Abstract | ||
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Hybrid clouds are combinations of private, community and/or public clouds, and allow the creation of "cloud bursting" deployment models, in which part of the data processing is done in a private cloud and resources from public clouds are used when needed. This model is particularly interesting for CPU-intensive scientific data processing. In order to help determine in which conditions part of the whole of a large data processing task must be sent to a public or private cloud, dynamic benchmarks are required. In this paper we propose an image processing-based test bench that monitors the performance of the clouds resources to gather useful statistics and to determine which resource should be used for a specific task, in order to reduce costs and running time. |
Year | DOI | Venue |
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2013 | 10.1109/ICCSA.2013.54 | Computational Science and Its Applications |
Keywords | Field | DocType |
deployment model,performance evaluation,large data,hybrid cloud,test bench,private cloud,clouds resource,hybrid clouds,specific task,public cloud,data processing,cpu-intensive scientific data processing,conditions part,statistics,cloud computing,statistical analysis,image processing,computational modeling,algorithm design and analysis,benchmark testing | Data science,Data processing,Software deployment,Algorithm design,Cloud bursting,Test bench,Computer science,Image processing,Computer network,Database,Benchmark (computing),Cloud computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rafael D. C. Santos | 1 | 20 | 8.01 |
bernady o apduhan | 2 | 273 | 37.70 |