The DOI matches its Crossref record.
Web caching and Zipf-like distributions: evidence and implications
Abstract
This paper addresses two unresolved issues about Web caching. The first issue is whether Web requests from a fixed user community are distributed according to Zipf's (1929) law. The second issue relates to a number of studies on the characteristics of Web proxy traces, which have shown that the hit-ratios and temporal locality of the traces exhibit certain asymptotic properties that are uniform across the different sets of the traces. In particular, the question is whether these properties are inherent to Web accesses or whether they are simply an artifact of the traces. An answer to these unresolved issues will facilitate both Web cache resource planning and cache hierarchy design. We show that the answers to the two questions are related. We first investigate the page request distribution seen by Web proxy caches using traces from a variety of sources. We find that the distribution does not follow Zipf's law precisely, but instead follows a Zipf-like distribution with the exponent varying from trace to trace. Furthermore, we find that there is only (i) a weak correlation between the access frequency of a Web page and its size and (ii) a weak correlation between access frequency and its rate of change. We then consider a simple model where the Web accesses are independent and the reference probability of the documents follows a Zipf-like distribution. We find that the model yields asymptotic behaviour that are consistent with the experimental observations, suggesting that the various observed properties of hit-ratios and temporal locality are indeed inherent to Web accesses observed by proxies. Finally, we revisit Web cache replacement algorithms and show that the algorithm that is suggested by this simple model performs best on real trace data. The results indicate that while page requests do indeed reveal short-term correlations and other structures, a simple model for an independent request stream following a Zipf-like distribution is sufficient to capture certain asymptotic properties observed at Web proxies.
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
Cited by
FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers
Shanmugam, K., Golrezaei, N., Dimakis, A. G., Molisch, A. F., & Caire, G. (2013) · IEEE Transactions on Information Theory · doi:10.1109/tit.2013.2281606 · Cited by 1,246
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
Wang, S., Zhang, X., Zhang, Y., Wang, L., YANG, J., & Wang, W. (2017) · IEEE Access · doi:10.1109/access.2017.2685434 · Cited by 952
He, Y., Zhao, N., & Yin, H. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2760281 · Cited by 569
Wireless Device-to-Device Caching Networks: Basic Principles and System Performance
Ji, M., Caire, G., & Molisch, A. F. (2016) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2015.2452672 · Cited by 444
Content-Centric Sparse Multicast Beamforming for Cache-Enabled Cloud RAN
Tao, M., Chen, E., Zhou, H., & Yu, W. (2016) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2016.2578922 · Cited by 423
Metadata
- Authors
- Breslau, L., Cao, P., Fan, L., Phillips, G., & Shenker, S.
- Venue
- IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320)
- Publisher
- IEEE
- Published
- 1999
- Pages
- 126-134 vol.1
- OpenAlex
- W2112053513
- Cited by
- 3,467
- References
- 0
- FWCI
- 63.95
- Type
- conference paper
- 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: Web caching and Zipf-like distributions: evidence and implications. https://app.cochat.ai/papers/10.1109/infcom.1999.749260
- The paper
- Breslau, L., Cao, P., Fan, L., Phillips, G., & Shenker, S. (1999). Web caching and Zipf-like distributions: evidence and implications. IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320). https://doi.org/10.1109/infcom.1999.749260
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.