skip to main content
10.1145/3386367.3431673acmconferencesArticle/Chapter ViewAbstractPublication PagesconextConference Proceedingsconference-collections
research-article

Towards explainable artificial intelligence for network function virtualization

Published: 24 November 2020 Publication History

Abstract

Network Function Virtualization (NFV) refers to the process of running network functions in virtualized IT infrastructures as softwarized Virtual Network Functions (VNFs). Several telecom service providers are currently benefiting from this concept, as it enables a faster introduction of new network services, thereby meeting changing requirements. Following a trend initially adopted by cloud service providers, telecom service providers are also adopting de-aggregation of the VNFs into microservices (μservices). However, a μservice-based architecture that can manage a large set of diverse and sensitive network functions requires new Artificial Intelligence (AI)-based methodologies to cope with the complexity of the μservice-based NFV paradigm. This paper focuses on the use of explainable AI (XAI) for gradually migrating towards a μservices-based architecture in NFV. The paper first establishes the need for XAI to transform the NFV architecture to a μservice-based architecture and then describes some of our research objectives. Afterwards, our preliminary approach and long-term visions are provided.

References

[1]
D. Kreutz et. al. 2015. Software-Defined Networking: A Comprehensive Survey. Proc. IEEE 103, 1 (2015), 14--76.
[2]
M. Ribeiro et al. 2016. "Why Should I Trust You?": Explaining the Predictions of Any Classifier (KDD '16). ACM-KDD, New York, NY, USA, 1135--1144.
[3]
M. Nekovee et. al. 2020. Towards AI-enabled Microservice Architecture for Network Function Virtualization. IEEE COMNET (2020).
[4]
R. Mijumbi et. al. 2016. Network Function Virtualization: State-of-the-Art and Research Challenges. IEEE Communications Surveys Tutorials 18, 1 (2016), 236--262.
[5]
S. Sharma et. al. 2019. On Monolithic and Microservice Deployment of Network Functions. In IEEE Conference on Network Softwarization (NetSoft). 387--395.

Cited By

View all
  • (2024)Explainable Artificial Intelligence for Computation Offloading Optimization2024 34th International Telecommunication Networks and Applications Conference (ITNAC)10.1109/ITNAC62915.2024.10815558(1-8)Online publication date: 27-Nov-2024
  • (2023)Artificial Intelligence Approaches and Mechanisms for Big Data Analytics: A Systematic StudyREST Journal on Data Analytics and Artificial Intelligence10.46632/jdaai/2/3/12:3(1-9)Online publication date: 1-Jul-2023
  • (2023)Machine Learning-Based Anomaly Detection in NFV: A Comprehensive SurveySensors10.3390/s2311534023:11(5340)Online publication date: 5-Jun-2023
  • Show More Cited By

Index Terms

  1. Towards explainable artificial intelligence for network function virtualization

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CoNEXT '20: Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies
    November 2020
    585 pages
    ISBN:9781450379489
    DOI:10.1145/3386367
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 November 2020

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. explainable AI
    2. microservices
    3. network function virtualization

    Qualifiers

    • Research-article

    Conference

    CoNEXT '20
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 198 of 789 submissions, 25%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)21
    • Downloads (Last 6 weeks)4
    Reflects downloads up to 21 Jan 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Explainable Artificial Intelligence for Computation Offloading Optimization2024 34th International Telecommunication Networks and Applications Conference (ITNAC)10.1109/ITNAC62915.2024.10815558(1-8)Online publication date: 27-Nov-2024
    • (2023)Artificial Intelligence Approaches and Mechanisms for Big Data Analytics: A Systematic StudyREST Journal on Data Analytics and Artificial Intelligence10.46632/jdaai/2/3/12:3(1-9)Online publication date: 1-Jul-2023
    • (2023)Machine Learning-Based Anomaly Detection in NFV: A Comprehensive SurveySensors10.3390/s2311534023:11(5340)Online publication date: 5-Jun-2023
    • (2022)Multiagent-Based Data Presentation Mechanism for Multifaceted Analysis in Network Management TasksSensors10.3390/s2222884122:22(8841)Online publication date: 15-Nov-2022
    • (2022)A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and EvolutionsApplied Sciences10.3390/app1208405412:8(4054)Online publication date: 17-Apr-2022
    • (2022)Towards explainable artificial intelligence in optical networks: the use case of lightpath QoT estimationJournal of Optical Communications and Networking10.1364/JOCN.47081215:1(A26)Online publication date: 22-Nov-2022
    • (2022)Explainable Artificial Intelligence in communication networks: A use case for failure identification in microwave networksComputer Networks10.1016/j.comnet.2022.109466219(109466)Online publication date: Dec-2022
    • (2022)Artificial Intelligence in Wireless CommunicationArtificial Intelligent Techniques for Wireless Communication and Networking10.1002/9781119821809.ch20(317-334)Online publication date: 26-Feb-2022
    • (2021)Internet of Medical Things (IoMT): Overview, Emerging Technologies, and Case StudiesIETE Technical Review10.1080/02564602.2021.192786339:4(775-788)Online publication date: 23-May-2021
    • (2021)Towards Artificial Intelligence Assisted Software Defined Networking for Internet of VehiclesIntelligent Technologies for Internet of Vehicles10.1007/978-3-030-76493-7_6(191-222)Online publication date: 10-Jun-2021

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media