QOS EXTENSION TO CORE-BASED MULTICAST ROUTING PROTOCOLS
Prof. Jennifer Hou
Ohio State University
September 20, 2PM
In this talk, we will present a QoS extension to core-based multicast routing protocols such as Core-Based Tree (CBT) protocol, Simple Multicast (SM) protocol and Protocol Independent Multicast Sparse Mode (PIM-SM). Specifically, we discuss enhancements in the member join/leave and state update/refresh procedures to facilitate the deployment of additive (e.g., end-to-end delay bound), multiplicative (e.g., packet loss ratio along a path) and concave (e.g., minimum bandwidth available) QoS. In particular, we elaborate on eligibility tests to verify whether or not a new member can join a multicast tree at adequate QoS, while not violating the QoS received by on-tree members. We also discuss how router state can be refreshed based on a simple state update and refresh procedure that can be readily integrated with the tree maintenance mechanism (e.g., echo-requests and echo-replies in CBT).
If time permits, we will also give a live demo on, and hightlight the many features of, a Java-based network simulation package which we developed to evaluate the proposed QoS-driven routing work.
Prof. Hou is an associate professor in the Department of Electrical Engineering at Ohio State University. She received the Ph.D. degree in Electrical Engineering and Computer Science from the University of Michigan, Ann Arbor in 1993. Prior to joining OSU, she was an assistant professor at the University of Wisconsin -- Madison. Prof. Hou was one of the key designers for the real-time operating system, HARTOS, for the distributed real-time systems, Hexagonal Architecture for Real-Time Systems (HARTS). She received the NSF Career Award in 1996, the Women in Science Initiative Award at the Univ. of Wisconsin, Madison in 1993--1995, and the Wisconsin Faculty Research Fellowship in 1995.
The Network Systems Colloquium is sponsored by the Network Systems Lab at Purdue University. For further information, please contact Kihong Park (email@example.com or 765-494-7821).