Title
Characterization and Analysis of Software and Computer Systems with Uncertainties and Variabilities
Abstract
Conventional solution techniques for analytic performance models of computer and telecommunication systems use single values as inputs. Uncertainties or variabilities in model parameters may exist in many types of systems. Using models with a single aggregated mean value for each parameter for such systems can produce inappropriate and misleading results. This chapter presents intervals and extended histograms for characterizing system parameters that are associated with uncertainty and variability. Adaptation of existing analytic performance evaluation methods to this interval-based parameter characterization is described. The application of this approach is illustrated with two examples: a hierarchical model of a multicomputer system and a queueing network model of an EJB server implementation.
Year
DOI
Venue
2001
10.1007/3-540-45156-0_13
Performance Engineering
Keywords
Field
DocType
system parameter,computer systems,single value,multicomputer system,queueing network model,analytic performance model,single aggregated mean value,analytic performance evaluation method,model parameter,interval-based parameter characterization,hierarchical model
Histogram,Mean value,Computer science,Queueing network models,Algorithm,Software,Component-based software engineering,Interval arithmetic,Hierarchical database model,Software development
Conference
ISBN
Citations 
PageRank 
3-540-42145-9
1
0.48
References 
Authors
18
4
Name
Order
Citations
PageRank
Shikharesh Majumdar143575.95
Johannes Lüthi2345.07
Günter Haring327335.87
Revathy Ramadoss491.27