Conference item
Utilising Amazon Web Services to provide an on demand urgent computing facility for climateprediction.net
- Abstract:
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Climateprediction.net has traditionally been an activity that requires a large amount of computing resources from its volunteer network, whilst allowing a time-frame of weeks to months for simulations to be returned for each project. However, there is an increasing trend of projects requiring results in shorter and shorter timescales. Under no project is this clearer than in the World Weather Attribution (WWA) initiative, where we are aiming to provide in near to real-time an answer to how an...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 144.6KB)
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- Publisher copy:
- 10.1109/eScience.2016.7870927
Authors
Funding
Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Host title:
- 2016 IEEE 12th International Conference on eScience
- Journal:
- 2016 IEEE 12th International Conference on eScience Journal website
- Publication date:
- 2017-06-03
- Acceptance date:
- 2016-08-18
- DOI:
Item Description
- Pubs id:
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pubs:656735
- UUID:
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uuid:a94d54d0-21bc-40b1-84d5-4f722c1e9f32
- Local pid:
- pubs:656735
- Source identifiers:
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656735
- Deposit date:
- 2016-11-02
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2017
- Notes:
- © 2016 IEEE. This article was presented at the IEEE 12th International Conference on eScience (Baltimore, MD, USA: 23-27 October 2016). This is the accepted manuscript version of the article. The final version is available online from IEEE at: [10.1109/eScience.2016.7870927]
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