Name
Abstract | ||
|---|---|---|
A technique to implement a workload model that must be representative of both static and dynamic characteristics of a workload is presented. The main goal of this work is the construction of a representative and compact artificial workload model. The approach taken is first to assign the set of workload components to classes having homogeneous static (i.e., load-independent) characteristics using clustering and then to model the dynamic sequence of components execution with a suitable stochastic process. The representativeness of such a workload model may be verified applying the physically or the function-oriented criteria for the static aspects and the performance-oriented criterion for the dynamic aspects considered. The results of an experimental application of this technique to model the workload of a university environment are presented. |
Year | DOI | Venue |
|---|---|---|
1986 | 10.1007/BF00289113 | Acta Inf. |
Keywords | Field | DocType |
Information System,Operating System,Data Structure,Communication Network,Stochastic Process | Information system,Data mining,Data structure,Discrete mathematics,Telecommunications network,Homogeneous,Workload,Representativeness heuristic,Stochastic process,Real-time computing,Cluster analysis,Mathematics | Journal |
Volume | Issue | ISSN |
23 | 3 | 0001-5903 |
Citations | PageRank | References |
3 | 0.69 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Calzarossa | 1 | 161 | 19.38 |
| M. Italiani | 2 | 3 | 0.69 |
| giuseppe serazzi | 3 | 123 | 13.37 |