Continuous-time hidden Markov models for network performance evaluation

In this paper, we study the use of continuous-time hidden Markov models (CT-HMMs) for network protocol and application performance evaluation. We develop an algorithm to infer the CT-HMM from a series of end-to-end delay and loss observations of probe packets. This model can then be used to simulate network environments for network performance evaluation. We validate the simulation method through a series of experiments both in ns and over the Internet. Our experimental results show that this simulation method can represent a wide range of real network scenarios. It is easy to use, accurate and time efficient.

• Type: Journal
• Year: 2002
• Where: PE
• Authors: Wei Wei, Bing Wang, Donald F. Towsley
• Keywords: Continuous-time Hidden Markov, Optimization, PE 2002, Performance Evaluation, Simulation Method