An analysis of failure-related energy waste in a large-scale cloud environment
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 154337840
- Type
- D - Journal article
- DOI
-
10.1109/TETC.2014.2304500
- Title of journal
- IEEE Transactions on Emerging Topics in Computing
- Article number
- -
- First page
- 166
- Volume
- 2
- Issue
- 2
- ISSN
- 2168-6750
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2014
- 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
-
3
- Research group(s)
-
D - Distributed Systems
- Citation count
- 29
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This empirically-driven work is the first research to provide real-world insight into the relationship between energy consumption and failure of production Cloud data centres. This comprised conducting a comprehensive analysis and modeling of failure and energy patterns within a 12,500 server system operated by Google. Research findings uncovered substantial energy waste due to software inefficiency, and provided researchers and practitioners with key insights to derive fundamental assumptions of system operation, which has been used extensively for evaluation proposed mechanisms via simulation and experimentation. This work was published within a special issue of an IEEE Transactions computing journal.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
