Sensitivity Analysis Techniques Applied in Cloud Computing Environments

被引：0

作者：

Melo, Rosangela ^{[1
,2
]}

Bezerra, Maria Clara ^{[1
]}

Dantas, Jamilson ^{[1
]}

Matos, Rubens ^{[1
]}

de Melo Filho, Ivanildo Jose ^{[1
,2
]}

Oliveira, Aline Santana ^{[1
]}

de Oliveira Feliciano, Fabio Denilson ^{[2
]}

Martins Maciel, Paulo Romero ^{[1
]}

机构：

[1] Univ Fed Pernambuco, Informat Ctr, Recife, PE, Brazil

[2] Fed Inst Educ Sci & Technol Pernambuco IFPE, Belo Jardim Campus, Belo Jardim, Brazil

来源：

2017 12TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI) | 2017年

关键词：

Availability; Cloud computing; Sensitivity Analysis; Video on Demand;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：7

共 22 条

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