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Abstract: The type of the workload on a database management system (DBMS) is a key consideration in tuning the system. Allocations for resources such as main memory can be very different depending on whether the workload type is Online Transaction Processing (OLTP) or Decision Support System (DSS). In this paper, we present an approach to automatically identifying a DBMS workload as either OLTP or DSS. We build a classification model based on the most significant workload characteristics that... (Update)
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BibTeX entry: (Update)
S. Elnaffar, P. Martin and R. Horman, "Automatically Classifying Database Workloads", Proceedings of ACM Conference on Information and Knowledge Management (CIKM ACM '02), November 2002. http://citeseer.ist.psu.edu/elnaffar02automatically.html More
@misc{ elnaffar02automatically,
author = "S. Elnaffar and P. Martin and R. Horman",
title = "Automatically Classifying Database Workloads",
text = "S. Elnaffar, P. Martin and R. Horman, Automatically Classifying Database
Workloads, Proceedings of ACM Conference on Information and Knowledge Management
(CIKM ACM '02), November 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/elnaffar02automatically.html" }
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12 Oracle Corp (context) - iDatabase, Reference et al. - 2001
2 Characterizing Computer Systems' Workloads (context) - Ehiaffar, Martin
1 A Methodology for Auto-recognizing DBMS Workloads (context) - Ehiaffar - 2002 ACM
1 SPRlNT: A Scalable Parallel Classifier for Data Mining (context) - Sharer, Agrawal et al. - 1996
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