5GTopoNet : real-time topology discovery and management on 5G multi-Tenant networks
- Submitting institution
-
University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21440830
- Type
- D - Journal article
- DOI
-
10.1016/j.future.2020.08.025
- Title of journal
- Future Generation Computer Systems
- Article number
- -
- First page
- 435
- Volume
- 114
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Compliant
- Month of publication
- August
- 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
-
3
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a novel framework for real-time discovery and management of 5G network topology of infrastructure shared with multiple virtual mobile operators to significantly reduce operating expenditure. It is the key enabler to allow upgrading the current-generation network monitoring system to the next-generation to meet the requirements of multi-tenancy management and the new business models. It is also crucial for shifting the current network monitoring and management paradigm from conventional platforms to immersive, holographic operational environments to allow more efficient operations. The work was part of the EU SliceNet project.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
