PaaS-IaaS Inter-Layer Adaptation in an Energy-Aware Cloud Environment
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-729
- Type
- D - Journal article
- DOI
-
10.1109/TSUSC.2017.2719159
- Title of journal
- IEEE Transactions on Sustainable Computing
- Article number
- -
- First page
- 127
- Volume
- 2
- Issue
- 2
- ISSN
- 2377-3782
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2017
- 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
-
6
- Research group(s)
-
E - DSS (Distributed Systems and Services)
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper reports a pioneering development in the generation of cloud computing architectures and is a key enabler in energy efficiency and Quality of Service provision (EU ASCETiC project). The reference architecture has become central to our research programme and led directly to a new EU project TANGO(€3.2M) on the exploitation of heterogeneous hardware architectures in low energy environments. The underpinning toolkit (500+ downloads) is being exploited by two multinational companies ATOS Spain (contact: ana.juanf@atos.net) and HPE Italy (contact: Lorenzo.Blasi@hpe.com) as part of their core service offerings. PhD of Mohammad Aldossary(2019) exploited the framework(https://doi.org/10.1016/j.future.2018.10.027).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
