DEC: Service Demand Estimation with Confidence

We present a new technique for predicting the resource demand requirements of services implemented by multitier systems. Accurate demand estimates are essential to ensure the efficient provisioning of services in an increasingly service-oriented world. The demand estimation technique proposed in thi...

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Bibliographic Details
Published inIEEE transactions on software engineering Vol. 38; no. 3; pp. 561 - 578
Main Authors Kalbasi, A., Krishnamurthy, D., Rolia, J., Dawson, S.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2012
IEEE Computer Society
Subjects
Benchmark testing
Benchmarking
Computers
Confidence intervals
Equations
Estimating techniques
Estimation
Frequency modulation
Mathematical model
Regression analysis
resource demand prediction
Service oriented architecture
Software
Software services
statistical regression
Studies
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Summary:We present a new technique for predicting the resource demand requirements of services implemented by multitier systems. Accurate demand estimates are essential to ensure the efficient provisioning of services in an increasingly service-oriented world. The demand estimation technique proposed in this paper has several advantages compared with regression-based demand estimation techniques, which many practitioners employ today. In contrast to regression, it does not suffer from the problem of multicollinearity, it provides more reliable aggregate resource demand and confidence interval predictions, and it offers a measurement-based validation test. The technique can be used to support system sizing and capacity planning exercises, costing and pricing exercises, and to predict the impact of changes to a service upon different service customers.
ISSN:0098-5589
1939-3520
DOI:10.1109/TSE.2011.23