RETRACTED: Intelligent scaling for 6G IoE services for resource provisioning (Retracted Article)

被引:4
|
作者
Alharbi, Abdullah [1 ]
Alyami, Hashem [2 ]
Poongodi, M. [3 ]
Rauf, Hafiz Tayyab [4 ]
Kadry, Seifedine [5 ]
机构
[1] Taif Univ, Coll Comp & Informat Technol, Dept Informat Technol, At Taif, Saudi Arabia
[2] Taif Univ, Coll Comp & Informat Technol, Dept Comp Sci, At Taif, Saudi Arabia
[3] Hamad Bin Khalifa Univ, Coll Sci & Engn, Doha, Qatar
[4] Univ Bradford, Fac Engn & Informat, Dept Comp Sci, Bradford, W Yorkshire, England
[5] Noroff Univ Coll, Fac Appl Comp & Technol, Kristiansand, Norway
关键词
Intelligent scaling; 6G enabled Internet of Everything; Resource enhancement; 5G; Data science; Machine learning; Deep learning; REINFORCEMENT; DEPLOYMENT; NETWORKS; WORKLOAD; VEHICLES; NODES; MODEL;
D O I
10.7717/peerj-cs.755
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页数:22
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