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Application run time estimation: a quality of service metric for web-based data mining services
Monash University, Melbourne, VIC.
RMIT University, Melbourne.
2002 (English)In: Applied computing 2002: proceedings of the 2002 ACM Symposium on Applied Computing ; Universidad Carlos III De Madrid, Madrid, Spain, March 11 - 14, 2002 / [ed] Gary Lamont, New York: IEEE Communications Society, 2002, p. 1153-1159Conference paper, Published paper (Refereed)
Abstract [en]

The emergence of Application Service Providers (ASP) hosting Internet-based data mining services is being seen as a viable alternative for organisations that value their knowledge resources but are constrained by the high cost of data mining software. Response time is an important Quality of Service (QoS) metric for web-based data mining service providers. The ability to estimate the response time of data mining algorithms apriori benefits both clients and service providers. The advantage for the clients is that it helps to impose QoS constraints on the service level agreements and the benefit for the service-providers is that it facilitates optimising resource utilisation and scheduling. In this paper we present a novel rough sets based technique for identifying similarity templates to estimate application run times. We also present experimental results and analysis of this technique.

Place, publisher, year, edition, pages
New York: IEEE Communications Society, 2002. p. 1153-1159
Identifiers
URN: urn:nbn:se:ltu:diva-30510DOI: 10.1145/508791.509016Local ID: 45abef50-ce9f-11dc-91eb-000ea68e967bISBN: 1-58113-445-2 (print)OAI: oai:DiVA.org:ltu-30510DiVA, id: diva2:1003737
Conference
ACM Symposium on Applied Computing : 11/03/2002 - 14/03/2002
Note
Uppr├Ąttat; 2002; 20080129 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-06-11Bibliographically approved

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Zaslavsky, Arkady

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