Straggler root-cause and impact analysis for massive-scale virtualized cloud datacenters
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 154337804
- Type
- D - Journal article
- DOI
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10.1109/TSC.2016.2611578
- Title of journal
- IEEE Transactions on Services Computing
- Article number
- -
- First page
- 91
- Volume
- 12
- Issue
- 1
- ISSN
- 1939-1374
- Open access status
- Compliant
- Month of publication
- September
- 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)
-
D - Distributed Systems
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This empirically-driven research analysed the root-cause and impact of straggler manifestation within massive-scale Cloud datacentres. The research is first to study stragglers at scale, and involved analysing two production systems operated by global technology companies including Google. Findings have provided the cloud, fault tolerance, and distributed systems research communities with much-sought knowledge of complex phenomena within real-world systems at scale, and has been used to define fundamental research assumptions. This research was published within a special issue in IEEE Transactions on Services Computing – a top venue for Software Engineering. Findings directly underpinned successful funding of an EPSRC First Grant.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
