Adaptive virtual machine consolidation framework based on performance-to-power ratio in cloud data centers
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2560
- Type
- D - Journal article
- DOI
-
10.1016/j.future.2020.05.004
- Title of journal
- Future Generation Computer Systems
- Article number
- -
- First page
- 254
- Volume
- 111
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2020
- 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
-
5
- Research group(s)
-
A - Data Science
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Supported by British Council-Newton Institutional link funding (ID:332438911), this work proposes a novel adaptive performance-to-power-ratio (PPR)-aware dynamic framework for VM consolidation in cloud data centres. Unlike previous research, this paper takes factors such as predicted resource utilization and PPR into account, leading to reductions in energy consumption, whilst maintaining the SLA violations at a reasonable level. The work includes rigorous mathematic proofs and led to further international collaboration with ECUST in China (luof@ecust.edu.cn) and externally funding from Innovate UK (Ref:134039) for the development of a new smart-farming app for smallholders in developing countries.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -