End-to-end routing behavior in the Internet
IEEE/ACM Transactions on Networking (TON)
Modeling TCP throughput: a simple model and its empirical validation
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Measuring the effects of internet path faults on reactive routing
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Analysis of factors affecting players' performance and perception in multiplayer games
NetGames '05 Proceedings of 4th ACM SIGCOMM workshop on Network and system support for games
How sensitive are online gamers to network quality?
Communications of the ACM - Entertainment networking
Characterizing residential broadband networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Real-time monitoring of video quality in IP networks
IEEE/ACM Transactions on Networking (TON)
Broadband internet performance: a view from the gateway
Proceedings of the ACM SIGCOMM 2011 conference
Refactoring network infrastructure to improve manageability: a case study of home networking
ACM SIGCOMM Computer Communication Review
Measuring home broadband performance
Communications of the ACM
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When purchasing home broadband access from Internet service providers (ISPs), users must decide which service plans are most appropriate for their needs. Today, ISPs advertise their available service plans using only generic upload and download speeds. Unfortunately, these metrics do not always accurately reflect the varying performance that home users will experience for a wide range of applications. In this paper, we propose that each ISP service plan carry a "nutrition label" that conveys more comprehensive information about network metrics along many dimensions, including various aspects of throughput, latency, loss rate, and jitter. We first justify why these metrics should form the basis of a network nutrition label. Then, we demonstrate that current plans that are superficially similar with respect to advertised download rates may have different performance according to the label metrics. We close with a discussion of the challenges involved in presenting a nutrition label to users in a way that is both accurate and easy to understand.