Local area network analysis using end-to-end delay tomography

Abstract

There has been considerable interest over the last few years in collecting and analyzing internet traffic data in order to estimate quality of service parameters such as packet loss rates and delay distributions. In this paper, we focus on fast and efficient estimation methods for network link delay distributions based on end-to-end measurements obtained by probing the underlying. We introduce a rigorous statistical framework for designing the necessary probing experiments and examine the properties of the proposed estimators. The proposed framework and the resulting methodology are validated using data collected on the University of North Carolina (UNC) local area network.

Network Tomography: A Review and Recent Developments

“…In the office building, we see the mass shift outward from Saturday to Tuesday, but most of the mass still falls within the first five bins indicating fairly good link performance. Additional analyses of the UNC network data can be found in Lawrence et al (2005aLawrence et al ( , 2005b). E. Lawrence, G. Michailidis…”