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Internet Web servers: workload characterization and performance implications
Abstract
This paper presents a workload characterization study for Internet Web servers. Six different data sets are used in the study: three from academic environments, two from scientific research organizations, and one from a commercial Internet provider. These data sets represent three different orders of magnitude in server activity, and two different orders of magnitude in time duration, ranging from one week of activity to one year. The workload characterization focuses on the document type distribution, the document size distribution, the document referencing behavior, and the geographic distribution of server requests. Throughout the study, emphasis is placed on finding workload characteristics that are common to all the data sets studied. Ten such characteristics are identified. The paper concludes with a discussion of caching and performance issues, using the observed workload characteristics to suggest performance enhancements that seem promising for Internet Web servers.
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Cited by
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Srivastava, J., Cooley, R., Deshpande, M., & Tan, P.-N. (2000) · ACM SIGKDD Explorations Newsletter · doi:10.1145/846183.846188 · Cited by 2,105
The World’s Technological Capacity to Store, Communicate, and Compute Information
Hilbert, M., & López, P. (2011) · Science · doi:10.1126/science.1200970 · Cited by 1,643
Youtube traffic characterization: a view from the edge
Gill, P., Arlitt, M., Li, Z., & Mahanti, A. (2007) · Proceedings of the 7th ACM SIGCOMM conference on Internet measurement · doi:10.1145/1298306.1298310 · Cited by 852
Self-citationAnalyzing Peer-To-Peer Traffic Across Large Networks
Sen, S., & Wang, J. (2004) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2004.826277 · Cited by 586
Workload analysis of a large-scale key-value store
Atikoglu, B., Xu, Y., Frachtenberg, E., Jiang, S., & Paleczny, M. (2012) · ACM SIGMETRICS Performance Evaluation Review · doi:10.1145/2318857.2254766 · Cited by 268
Metadata
- Authors
- Arlitt, M. F., & Williamson, C. L.
- Venue
- IEEE/ACM Transactions on Networking
- Published
- 1997
- Volume
- 5
- Issue
- 5
- Pages
- 631-645
- ISSN
- 1063-6692 (ISSN-L)
- OpenAlex
- W2099374284
- Cited by
- 730
- References
- 0
- FWCI
- 45.04
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
