Name
Abstract | ||
|---|---|---|
Workload characterization is known to be a difficult and yet a very important facet of performance modeling. User behavior graphs have been advocated as a practical means of workload characterization. Performance modeling with user behavior graphs is for the most part carried out using costly simulations. We present inexpensive and yet accurate analytic performance models based on user behavior graphs. |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1016/0166-5316(90)90008-7 | Perform. Eval. |
Keywords | Field | DocType |
workload characterization,system performance,user behavior graph,memory constraint,markov chain,product-form queuing networks | Graph,Workload,Computer science,Markov chain,Queuing network,Real-time computing,Facet (geometry),Distributed computing | Journal |
Volume | Issue | ISSN |
11 | 3 | Performance Evaluation |
Citations | PageRank | References |
15 | 1.39 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Calzarossa | 1 | 161 | 19.38 |
| R. Marie | 2 | 15 | 1.39 |
| K. S. Trivedi | 3 | 136 | 21.48 |