Detecting shared congestion of flows via end-to-end measurement
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Detecting shared congestion of flows via end-to-end measurement
IEEE/ACM Transactions on Networking (TON)
Analysis of delay and delay jitter of voice traffic in the internet
Computer Networks: The International Journal of Computer and Telecommunications Networking
On Modeling Round-Trip Time Dynamics of the Internet Using System Identification
ICOIN '02 Revised Papers from the International Conference on Information Networking, Wireless Communications Technologies and Network Applications-Part I
Delay-based congestion avoidance for TCP
IEEE/ACM Transactions on Networking (TON)
Multicast congestion control scheme over wireless access links: problem and enhancement
International Journal of Internet Protocol Technology
An approach to the identification of network elements composing heterogeneous end-to-end paths
Computer Networks: The International Journal of Computer and Telecommunications Networking
Modelling internet delay dynamics: comparative study
AsiaCSN '07 Proceedings of the Fourth IASTED Asian Conference on Communication Systems and Networks
Packet loss characteristics of IPTV-like traffic on residential links
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
VMScatter: migrate virtual machines to many hosts
Proceedings of the 9th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Hi-index | 0.00 |
In this paper we examine the correlation between packet delay and packet loss experienced by a continuous-media traffic source on the Internet. Our goal is to study the extent to which one performance measure can be used to predict of the future behavior of the other (e.g., whether observed increasing delay is a good predictor of future loss) so that an adaptive continuous media application might take {\it anticipatory\/} action based on observed performance. We ran numerous hour-long experiments in which continuous media traffic was sent from a source to a destination. We measured the per-packet delay and packet loss and then analyzed our measurements off-line. Our results provide a quantitative study of the extent to which such correlation exists. Interestingly, we observe periodic phenomena in the correlation that we had initially not expected. We discuss our results, speculate as to the reason for the observed behaviors, and discuss their implications for adaptive continuous media applications.