An Efficient Multi-Cloud Service Composition Using A Distributed Multiagent-based, Memory-driven Approach
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 935
- Type
- D - Journal article
- DOI
-
10.1109/TSUSC.2018.2881416
- Title of journal
- IEEE Transactions on Sustainable Computing
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- 2377-3782
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2018
- 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)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper studies the intersection between intelligent multi-agent systems and cloud computing, specifically aiming to reduce the real energy costs of cloud web service composition incurred when services are distributed worldwide. It includes a comprehensive data-driven analysis of the highly relevant ICEBE05 competition dataset, showing the benefit that agent technologies can bring to the domain of cloud computing. This research was an international collaboration between academics at LJMU, The University of Melbourne, Australia (Prof. Rajkumar Buyya, rbuyya@unimelb.edu.au) and Zayed University, United Arab Emirates (Prof. Zakaria Maamar, zakaria.maamar@zu.ac.ae).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
