The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The impact and implications of the growth in residential user-to-user traffic
Abstract
It has been reported worldwide that peer-to-peer traffic is taking up a significant portion of backbone networks. In particular, it is prominent in Japan because of the high penetration rate of fiber-based broadband access. In this paper, we first report aggregated traffic measurements collected over 21 months from seven ISPs covering 42% of the Japanese backbone traffic. The backbone is dominated by symmetric residential traffic which increased 37%in 2005. We further investigate residential per-customer trafficc in one of the ISPs by comparing DSL and fiber users, heavy-hitters and normal users, and geographic traffic matrices. The results reveal that a small segment of users dictate the overall behavior; 4% of heavy-hitters account for 75% of the inbound volume, and the fiber users account for 86%of the inbound volume. About 63%of the total residential volume is user-to-user traffic. The dominant applications exhibit poor locality and communicate with a wide range and number of peers. The distribution of heavy-hitters is heavy-tailed without a clear boundary between heavy-hitters and normal users, which suggests that users start playing with peer-to-peer applications, become heavy-hitters, and eventually shift from DSL to fiber. We provide conclusive empirical evidence from a large and diverse set of commercial backbone data that the emergence of new attractive applications has drastically affected traffic usage and capacity engineering requirements.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Karagiannis, T., Broido, A., Brownlee, N., Claffy, K. C., & Faloutsos, M. (2005) · IEEE Global Telecommunications Conference, 2004. GLOBECOM '04. · doi:10.1109/glocom.2004.1378239 · Cited by 504
Cited by
Broadband internet performance: a view from the gateway
Sundaresan, S., de Donato, W., Feamster, N., Teixeira, R., Crawford, S., & Pescapè, A. (2011) · Proceedings of the ACM SIGCOMM 2011 conference · doi:10.1145/2018436.2018452 · Cited by 304
Metadata
- Authors
- Cho, K., Fukuda, K., Esaki, H., & Kato, A.
- Venue
- ACM SIGCOMM Computer Communication Review
- Published
- 2006-08-11
- Volume
- 36
- Issue
- 4
- Pages
- 207-218
- ISSN
- 0146-4833 (ISSN-L)
- OpenAlex
- W2096998282
- Cited by
- 170
- References
- 1
- FWCI
- 28.20
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The impact and implications of the growth in residential user-to-user traffic. https://app.cochat.ai/papers/10.1145/1151659.1159938
- The paper
- Cho, K., Fukuda, K., Esaki, H., & Kato, A. (2006). The impact and implications of the growth in residential user-to-user traffic. ACM SIGCOMM Computer Communication Review. https://doi.org/10.1145/1151659.1159938
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.