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Revisiting web server workload invariants in the context of scientific web sites

Published: 11 November 2006 Publication History

Abstract

The Web has evolved much from when Arlitt and Williamson proposed the ten Web workload invariants more than a decade ago. Many diverse communities now depend on the Web in their day-to-day lives. A current knowledge of the invariants for the Web is useful for performance enhancement and for synthetic Web workload generation. Invariants can also serve as a useful tool for detecting anomaly and misuse, a new dimension of Web usage arising from the change in trust assumptions in the Internet in the recent years. Focusing on scientific Web servers, we revisit the Web server workload invariants and find that only three out of the ten invariants hold as-is. We investigate appropriate revisions to the invariants that do not hold and also propose three new invariants for scientific Web servers.

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Cited By

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  • (2019)Characterizing Mobile Web Traffic: A Case Study of an Academic Web Server2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU48249.2019.9006650(1-6)Online publication date: Nov-2019
  • (2017)Subscriber-Driven Interference Detection for Cloud-Based Web ServicesIEEE Transactions on Network and Service Management10.1109/TNSM.2016.264283814:1(48-62)Online publication date: 1-Mar-2017
  • (2012)Workload Characterization and Performance Implications of Large-Scale Blog ServersACM Transactions on the Web10.1145/2382616.23826196:4(1-26)Online publication date: 1-Nov-2012
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cover image ACM Conferences
SC '06: Proceedings of the 2006 ACM/IEEE conference on Supercomputing
November 2006
746 pages
ISBN:0769527000
DOI:10.1145/1188455
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 11 November 2006

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SC '06 Paper Acceptance Rate 54 of 239 submissions, 23%;
Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

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Cited By

View all
  • (2019)Characterizing Mobile Web Traffic: A Case Study of an Academic Web Server2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU48249.2019.9006650(1-6)Online publication date: Nov-2019
  • (2017)Subscriber-Driven Interference Detection for Cloud-Based Web ServicesIEEE Transactions on Network and Service Management10.1109/TNSM.2016.264283814:1(48-62)Online publication date: 1-Mar-2017
  • (2012)Workload Characterization and Performance Implications of Large-Scale Blog ServersACM Transactions on the Web10.1145/2382616.23826196:4(1-26)Online publication date: 1-Nov-2012
  • (2009)Analyzing usage in a large coursecasting serviceProceedings of the 37th annual ACM SIGUCCS fall conference: communication and collaboration10.1145/1629501.1629527(139-142)Online publication date: 11-Oct-2009

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