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

  • Ángel Gama García
  • , Jose M. Alcaraz Calero
  • , Higinio Mora Mora
  • , Qi Wang

    Research output: Contribution to journalArticlepeer-review

    73 Downloads (Pure)

    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.
    Original languageEnglish
    Pages (from-to)8965-8982
    Number of pages18
    JournalCluster Computing
    Volume27
    Issue number7
    DOIs
    Publication statusPublished - 13 Apr 2024

    Keywords

    • topology discovery
    • distributed computing
    • resource management
    • multi-tenancy
    • 5G networks

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