Sensitivity analysis techniques applied in cloud computing environments
| Autor: | Rubens Matos, Rosangela Maria de Melo, Jamilson Dantas, Ivanildo José de Melo Filho, Fabio Denilson de Oliveira Feliciano, Aline Santana Oliveira, Maria Clara Bezerra, Paulo Maciel |
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| Rok vydání: | 2017 |
| Předmět: |
021103 operations research
Computer science business.industry Distributed computing 0211 other engineering and technologies 020206 networking & telecommunications Cloud computing 02 engineering and technology computer.software_genre Maintenance engineering Variety (cybernetics) Ranking Server Scalability 0202 electrical engineering electronic engineering information engineering Sensitivity (control systems) Data mining business Set (psychology) computer |
| Zdroj: | 2017 12th Iberian Conference on Information Systems and Technologies (CISTI). |
| DOI: | 10.23919/cisti.2017.7975950 |
| Popis: | Nowdays, several streaming servers are available to provide a variety of multimedia applications such as Video on Demand in cloud computing environments. These environments have the business potential because of the pay-per-use model, as well as the advantages of easy scalability and, up-to-date of the packages and programs. This paper uses hierarchical modeling and different sensitivity analysis techniques to determine the parameters that cause the greatest impact on the availability of a Video on Demand. The results show that distinct approaches provide similar results regarding the sensitivity ranking, with specific exceptions. A combined evaluation indicates that system availability may be improved effectively by focusing on a reduced set of factors that produce large variation on the measure of interest. |
| Databáze: | OpenAIRE |
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