University of Oulu

T. Leppanen, "Distributed Artificial Intelligence with Multi-Agent Systems for MEC," 2019 28th International Conference on Computer Communication and Networks (ICCCN), Valencia, Spain, 2019, pp. 1-8. doi: 10.1109/ICCCN.2019.8846960

Distributed artificial intelligence with multi-agent systems for MEC

Saved in:
Author: Leppänen, Teemu1
Organizations: 1Center for Ubiquitous Computing, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019111137622
Language: English
Published: IEEE Computer Society Press, 2019
Publish Date: 2019-11-11
Description:

Abstract

In this paper, the Multi-access Edge Computing (MEC) system architecture, as defined by the ETSI standards, is modeled as a multi-agent system. MEC system management services and application execution components are designed as software agents, facilitating distributed artificial intelligence capabilities in their operation and cooperation. Further, the integration of current agent technologies into the standardized MEC system is discussed. Lastly, a case study is presented on how to integrate an existing Internet of Things agent framework and agent-based edge application seamlessly to the MEC system.

see all

Series: Proceedings. International Conference on Computer Communications and Networks
ISSN: 1095-2055
ISSN-E: 2637-9430
ISSN-L: 1095-2055
ISBN: 978-1-7281-1856-7
ISBN Print: 978-1-7281-1857-4
Pages: 1 - 8
DOI: 10.1109/ICCCN.2019.8846960
OADOI: https://oadoi.org/10.1109/ICCCN.2019.8846960
Host publication: 2019 28th International Conference on Computer Communication and Networks (ICCCN) July 29 – August 1, 2019 Valencia, Spain
Conference: International Conference on Computer Communication and Networks
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work is finincially supported by the Academy of Finland 6Genesis Flagship (grant 318927) and the Future Makers program of the Jane and Aatos Erkko Foundation and the Technology Industries of Finland Centennial Foundation.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.