Building Smart Farms with Edge Computing Systems Using Kubernetes
Implementación de sistemas de computación de borde con Kubernetes para crear granjas inteligentes, optimizando la agricultura mediante tecnología avanzada.
KubeEdge Powered Edge-Devices With Next Generation Cloud Native Runtime
KubeEdge与iSula、WebAssembly结合，为边缘设备提供轻量级、跨架构的云原生运行时解决方案，实现低开销、快速启动和服务隔离，助力边缘-云协同发展。
Monitor Mesh for Edge Clusters
监控网格解决方案实现边缘云监控:集中式云作为控制面动态感知边缘集群,分发监控组件配置;边缘集群部署监控组件;数据平面使用分布式tsdb存储,确保度量数据全面性和实时性。
Run WASM Applications on Kubernetes Edge Clusters
探索在Kubernetes边缘集群上运行WebAssembly应用的可能性，讨论其潜力、挑战和实现方法，并展示基于Krustlet项目的实际应用演示。
SuperEdge: Promoting Kubernetes to the Edge - Technology Decryption
SuperEdge将Kubernetes扩展到边缘计算,解决云边协同、边缘自治等挑战。探讨SuperEdge架构、关键特性及最佳实践,揭示其如何管理大规模分布式边缘环境。
Managing Large-Scale Edge Clusters Over Unstable Networks with KubeEdge
KubeEdge管理大规模边缘集群：解决不稳定网络挑战，实现可靠的边缘应用管理。支持向大规模边缘节点发送控制事件，适应分散区域的边缘计算场景。
China Mobile's 5G Edge Computing Open Source Practice and Thinking
中国移动在5G边缘计算领域的开源实践与思考,探讨基于CNCF项目构建生态系统,分享5G MEC与区块链结合的应用案例,以及运营商在边缘计算开源方面的经验与展望。
Welcome and Opening Remarks for Cloud Native Computing Foundation Conference
Priyanka Sharma's keynote explores CNCF's growth, highlighting China's contributions, new verticals, edge computing, and Kubernetes' future in the cloud-native ecosystem.
Zero Trust Network Turnkey Solution for Service Mesh - Architecture and Implementation
零信任网络整体解决方案:高性能可扩展的安全网关和负载均衡器,支持K8s入口/出口网关和边缘云网关,实现零信任服务网格,利用VPP、DPDK和SGX等技术提升性能和安全性。
CNI-Agnostic Network Performance Accelerator with eBPF
基于eBPF的网络加速器提升CNI性能,实现内部节点TCP通信和KubeVirt网络加速,显著提高吞吐量并降低延迟,适用于边缘计算、5G等场景,无需修改底层CNI即可部署使用。
Boost ML on Heterogeneous AI Accelerators with Ray on Kubernetes
探讨如何在Kubernetes上利用Ray和图编译器自动提升异构AI加速器的机器学习性能,无需修改用户代码,实现透明的后端加速。
Edge Computing in Kubernetes - Best Practices for the Future
探讨Kubernetes中边缘计算的最佳实践，包括应对网络不稳定性、硬件多样性等挑战，并通过案例展示Kubernetes如何支持强大的边缘计算系统及未来趋势。
Extending Cloud Native Boundaries: Bringing Cloud Native Workloads to AndroidOS with KubeEdge
探索在Android设备上部署KubeEdge边缘工作负载，包括技术细节、演示和实际应用案例，展示云原生技术在移动设备领域的扩展和潜力。
Innovation in Logistics Services in the Cloud-Native Era - SF Express Case Study
SF Express's digital transformation using cloud-native tech for intelligent logistics. Leveraging Kubernetes, KubeEdge, and EdgeMesh to automate processes, improve efficiency, and create a secure edge network for real-time data handling.
Unveiling Non-Invasive Service Access Traffic Closure with KubeEdge
探索KubeEdge如何实现非侵入式服务访问流量闭环，优化边缘计算场景中的节点分组、工作负载管理和流量路由，提高跨区域应用部署效率。
LLM as a Robotic Brain: Cloud-Driven Robot Action Sequences Generated by Large Language Models
探索大型语言模型与边缘云协作在机器人领域的应用，介绍RoboPilot项目如何实现灵活部署和执行真实世界机器人，推进云原生机器人研究。
Cloud Native Edge Computing with KubeEdge - Updates and Future
KubeEdge最新进展：边缘计算框架扩展Kubernetes能力，涵盖机器人、节点、可扩展性、网络和安全等领域。探讨区块链、物流、软件定义车辆和海上油田等新应用场景。
Self-Hosted LLM Agent on Your Own Laptop or Edge Device
探索如何在个人设备上部署开源LLM代理，实现隐私保护、定制化和成本控制。使用WasmEdge和Rust构建高性能AI服务，无需复杂依赖，适用于各种平台。
Security Threat Model Analysis and Protection Practice in Edge Computing Scenarios
Analyze security threats in edge computing, explore KubeEdge's audit process, and learn protection practices for cloud-native environments. Gain insights on improving security in multi-cloud and hybrid scenarios.
AnalogML - Analog Inferencing for System-Level Power Efficiency
Explore innovative analog machine learning for ultra-low power audio event detection, enabling always-listening edge devices with improved battery life and system-level efficiency.
Dedicated Audio Processors at the Edge Are the Future of AI
Explore dedicated audio processors for edge AI, improving user interfaces with lower latency and cost. Learn about voice integration challenges and design capabilities for effective implementation.