ServiceNet: resource-efficient architecture for topology discovery in large-scale multi-tenant clouds

被引:0
作者
Garcia, Angel Gama [1 ]
Calero, Jose M. Alcaraz [1 ]
Mora, Higinio Mora [2 ]
Wang, Qi [1 ]
机构
[1] Univ West Scotland, High St, Paisley PA1 2BE, Renfrewshire, Scotland
[2] Univ Alicante, Carr San Vicente del Raspeig, Alicante 03690, Spain
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2024年 / 27卷 / 07期
基金
欧盟地平线“2020”;
关键词
Topology discovery; Distributed computing; Resource management; Multi-tenancy; 5G networks; MANAGEMENT;
D O I
10.1007/s10586-024-04344-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:8965 / 8982
页数:18
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