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Intelligent scaling for 6G IoE services for resource provisioning

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journal contribution
submitted on 2024-05-07, 10:31 and posted on 2024-05-07, 10:32 authored by Abdullah Alharbi, Hashem Alyami, Poongodi M, Hafiz Tayyab Rauf, Seifedine Kadry

The proposed research motivates the 6G cellular networking for the Internet of Everything’s (IoE) usage empowerment that is currently not compatible with 5G. For 6G, more innovative technological resources are required to be handled by Mobile Edge Computing (MEC). Although the demand for change in service from different sectors, the increase in IoE, the limitation of available computing resources of MEC, and intelligent resource solutions are getting much more significant. This research used IScaler, an effective model for intelligent service placement solutions and resource scaling. IScaler is considered to be made for MEC in Deep Reinforcement Learning (DRL). The paper has considered several requirements for making service placement decisions. The research also highlights several challenges geared by architectonics that submerge an Intelligent Scaling and Placement module.

Other Information

Published in: PeerJ Computer Science
License: https://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.7717/peerj-cs.755

History

Language

  • English

Publisher

PeerJ

Publication Year

  • 2021

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Science and Engineering - HBKU

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    College of Science and Engineering - HBKU

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