Name
Abstract | ||
|---|---|---|
Currently, many customers and broadband providers are using cloud resources, such as processing and storage, for their applications and services. With the increase of computational resources usage, elasticity has become quite attractive and a key feature in cloud computing paradigm. However, due to many technologies and strategies for providing cloud elasticity, its measurement is not obvious. Here we propose a set of metrics for measuring cloud computing elasticity based on Physics' concepts, such as strain and stress, and Microeconomics. Our experimental results show that the proposed elasticity metrics behave well towards the CPU usage. Besides, the metrics computation is simpler because it is straightforward, which speeds up the cloud elasticity evaluation. Graphical abstractDisplay Omitted HighlightsNew metrics for measuring cloud computing elasticity.Our metrics are based on Physics' and Microeconomics' concepts.Simple and straightforward elasticity computing.Easy assessment of cloud computing elasticity.Elasticity behaved well towards CPU usage. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.jnca.2016.01.015 | J. Network and Computer Applications |
Keywords | Field | DocType |
Cloud computing,Elasticity,Metrics,Performance analysis | Cloud resources,Central processing unit,CPU time,Computer science,Microeconomics,Broadband,Elasticity (economics),Computation,Distributed computing,Cloud computing | Journal |
Volume | Issue | ISSN |
63 | C | 1084-8045 |
Citations | PageRank | References |
1 | 0.35 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emanuel F. Coutinho | 1 | 3 | 3.76 |
| Paulo Antonio Leal Rego | 2 | 65 | 9.32 |
| Danielo Goncalves Gomes | 3 | 69 | 6.11 |
| José Neuman de Souza | 4 | 493 | 64.45 |