIGCOMM 2007.
Kashi Vishwanath is a faculty candidate.
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, RG2
Expert Audience
English
Note: We use this to send email in the morning.
Date, Time and Location
Wednesday, 9 April 2008
14:00
60 Minutes
E1 5
019
Saarbrücken
Abstract
The Internet has seen a tremendous growth since its inception four decades ago. With its increasing importance, there
has been a growing emphasis on improving the reliability of the infrastructure. One approach to delivering such
reliability is for design engineers, network administrators and researchers to stress test potential solutions against a
wide variety of deployment scenarios. For instance, web hosting services would wish to ensure that they can deliver
target levels of performance and availability under a range of conditions. Similarly, Internet Service Providers (ISPs)
would benefit from understanding future growth in traffic demands at individual routers in its network as a function of
emerging applications and expanding user base.
I argue that one of the key ingredients required to carry out such studies is a deep understanding of Internet traffic
characteristics. This talk will try to uncover some of the mysteries surrounding Internet traffic, including its rich
structure. I will thus describe the principles and key insights that led to the development of the Swing traffic
generator. Swing is the first tool to reproduce realistic and responsive Internet-like traffic in a testbed. Starting
from observing packets across a given link, Swing automatically extracts parameters for its detailed multi-level model.
It then uses this model to generate live traffic that looks qualitatively similar to the original traffic. More
interestingly, Swing provides the user with meaningful knobs to project traffic demands into the future. This includes
changing assumptions about user popularity of applications, planned upgrades to the network as well as change in the
semantics of applications.
has been a growing emphasis on improving the reliability of the infrastructure. One approach to delivering such
reliability is for design engineers, network administrators and researchers to stress test potential solutions against a
wide variety of deployment scenarios. For instance, web hosting services would wish to ensure that they can deliver
target levels of performance and availability under a range of conditions. Similarly, Internet Service Providers (ISPs)
would benefit from understanding future growth in traffic demands at individual routers in its network as a function of
emerging applications and expanding user base.
I argue that one of the key ingredients required to carry out such studies is a deep understanding of Internet traffic
characteristics. This talk will try to uncover some of the mysteries surrounding Internet traffic, including its rich
structure. I will thus describe the principles and key insights that led to the development of the Swing traffic
generator. Swing is the first tool to reproduce realistic and responsive Internet-like traffic in a testbed. Starting
from observing packets across a given link, Swing automatically extracts parameters for its detailed multi-level model.
It then uses this model to generate live traffic that looks qualitatively similar to the original traffic. More
interestingly, Swing provides the user with meaningful knobs to project traffic demands into the future. This includes
changing assumptions about user popularity of applications, planned upgrades to the network as well as change in the
semantics of applications.
Contact
Claudia Richter
9325 688
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Carina Schmitt, 05/26/2008 13:16
Uwe Brahm, 04/07/2008 14:56
Claudia Richter, 04/07/2008 10:48
Claudia Richter, 04/07/2008 10:17 -- Created document.
Uwe Brahm, 04/07/2008 14:56
Claudia Richter, 04/07/2008 10:48
Claudia Richter, 04/07/2008 10:17 -- Created document.