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Cited by 163

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Characterizing the scalability of a large web-based shopping system

Arlitt, Martin, Krishnamurthy, Diwakar, Rolia, Jerry·2001·ACM Transactions on Internet Technology

Abstract

This article presents an analysis of five days of workload data from a large Web-based shopping system. The multitier environment of this Web-based shopping system includes Web servers, application servers, database servers, and an assortment of load-balancing and firewall appliances. We characterize user requests and sessions and determine their impact on system performance scalability. The purpose of our study is to assess scalability and support capacity planning exercises for the multitier system. We find that horizontal scalability is not always an adequate mechanism for supporting increased workloads and that personalization and robots can have a significant impact on system scalability.

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Metadata

Authors
Arlitt, M., Krishnamurthy, D., & Rolia, J.
Venue
ACM Transactions on Internet Technology
Published
2001-08
Volume
1
Issue
1
Pages
44-69
ISSN
  • 1533-5399 (ISSN-L)
  • 1557-6051
OpenAlex
W2008427707
Cited by
163
References
1
FWCI
23.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Characterizing the scalability of a large web-based shopping system. https://app.cochat.ai/papers/10.1145/383034.383036
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Arlitt, M., Krishnamurthy, D., & Rolia, J. (2001). Characterizing the scalability of a large web-based shopping system. ACM Transactions on Internet Technology. https://doi.org/10.1145/383034.383036

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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.