Network--Specific Computer Traffic Modeling and Prediction

• Activity Number: 37
• Type: Contributed
• Date/Time: Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
• Sponsor: Section on Physical and Engineering Sciences
• Author(s): Joel Vaughan*+ and Stilian Stoev and George Michailidis
• Companies: University of Michigan and University of Michigan and University of Michigan
• Keywords: network traffic

Abstract

In order to maintain consistent quality of service, computer network engineers face the task of monitoring the traffic fluctuations on the individual links making up the network. However, due to resource constraints and limited access, it is not possible to directly measure all the links. Starting with a physically interpretable probabilistic model of network-wide traffic, we demonstrate how an expensively obtained set of measurements may be used to develop a network--specific model of the traffic across the network. This model may then be used in conjunction with easily obtainable measurements to provide more accurate prediction than is possible with only the inexpensive measurements. Finally, we show an application of the prediction technique to isolate the root cause of an observed network phenomenon.