Abstract

In this project, we propose a system architecture which uses an advice server to improve the performance of very large file transfers in high performance networks; the advice server predicts the behavior of changes in available bandwidth and responds to the data server accordingly. It is assumed that the network will exhibit a periodic fluctuation, a linear relationship will be used to model the change in bandwidth over short time intervals. The advice server will collect network measurement data and record into database for network traffic and congestion state modeling. Here, the general mathematical theory for the algorithm will be introduced first; then the algorithm used by the advice server will be presented.

Citations