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EIEIO / AUTOMATION & EMERGING TECHNOLOGY

Edge Technology & Multi-access Edge Computing (MEC)

Course outline

2 days

Duration

Edge Technology & Multi-access Edge Computing (MEC)

2 days

Overview

This 2-day intermediate training program is designed to equip participants with a solid understanding of Edge Technology and Multi-access Edge Computing (MEC). It covers the key concepts of Edge Cloud technology, the requirements of Edge applications, and the architecture and security aspects related to Edge computing. Participants will gain insights into the integration with 4G/5G, fixed network slicing, and end-to-end orchestration. The training also delves into the components of the CAMARA Project, focusing on Network/Service APIs, API management, and API security.

Audience Profile

This course is ideal for IT professionals, network engineers, system architects, and technical managers who have a basic understanding of cloud technologies. It will benefit those who are looking to deepen their knowledge in Edge Computing and its applications in modern networking. A foundational course in Cloud Technologies is recommended before taking this program.

Session 1: Introduction to Edge Technology and MEC

  • The Evolution of Cloud Computing to Edge Computing
  • Defining Multi-access Edge Computing (MEC)
  • Benefits and Challenges of MEC

Session 2: Architecture and Applications of MEC

  • Edge Cloud Technology Architectures
  • Edge Applications and Requirements
  • Use Cases across Various Industries

Session 3: MEC in the 4G/5G Ecosystem

  • Integration of MEC with 4G and 5G Networks
  • Understanding Fixed Network Slicing
  • The Role of MEC in IoT and Ultra-Reliable Low Latency Communications (URLLC)

Session 4: Overview of CAMARA Project

  • Introduction to CAMARA: Objectives and Components
  • Network/Service APIs in Edge Computing
  • The Importance of API Management and Security in MEC

Session 5: Security Considerations in MEC

  • Security Architecture for Edge Computing
  • Identifying and Mitigating Risks in Edge Deployments
  • Best Practices for MEC Security

Session 6: MEC Orchestration and Management

  • Principles of End-to-End Orchestration
  • Managing MEC Resources and Services
  • Automating MEC Deployments

Session 7: API Security and Management in MEC

  • Designing Secure APIs for Edge Services
  • API Security Best Practices
  • Using API Gateways in MEC Environments

Session 8: Hands-On Lab and Q&A

  • Practical Exercises on API Management Tools
  • Implementing Network Slicing on MEC Platforms
  • Open Q&A Session to Address Specific Concerns and Scenarios

Conclusion

The training concludes with a review of key concepts and a discussion on the future trends in Edge Computing. Participants will leave with the knowledge and tools to implement and manage Edge computing solutions effectively.

Programme scope, delivery arrangements and suitability are confirmed during enquiry.