Cloud benchmarking for maximising performance of scientific applications
- Submitting institution
-
University of St Andrews
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 252034331
- Type
- D - Journal article
- DOI
-
10.1109/TCC.2016.2603476
- Title of journal
- IEEE Transactions on Cloud Computing
- Article number
- 7553491
- First page
- 170
- Volume
- 7
- Issue
- 1
- ISSN
- 2168-7161
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
B - Systems
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents one of the first general purpose methodologies that allows users to quickly and simply compare the performance of a wide variety of public cloud computing resources, provided by companies such as Amazon and Google. Cloud resources are ranked in order of performance and cost effectiveness, such that a user with little domain knowledge can deploy an application on a cloud provider in order to maximise performance.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
