Seminars

DATE: Thursday October 10, 2002
TIME: Noon - 1:00 p.m.
PLACE: Hamerschlag Hall, D210

SPEAKER:
Anthony Joseph
Assistant Professor, UC Berkeley

TITLE:
Griffin: Towards an Agile, Predictive Infrastructure

ABSTRACT:
In this talk, I will present the Griffin project, the goals, and recent results and achievements. We are exploring the development of a network analysis and emulation architecture that provides developers with a highly accurate emulation of a wired or wireless link. Griffin also provides applications with predictive information about network conditions and topologies that enables them to adapt BEFORE conditions deteriorate or improve. Preliminary results show that Griffin techniques can help applications: reduce wide-area bandwidth requirements by up to 75%, improve performance on slow networks by up to 90%, and significantly improve performance over lossy networks.

The Griffin architecture includes components at several levels of the network stack, from link and media access layers, through overlay networks, and up to applications. The first half of the talk provides an overview of Griffin, our design goals, architecture, and high-level components. The second half of the talk will focus on the detailed design of one of the components, Tapas, Griffin's network monitoring, modeling, emulation, and prediction system. I will present results from a detailed analysis of several existing and new networks, including IP, GSM, and IEEE 802.11b networks. I will also show how the Tapas techniques provide two significant benefits to protocol and application developers by enabling the development of new protocols using highly accurate simulation techniques, and simplifying the development of predictive, adaptive applications.

BIO:
Anthony Joseph received his Ph.D. in Computer Science with a Minor in Management of Research and Technology from the Massachusetts Institute of Technology in 1998. He is now an Assistant Professor at UC Berkeley and has reseach interests in access to information.

For Further Seminar Info:
Visit http://www.pdl.cmu.edu/SDI/