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Intelligent scaling for 6G IoE services for resource provisioning
Abdullah Alharbi1, Hashem Alyami2, Poongodi M3
1Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.
Peerj. Computer Science
|November 22, 2021
Summary
This research introduces IScaler, a Deep Reinforcement Learning model for intelligent resource scaling in 6G networks. IScaler addresses Mobile Edge Computing limitations for the Internet of Everything, optimizing service placement and resource management.
Area of Science:
- Computer Science
- Telecommunications Engineering
- Artificial Intelligence
Background:
- 5G networks face limitations in supporting the expansive demands of the Internet of Everything (IoE).
- Mobile Edge Computing (MEC) requires enhanced capabilities to manage increasing service demands and limited resources.
- The evolution towards 6G cellular networking necessitates innovative solutions for resource management and service placement.
Purpose of the Study:
- To propose an intelligent model for resource scaling and service placement in 6G Mobile Edge Computing environments.
- To address the incompatibility of current 5G infrastructure with the growing needs of the Internet of Everything.
- To develop a solution that optimizes the utilization of limited MEC computing resources.
Main Methods:
- Development and application of IScaler, a Deep Reinforcement Learning (DRL) based model.
- Consideration of multiple requirements for intelligent service placement decisions.
- Architectural design for an integrated Intelligent Scaling and Placement module within MEC.
Main Results:
- IScaler demonstrates effectiveness in intelligent service placement and resource scaling for MEC.
- The model is designed to handle the complexities of 6G networking and IoE requirements.
- The research identifies architectural challenges for implementing advanced scaling and placement modules.
Conclusions:
- IScaler offers a viable solution for enhancing MEC capabilities in 6G networks.
- Intelligent resource management is crucial for empowering the Internet of Everything.
- Further architectural considerations are needed for robust intelligent scaling and placement in future networks.
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