Abstract | ||
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Cloud service selection is a complex process that requires assessment of not only individual features of a cloud service but also its ability to interoperate with an ecosystem of cloud services. In this position paper, we address the problem by devising metrics to measure the impact of interoperability among the cloud services to guide the cloud service selection process. We introduce concrete definitions and metrics to contribute to measuring the level of interoperability between cloud services. We also demonstrate a methodology to evaluate the metrics via a use case example. Our contributions prove that the proposed metrics cover critical aspects related to interoperability in multi-cloud arena and therefore form a robust baseline to compare cloud services in systematic decision making environments. |
Year | DOI | Venue |
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2016 | 10.1007/978-3-319-53676-7_11 | Lecture Notes in Business Information Processing |
Keywords | Field | DocType |
Cloud service,Interoperability,Multi-cloud,Scoring,Decision support | Data science,Interoperability,Computer science,Digital ecosystem,Decision support system,Position paper,Community analysis,Service selection,Cloud computing | Conference |
Volume | ISSN | Citations |
278 | 1865-1348 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jaume Ferrarons | 1 | 0 | 0.34 |
Smrati Gupta | 2 | 16 | 2.46 |
Victor Muntés-Mulero | 3 | 204 | 22.79 |
Josep-Lluis Larriba-Pey | 4 | 245 | 21.70 |
Peter Matthews | 5 | 11 | 2.68 |