Cargando…
Intelligent scaling for 6G IoE services for resource provisioning
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 s...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576555/ https://www.ncbi.nlm.nih.gov/pubmed/34805508 http://dx.doi.org/10.7717/peerj-cs.755 |
_version_ | 1784595900511813632 |
---|---|
author | Alharbi, Abdullah Alyami, Hashem M, Poongodi Rauf, Hafiz Tayyab Kadry, Seifedine |
author_facet | Alharbi, Abdullah Alyami, Hashem M, Poongodi Rauf, Hafiz Tayyab Kadry, Seifedine |
author_sort | Alharbi, Abdullah |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8576555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85765552021-11-19 Intelligent scaling for 6G IoE services for resource provisioning Alharbi, Abdullah Alyami, Hashem M, Poongodi Rauf, Hafiz Tayyab Kadry, Seifedine PeerJ Comput Sci Algorithms and Analysis of Algorithms 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. PeerJ Inc. 2021-10-26 /pmc/articles/PMC8576555/ /pubmed/34805508 http://dx.doi.org/10.7717/peerj-cs.755 Text en ©2021 Alharbi et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Algorithms and Analysis of Algorithms Alharbi, Abdullah Alyami, Hashem M, Poongodi Rauf, Hafiz Tayyab Kadry, Seifedine Intelligent scaling for 6G IoE services for resource provisioning |
title | Intelligent scaling for 6G IoE services for resource provisioning |
title_full | Intelligent scaling for 6G IoE services for resource provisioning |
title_fullStr | Intelligent scaling for 6G IoE services for resource provisioning |
title_full_unstemmed | Intelligent scaling for 6G IoE services for resource provisioning |
title_short | Intelligent scaling for 6G IoE services for resource provisioning |
title_sort | intelligent scaling for 6g ioe services for resource provisioning |
topic | Algorithms and Analysis of Algorithms |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576555/ https://www.ncbi.nlm.nih.gov/pubmed/34805508 http://dx.doi.org/10.7717/peerj-cs.755 |
work_keys_str_mv | AT alharbiabdullah intelligentscalingfor6gioeservicesforresourceprovisioning AT alyamihashem intelligentscalingfor6gioeservicesforresourceprovisioning AT mpoongodi intelligentscalingfor6gioeservicesforresourceprovisioning AT raufhafiztayyab intelligentscalingfor6gioeservicesforresourceprovisioning AT kadryseifedine intelligentscalingfor6gioeservicesforresourceprovisioning |