Computer capacity planning: theory and practice
Computer capacity planning: theory and practice
Capacity planning and performance modeling: from mainframes to client-server systems
Capacity planning and performance modeling: from mainframes to client-server systems
Supporting capacity planning for DB2 UDB
CASCON '02 Proceedings of the 2002 conference of the Centre for Advanced Studies on Collaborative research
Developing a characterization of business intelligence workloads for sizing new database systems
Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
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Computer system sizing involves estimating the amount of hardware resources needed to support a new application that has not been run in a production environment. Sizing assumes that little system environment information or performance measurements are available for the specific workload, thus a sizing expert must use extrapolations from similar workloads, industry benchmarks, rules-of-thumb, and hardware performance guidelines to determine the type and quantity of resources required. In this paper, we describe a structured approach to size the database tier of a business intelligence (BI) application. We also describe a prototype software tool we created based on the approach. We evaluate the tool using real customer data obtained from IBM and compare its results to the recommendations of a sizing expert.