[UCI-Calit2] Fast Prototyping of Network Data Mining Applications

[Anna Lynn Spitzer]

Fast Prototyping of Network Data Mining Applications
A Networked Systems Seminar

With Gianluca Iannaccone, Intel Research

2-3 p.m.
Thursday, Feb. 28
Calit2 Building, Room 3008

Developing new tools to analyze network data is often a complex and
error-prone process. Current practices require developers to possess an
in-depth understanding of the original data sets and to develop ad-hoc
software tools to first extract the relevant information from the data
and then implement the internals of the new algorithm. This development
process results in long delays during the analysis of the data and in
the production of software that is often hard to reuse, debug or
optimize.  We present the design and implementation of CoMo, a system
for fast prototyping network data mining applications. CoMo provides an
abstraction layer both for the network data as well as for the hardware
architecture used to collect and process the data. This allows
developers to focus on the correctness of the implementation of their
analysis tools while the system makes the tool amenable to optimization
when running on different hardware architectures. In this talk we
discuss CoMo's design challenges, our solution to address them and
evaluate the resulting software in terms of performance, flexibility and
ease of use.

Gianluca Iannaccone joined Intel Research in September 2003 after
spending three years at Sprint Advanced Technology Laboratories. While
at Sprint, he focused on research in the characterization and modeling
of network traffic and on analysis of fault management techniques for
large IP networks. Iannaccone is the co-author of two research papers,
on network monitoring and network forensics, presented at IEEE Infocom
2006. He received his Ph.D. in computer engineering from the University
of Pisa, Italy. 

For more information, contact Athina Markopoulou, athina at uci.edu