Abstract
The deterministic flows model for computer performance evaluation has been recently suggested [Gele82] as a tool for describing and predicting system performance. It is based on a deterministic and “long-term” description of a computer system ’s job arrival and departure pattern. In this paper, we show how its principal parameters can be identified from practical measurements, and illustrate the method proposed with real data. The parameter identification method is then validated through the predictions offered by the model.
This work was partially supported by the “Ministero della Pubblica Istruzione of Italy and the HUSPI Project.
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Calzarossa, M., Gelenbe, E., Serazzi, G. (1985). The Deterministic Flows Model: Parameter Identification. In: Beilner, H. (eds) Messung, Modellierung und Bewertung von Rechensystemen. Informatik—Fachberichte, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-87472-7_23
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DOI: https://doi.org/10.1007/978-3-642-87472-7_23
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