Event Details

Measuring the Arrival Quality of Real-Time Packet Trains - A Global Perspective

Presenter: Dr. Ulrich Speidel - Department of Computer Science, The University of Auckland
Supervisor: IEEE Victoria Section

Date: Tue, November 26, 2013
Time: 13:30:00 - 14:30:00
Place: EOW 430

ABSTRACT

Abstract:

Real-time applications on the Internet include everyday applications such as Voice over IP telephony, but also more advanced technologies such as remote manipulation, e.g., for remote surgery. These applications work best if their packet trains arrive with minimum latency, low packet loss, constant inter-arrival times and all packets in the order in which they were transmitted. Latency is largely unavoidable due to the physical distance, but not meeting the remaining requirements perfectly requires applications to buffer packets until sufficient data for meaningful processing (e.g., audio playback) has accumulated at the receiver.

Conventional "improvements" to Internet infrastructure, such as the addition of new links and load balancing can be a double-edged sword: While they create extra bandwidth and reduce congestion and sometimes latency, they also create additional router queues and alternative paths, potentially affecting inter-arrival times and in-order delivery. This is in particular a problem if the destination is served by long thin networks. Our project is a longitudinal study that attempts to track the long-term global trend in the arrival quality of real-time long distance packet streams.

Biography:

Ulrich Speidel is a senior lecturer in the Department of Computer Science. He holds a PhD in Computer Science and an MSc in Physics from Auckland, and held a visiting associate professorship at the University of Tokyo in 2010. He works in information theory, variable-length coding, information measurement and web technologies and applications of all these fields. His main project in the last two years has been to establish of an international network of computers for active network measurement to investigate long-term trends in the smoothness of long-distance real-time data flows.

For further information, contact:
Stephen Neville (250-721-6017, sneville@ece.uvic.ca)