Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
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
Capacity planning for Web performance: metrics, models, and methods
Capacity planning for Web performance: metrics, models, and methods
Survey of analytic queueing network models of computer systems
SIGMETRICS '79 Proceedings of the 1979 ACM SIGMETRICS conference on Simulation, measurement and modeling of computer systems
Developing a characterization of business intelligence workloads for sizing new database systems
Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
Sizing DB2 UDB® servers for business intelligence workloads
CASCON '04 Proceedings of the 2004 conference of the Centre for Advanced Studies on Collaborative research
Using economic models to allocate resources in database management systems
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
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Capacity planning is the process of determining the most cost-effective computing environment that meets the current and future demands of a computing system. Capacity planning is important for large database management systems (DBMSs) whose performance can be greatly affected by the amount of available resources and whose workloads can change significantly over time. In this paper, we examine support for capacity planning for DBMSs. We describe an analytical model that is used to estimate performance under different scenarios and discuss how to obtain the input parameters to the model for an OLTP workload running on IBM® DB2® Universal DatabaseTM. We then give an example of how the model can be used to solve a typical capacity planning problem.