Next Generation Traffic Identification in IP networks
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Date: 04-20-2005
Start Time:
2:00pm
End Time: 3:00pm
Speaker: Subhabrata (Shubho) Sen
From:
AT&T Research
Location: CEPSR Interschool Lab
Hosted by:
Distributed Network Analysis (DNA) Lab
Abstract:
The past few years have witnessed a dramatic increase in the number and variety of applications running over the Internet and over enterprise IP networks. In this talk I shall focus on two related areas where we are developing traffic identification techniques to facilitate network management.
An accurate mapping of traffic to applications is important for a broad range of network management and measurement tasks including traffic engineering, service differentiation, performance/failure monitoring, and security. However the traditional port number-based approach has become increasingly inaccurate for a variety of reasons. In the first part of this talk, I shall present our exploration of application traffic identification in the context of 2 real-world problems. First, we consider the problem of accurately identifying P2P application traffic in real-time on high speed links, and explore the use of content-based application signatures. Second, we consider the problem of Class-of-Service Mapping for QoS in enterprise networks. Here we consider a solution framework for measurement based classification of traffic for QoS based on statistical application signatures.
In the second part of this talk, I shall consider the topic of Communities of interest (COI) in data networks. COIs have been applied in a variety of environments ranging from characterizing the online buying behavior of individuals to detecting fraud in telephone networks. It would clearly be beneficial if COIs can be used to characterize and predict the behavior of hosts within a data network. I shall describe our methodology and initial results for characterizing COIs of hosts within an IP network.