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Course Outline
Foundations of 6G and Edge Computing
- Overview and strategic roadmap for 6G technology
- Fundamental principles and deployment frameworks for edge computing
- The integrated continuum of 6G, edge, and cloud resources alongside distributed computing models
Intelligent Edge Architecture
- Essential elements of edge infrastructure, including processing, storage, and network capabilities
- Interoperability with IoT sensors, gateways, and 6G connectivity standards
- Mechanisms for orchestrating edge services and managing system operations
6G Capabilities and Enabling Technologies
- Utilization of terahertz spectrum bands and ultra-low-latency communication protocols
- Artificial intelligence-integrated network management and intent-based orchestration systems
- Network slicing techniques and dynamic resource allocation for edge-based workloads
Data Management and Artificial Intelligence at the Edge
- Implementation of federated learning and distributed AI processing methodologies
- Real-time data analytics and event-driven architectural frameworks
- Data governance standards and privacy protections within multi-domain edge ecosystems
Edge–Cloud Collaboration Models
- Strategies for integrating hybrid and multi-cloud environments
- Techniques for workload offloading, content caching, and latency reduction
- Utilization of application programming interfaces, microservices, and containerized deployment solutions
Security and Trust in Distributed Edge Networks
- Identity verification, authentication protocols, and zero-trust security frameworks
- Measures for ensuring data integrity, encryption, and the use of trusted execution environments (TEEs)
- System resilience and disaster recovery procedures across distributed network nodes
Use Cases and Industry Applications
- Industrial automation and smart manufacturing facilities
- Autonomous vehicle systems and mobility infrastructure
- Healthcare logistics and environmental monitoring programs
- Augmented reality, virtual reality, and immersive media applications delivered at the edge
Operational and Business Implications
- Edge-as-a-Service offerings and emerging ecosystem models for government stakeholders
- Cost efficiency strategies and comprehensive lifecycle management
- Workforce development requirements and skill adaptation for the convergence of 6G and edge technologies
Workshop: Designing a 6G-Ready Edge Architecture
- Identification of workloads and services requiring low-latency processing
- Specification of network topologies and resource allocation parameters
- Development of a proof-of-concept deployment strategy and evaluation framework for government applications
Summary and Next Steps
Requirements
- Comprehension of foundational principles regarding cloud computing and network architecture
- Knowledge of Internet of Things (IoT) architectures and distributed system methodologies
- Proficiency in the design parameters for edge or hybrid infrastructure environments, particularly those tailored for government
Audience
- Information technology architects assessing the integration of edge computing capabilities with emerging network standards
- Enterprise infrastructure planners and technical solution designers
- Cloud and IoT specialists preparing for the transition to sixth-generation (6G) network evolution
21 Hours
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