Forecasting hardware resource requirements

Zilla Sinuany-Stern, Hadar Yelin

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


This paper provides performance analysis and evaluation of a computer center in a large industrial organization; it is an extension of the Ahituv and Igbaria model. A regression model is utilized to forecast future hardware resource requirements given partial information. Several hardware resources were considered. Given the future growth in some of the resources and the number of jobs, the model can predict the growth in the other resources as well. Furthermore, the model can detect the resource that will be the bottleneck and at what level. The forecasts were performed for a large range of scenarios.

Original languageEnglish
Pages (from-to)477-484
Number of pages8
JournalComputers and Operations Research
Issue number5
StatePublished - 1 Jan 1993

ASJC Scopus subject areas

  • Computer Science (all)
  • Modeling and Simulation
  • Management Science and Operations Research


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