Cognitive Popularity Based AI Service Sharing for Software-Defined Information-Centric Networks

Siyi Liao, Jun Wu*, Jianhua Li, Ali Kashif Bashir, Shahid Mumtaz, Alireza Jolfaei, Nida Kvedaraite

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

As an important architecture of next-generation network, Software-Defined Information-Centric Networking (SD-ICN) enables flexible and fast content sharing in beyond the fifth-generation (B5G). The clear advantages of SD-ICN in fast and efficient content distribution and flexible control make it a perfect platform for solving the rapid sharing and cognitive caching of AI services, including data samples sharing and pre-Trained models transferring. With the explosive growth of decentralized artificial intelligence (AI) services, the training and sharing efficiency of edge AI is affected. Various applications usually request the same AI samples and training models, but the efficient and cognitive sharing of AI services remain unsolved. To address these issues, we propose a cognitive popularity-based AI service distribution architecture based on SD-ICN. First, an SD-ICN enabled edge training scheme is proposed to generate accurate AI service models over decentralized big data samples. Second, Pure Birth Process (PBP) and error correction-based AI service caching and distribution schemes are proposed, which provides user request-oriented cognitive popularity model for caching and distribution optimization. Simulation results indicate the superiority of the proposed architecture, and the proposed cognitive SD-ICN scheme has 62.11% improved to the conventional methods.

Original languageEnglish
Article number9091106
Pages (from-to)2126-2136
Number of pages11
JournalIEEE Transactions on Network Science and Engineering
Volume7
Issue number4
DOIs
Publication statusPublished - 2020 Oct 1
Externally publishedYes

Keywords

  • Cognitive popularity
  • decentralized big data
  • service sharing.
  • software defined information-centric network (SD-ICN)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Computer Networks and Communications

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