Publication Date
2009
Degree Type
Master's Project
Degree Name
Master of Science (MS)
Department
Computer Science
Abstract
End-to-End Available Bandwidth (AB) is a real-time network metric that is useful for a wide range of applications including content distribution networks, multimedia streaming applications and overlay networks. In a large network with several thousand nodes, it is infeasible to perform all-pair bandwidth measurements as AB measurements could induce traffic overhead along the path. Also because of its dynamic nature, the measurements have to be performed frequently thus imposing significant probe traffic overhead on the network. In this paper, we discuss a clustering based distributed algorithm to infer the AB between any pair of nodes in a large network based on measurements performed on a subset of end-to-end paths. The algorithm was validated on Planet-Lab and for some nodes, 80% of the inferences were within 50% of the actual value.
Recommended Citation
Samptur, Seetharam, "Available Bandwidth Inference Based On Node-Centric Clusters" (2009). Master's Projects. 110.
DOI: https://doi.org/10.31979/etd.bjkv-j9hu
https://scholarworks.sjsu.edu/etd_projects/110
