Sensitivity Analysis Techniques Applied in Video Streaming Service on Eucalyptus Cloud Environments
| Autor: | Rubens Matos, Rosangela Maria de Melo, Paulo Maciel, Fabio Denilson de Oliveira Feliciano, Maria Clara Bezerra, Jamilson Dantas, Aline Santana Oliveira, Ivanildo José de Melo Filho |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Service (systems architecture)
Measure (data warehouse) lcsh:T58.5-58.64 Computer science business.industry lcsh:Information technology Distributed computing availability cloud computing 020206 networking & telecommunications Cloud computing 02 engineering and technology Set (abstract data type) Ranking sensitivity analysis Server Scalability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Sensitivity (control systems) business video on demand |
| Zdroj: | Journal of Information Systems Engineering and Management, Vol 3, Iss 1, Pp-(2018) |
| ISSN: | 2468-4376 2468-2071 |
| 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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