Low-Latency Networking for Edge Computing

High-Performance Networking & Cloud-Native · 30 illustrated lessons (text/HTML)

Outcomes

• Decompose and reduce end-to-end network latency
• Design edge placement and low-latency transport
• Apply the patterns to vehicle, gaming and smart-city workloads

Where we teach this

• TRN-201 · Low-Latency Networking for Edge Computing guided, self-paced

The lessons

Every lesson in this curriculum, in the order we teach it.

• 1Edge computing and low-latency networking overview
• 2Edge computing networking in practice: anatomy of network latency
• 3Edge computing network architecture design
• 4Low-latency transport protocol optimisation for edge computing
• 5Edge node deployment and placement strategy
• 6Low-latency networking for edge computing in practice
• 7Integrating 5G and edge computing
• 8SDN at the edge
• 9Quality-of-service assurance in edge computing
• 10Low-latency data distribution techniques
• 11Balancing security and low latency at the edge
• 12IoT protocols and low-latency adaptation
• 13Hardware acceleration for edge computing
• 14Containers and edge computing
• 15Low-latency optimisation for edge AI inference
• 16Real-time stream processing and edge computing
• 17Edge storage and data-access latency
• 18Mobility management and low latency
• 19Edge computing resource-scheduling algorithms
• 20Monitoring and diagnostic tools for low-latency edge computing
• 21Edge computing simulation and test environments
• 22Latency characteristics of open-source edge computing platforms
• 23Smart manufacturing case study
• 24Low-latency networking for smart cities in practice
• 25Edge computing in practice: a cloud-gaming case study
• 26Edge computing in practice: vehicle-road cooperation for autonomous driving
• 27Energy-efficiency optimisation for low-latency edge networks
• 28Edge computing standardisation and ecosystem
• 29Future trends: AI-driven network optimisation
• 30Low-latency networking for edge computing in practice