Dynamic Decomposition of Service Function Chain Using a Deep Reinforcement Learning Approach

Chetty, Swarna Bindu, Ahmadi, Hamed orcid.org/0000-0001-5508-8757, TORNATORE, MASSIMO et al. (1 more author) (2022) Dynamic Decomposition of Service Function Chain Using a Deep Reinforcement Learning Approach. IEEE Access. ISSN 2169-3536

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Item Type: Article
Authors/Creators:
Dates:
  • Published (online): 21 October 2022
  • Accepted: 12 October 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 21 Oct 2022 09:50
Last Modified: 19 Mar 2025 00:10
Published Version: https://doi.org/10.1109/ACCESS.2022.3215744
Status: Published online
Refereed: Yes
Identification Number: 10.1109/ACCESS.2022.3215744
Open Archives Initiative ID (OAI ID):

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Description: Dynamic Decomposition of Service Function Chain Using a Deep Reinforcement Learning Approach

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