A Cloud-agnostic Queuing System to Support the Implementation of Deadline-based Application Execution Policies
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 073-204702-3552
- Type
- D - Journal article
- DOI
-
10.1016/j.future.2019.05.062
- Title of journal
- Future Generation Computer Systems
- Article number
- -
- First page
- 99
- Volume
- 101
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2019
- URL
-
https://www.sciencedirect.com/science/article/pii/S0167739X19303814/pdfft?md5=65b0bdda4b80fbca7f52a7f3011067dc&pid=1-s2.0-S0167739X19303814-main.pdf
- 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
-
8
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in FGCS (8/108 Computer Science: Theory and Methods 2019), the paper describes the modification of the MiCADO auto-scaling cloud middleware for simulation. Developed in the Cloud Orchestration at the Level of Application (COLA) project (H2020, Grant no. 731574) it leverages work from the FP7 CloudSME project. Adopted by over 10 companies, this work has led to increased turnover of in over GBP 2,500,000. For example, this has been adopted by Saker Solutions (CEO Shane Kite (shane.kite@sakersolutions.com)) as part of their high-performance simulation system deployed at Sellafield PLC.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
