Energy prediction for I/O intensive workflow applications
As workflow-based data-intensive applications have become increasingly popular, the lack of support tools to aid resource provisioning decisions, to estimate the energy cost of running such applications, or simply to support configuration choices has become increasingly evident. The goal of this the...
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Language: | English |
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University of British Columbia
2014
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Online Access: | http://hdl.handle.net/2429/50405 |