Title | ||
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Evaluating the elasticity of multimedia applications in a cloud computing environment using network metrics. |
Abstract | ||
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Actually, Internet users have a broad and varied range of possible services to access, such as enterprise applications and entertainment. These applications are increasingly generating a lot of network traffic mainly due to multimedia streaming. Cloud computing and its elasticity capability are some of the reason for such increase in multimedia traffic, once new applications and services are easily deployed in cloud environments. However, the way to measure and evaluate the elasticity is still quite varied and can be considered an open issue. In this context, this study proposes a set of elasticity metrics based on network data for evaluating multimedia applications performance. Our main contributions are: (i) metrics for elasticity evaluation in computational cloud based on network metrics; and (ii) two experiments in a private cloud, using workloads generated by benchmark to evaluate the elasticity and validating the proposed metrics.
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Year | DOI | Venue |
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2016 | 10.1145/2851613.2851630 | SAC 2016: Symposium on Applied Computing
Pisa
Italy
April, 2016 |
Field | DocType | ISBN |
Computer science,Network data,Multimedia,Elasticity (economics),Metrics,Cloud computing,The Internet | Conference | 978-1-4503-3739-7 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Emanuel F. Coutinho | 1 | 3 | 3.76 |
Paulo Antonio Leal Rego | 2 | 65 | 9.32 |
José Neuman de Souza | 3 | 493 | 64.45 |