García, Ángel Gama, Alcaraz Calero, Jose M., Mora Mora, Higinio and Wang, Qi (2024). ServiceNet: resource-efficient architecture for topology discovery in large-scale multi-tenant clouds. Cluster Computing, 27 (7), pp. 8965-8982.
Abstract
Modern computing infrastructures are evolving due to virtualisation, especially with the advent of 5G and future technologies. While this transition offers numerous benefits, it also presents challenges. Consequently, understanding these complex systems, including networks, services, and their interconnections, is crucial. This paper introduces ServiceNet, a groundbreaking architecture that accurately performs the important task of providing understanding of a multi-tenant architecture by discovering the complete topology, crucial in the realm of high-performance distributed computing. Experimental results have been carried out in different scenarios in order to validate our approach, demonstrating the effectiveness of our approach in comprehensive multi-tenant topology discovery. The experiments, involving up to forty tenant, highlight the adaptability of ServiceNet as a valuable tool for real-time monitoring in topology discovery purposes, even in challenging scenarios.
Publication DOI: | https://doi.org/10.1007/s10586-024-04344-3 |
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Divisions: | College of Engineering & Physical Sciences College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies Aston University (General) |
Funding Information: | This work is in part funded by the European Commission Horizon 2020 5G-PPP Program under Grant Agreement Number: H2020-ICT-2020-2 / 101017226 “6G BRAINS: Bringing Reinforcement learning Into Radio Light Network for Massive Connections”. |
Additional Information: | Copyright © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ |
Uncontrolled Keywords: | topology discovery,distributed computing,resource management,multi-tenancy,5G networks |
Publication ISSN: | 1573-7543 |
Last Modified: | 18 Apr 2025 07:25 |
Date Deposited: | 17 Apr 2025 15:09 |
Full Text Link: | |
Related URLs: |
https://link.sp ... 586-024-04344-3
(Publisher URL) |
PURE Output Type: | Article |
Published Date: | 2024-10 |
Published Online Date: | 2024-04-13 |
Accepted Date: | 2024-02-05 |
Authors: |
García, Ángel Gama
Alcaraz Calero, Jose M. ( ![]() Mora Mora, Higinio Wang, Qi |