BETTER CAPACITY PLANNING: Journal of Information Systems Management: Vol 8, No 4

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Abstract

Capacity modeling has long been viewed as the key task in estimating future computing needs. Yet the work load estimates that form a model's underlying assumptions are often completely unreliable. One way to improve capacity planning is to optimize input and focus on results analysis.

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Daniel W. Jinks

DANIEL W. JINKS is an associate in the Information Management and Systems Group of the international management consulting firm of Temple, Barker & Shane Inc.

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BETTER CAPACITY PLANNING

Notes on contributors

Daniel W. Jinks

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BETTER CAPACITY PLANNING

Abstract

Additional information

Notes on contributors

Daniel W. Jinks

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Academic Permissions

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