ABSTRACT
Effect of Different Marking Strategies on Explicit Congestion
Notification (ECN) Performance
Dr. Jogesh Muppala
Department of Computer Science,
Hong Kong University of Science and Technology
The congestion control mechanisms built into the Transmission Control
Protocol (TCP) use packet drops as a means to detect congestion
occurring in the network. Unnecessary packet drops lead to poor
performance for low-bandwidth delay-sensitive applications. Explicit
Congestion Notification (ECN) is proposed as a mechanism to provide
feedback to the
sources about impending congestion in the routers without the need to
drop packets. This requires the ECN bit of the IP packet to be marked
at the router based on mechanisms like Random Early Detection (RED) to
identify congestion. In this seminar, we examine three different
marking strategies: mark-tail, mark-front and mark-random. The
throughput performance of ECN flows and the unfairness among the ECN
flows are examined. We also
study the interaction between ECN and non-ECN flows.
Speaker's biography:
Dr. Muppala received the Ph. D. degree in Electrical Engineering from
Duke University, Durham, North Carolina, in 1991. He is currently an
associate professor in the Department of Computer Science, Hong Kong
University of Science and Technology. He was previously a member of the
technical staff at Software Productivity Consortium (Herndon, Virginia,
USA) from 1991 to 1992, where he was involved in the development of
modelling techniques for systems and software. While at Duke University,
he participated in the development of two modelling tools: the
Stochastic Petri Net Package (SPNP) and the symbolic Hierarchical
Automated Reliability and Performance Evaluator (SHARPE), both of which
are now being used in several universities and in industry in the USA.
Maintained by rbennett@cs.ucl.ac.uk