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A Case Study of Traffic Demand Response to Broadband Service-Plan Upgrades

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 9631))

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Abstract

Internet service providers are facing mounting pressure from regulatory agencies to increase the speed of their service offerings to consumers; some are beginning to deploy gigabit-per-second speeds in certain markets, as well. The race to deploy increasingly faster speeds begs the question of whether users are exhausting the capacity that is already available. Previous work has shown that users who are already maximizing their usage on a given access link will continue to do so when they are migrated to a higher service tier.

In a unique controlled experiment involving thousands of Comcast subscribers in the same city, we analyzed usage patterns of two groups: a control group (105 Mbps) and a randomly selected treatment group that was upgraded to 250 Mbps without their knowledge. We study how users who are already on service plans with high downstream throughput respond when they are upgraded to a higher service tier without their knowledge, as compared to a similar control group. To our surprise, the difference between traffic demands between both groups is higher for subscribers with moderate traffic demands, as compared to high-volume subscribers. We speculate that even though these users may not take advantage of the full available capacity, the service-tier increase generally improves performance, which causes them to use the Internet more than they otherwise would have.

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Acknowledgments

This research was supported by the Comcast Tech Research Fund and by NSF Awards CNS-1539902 and CNS-1540066. We thank Jason Livingood and James Moon from Comcast for helpful discussions and access to the data that we used for this study.

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Correspondence to Sarthak Grover .

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© 2016 Springer International Publishing Switzerland

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Grover, S., Ensafi, R., Feamster, N. (2016). A Case Study of Traffic Demand Response to Broadband Service-Plan Upgrades. In: Karagiannis, T., Dimitropoulos, X. (eds) Passive and Active Measurement. PAM 2016. Lecture Notes in Computer Science(), vol 9631. Springer, Cham. https://doi.org/10.1007/978-3-319-30505-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-30505-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30504-2

  • Online ISBN: 978-3-319-30505-9

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