TY - GEN
T1 - Up, down and around the stack
T2 - Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, ACM SIGCOMM 2012
AU - Bischof, Zachary S.
AU - Otto, John S.
AU - Bustamante, Fabian E
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Broadband characterization has recently attracted much attention from the research community and the general public. Given this interest and the important business and policy implications of residential Internet service characterization, recent years have brought a variety of approaches to profiling Internet services, ranging from Web-based platforms to dedicated infrastructure inside home networks. We have previously argued that network-intensive applications provide an almost ideal vantage point for broadband service characterization at sufficient scale, nearly continuously and from end users. While we have shown that the approach is indeed effective at characterization and can enable performance comparisons between service providers and geographic regions, a key unanswered question is how well the performance characteristics captured by these network-intensive applications can predict the overall user experience with other applications. In this paper, using BitTorrent as an example network-intensive application, we present initial results that demonstrate how to obtain estimates of bandwidth and latency of a network connection by leveraging passive monitoring and limited active measurements from network intensive applications. We then analyze user experienced web performance under a variety of network conditions and show how estimated metrics from this network intensive application can serve as good web performance predictors.
AB - Broadband characterization has recently attracted much attention from the research community and the general public. Given this interest and the important business and policy implications of residential Internet service characterization, recent years have brought a variety of approaches to profiling Internet services, ranging from Web-based platforms to dedicated infrastructure inside home networks. We have previously argued that network-intensive applications provide an almost ideal vantage point for broadband service characterization at sufficient scale, nearly continuously and from end users. While we have shown that the approach is indeed effective at characterization and can enable performance comparisons between service providers and geographic regions, a key unanswered question is how well the performance characteristics captured by these network-intensive applications can predict the overall user experience with other applications. In this paper, using BitTorrent as an example network-intensive application, we present initial results that demonstrate how to obtain estimates of bandwidth and latency of a network connection by leveraging passive monitoring and limited active measurements from network intensive applications. We then analyze user experienced web performance under a variety of network conditions and show how estimated metrics from this network intensive application can serve as good web performance predictors.
KW - Broadband access networks
KW - ISP characterization
KW - Web performance
UR - http://www.scopus.com/inward/record.url?scp=84894592018&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894592018&partnerID=8YFLogxK
U2 - 10.1145/2377677.2377778
DO - 10.1145/2377677.2377778
M3 - Conference contribution
AN - SCOPUS:84894592018
SN - 9781450314190
T3 - Computer Communication Review
SP - 515
EP - 520
BT - Proceedings of the ACM SIGCOMM 2012 and Best Papers of the Co-located Workshops
Y2 - 13 August 2012 through 17 August 2012
ER -