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Estimating Cloud Ap...
Estimating Cloud Application Performance Based on Micro-Benchmark Profiling
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- Scheuner, Joel, 1991 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Leitner, Philipp, 1982 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2018
- 2018
- Engelska.
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Ingår i: 2018 IEEE 11th International Conference on Cloud Computing (CLOUD). - 2159-6190 .- 2159-6190. - 9781538672358 ; , s. 90-97
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Abstract
Ämnesord
Stäng
- The continuing growth of the cloud computing market has led to an unprecedented diversity of cloud services. To support service selection, micro-benchmarks are commonly used to identify the best performing cloud service. However, it remains unclear how relevant these synthetic micro-benchmarks are for gaining insights into the performance of real-world applications. Therefore, this paper develops a cloud benchmarking methodology that uses micro-benchmarks to profile applications and subsequently predicts how an application performs on a wide range of cloud services. A study with a real cloud provider (Amazon EC2) has been conducted to quantitatively evaluate the estimation model with 38 metrics from 23 micro-benchmarks and 2 applications from different domains. The results reveal remarkably low variability in cloud service performance and show that selected micro-benchmarks can estimate the duration of a scientific computing application with a relative error of less than 10% and the response time of a Web serving application with a relative error between 10% and 20%. In conclusion, this paper emphasizes the importance of cloud benchmarking by substantiating the suitability of micro-benchmarks for estimating application performance in comparison to common baselines but also highlights that only selected micro-benchmarks are relevant to estimate the performance of a particular application.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- cloud computing
- performance prediction
- application benchmark
- performance
- Web application
- micro benchmark
- benchmarking
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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