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Intelligent scaling for 6G IoE services for resource provisioning.
Alharbi, Abdullah; Alyami, Hashem; M, Poongodi; Rauf, Hafiz Tayyab; Kadry, Seifedine.
Affiliation
  • Alharbi A; Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.
  • Alyami H; Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.
  • M P; College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
  • Rauf HT; Department of Computer Science, Faculty of Engineering & Informatics, University of Bradford, Bradford, United Kingdom.
  • Kadry S; Faculty of Applied Computing and Technology, Noroff University College, Kristiansand, Norway.
PeerJ Comput Sci ; 7: e755, 2021.
Article in En | MEDLINE | ID: mdl-34805508
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: PeerJ Comput Sci Year: 2021 Document type: Article Affiliation country: Saudi Arabia

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: PeerJ Comput Sci Year: 2021 Document type: Article Affiliation country: Saudi Arabia