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CNCF Project Lightning Talks Welcome & Opening | CNCF项目闪电演讲 欢迎与开幕 - Jorge Castro, CNCF Level 2 | Grand Ballroom 1-2 Addressing Challenges of Cross-Architecture Dynamic Migration Over Heterogeneous Acceleration System | 解决异构加速系统上跨架构动态迁移的挑战 - Yanjun Chen, China Mobile Level 1 | Hung Hom Room 3 Accelerating Serverless AI Large Model Inference with Functionalized Scheduling and RDMA | 通过功能化调度和RDMA加速无服务器AI大模型推理 - Yiming Li, Tianjin University& Chenglong Wang, Jinan Inspur... Level 1 | Hung Hom Room 7 How to Increase the Throughput of Kubernetes Scheduler by Tens of Times | 如何将Kubernetes调度器的吞吐量提高数十倍 - Yuquan Ren & Bing Li, ByteDance Level 1 | Hung Hom Room 2 Securing the Supply Chain: A Practical Guide to SLSA Compliance from Build to Runtime | 保障供应链安全：从构建到运行的SLSA合规实用指南 - Enguerrand Allamel, Ledger Level 1 | Hung Hom Room 1 SIG-Multicluster Intro and Deep Dive | SIG-Multicluster介绍和深入探讨 - Jeremy Olmsted-Thompson, Google; Hongcai Ren, Huawei; Jian Qiu, Red Hat Level 1 | Hung Hom Room 6 A New Choice for Istio Data Plane: Architectural Innovation for a Brand-New Performance Experience | Istio数据平面的新选择：全新性能体验的架构创新 - Zhonghu Xu, Huawei Level 1 | Hung Hom Room 5 11:07 HKT
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Ethics in the Cloud: Safeguarding Responsible AI Development in Asia | 云计算中的伦理：在亚洲保障负责任的人工智能发展 - Quiana Berry, Red Hat Level 1 | Hung Hom Room 3 AI Inference Performance Acceleration: Methods, Tools, and Deployment Workflows | AI推理性能加速：方法、工具和部署工作流程 - Yifei Zhang & 磊 钱, Bytedance Level 1 | Hung Hom Room 7 Extend Kubernetes to Edge Using Event-Based Transport | 使用基于事件的传输将Kubernetes扩展到边缘 - Longlong Cao & Meng Yan, Red Hat Level 1 | Hung Hom Room 1 Implementing Fine-Grained and Pluggable Container Resource Management Leveraging NRI | 基于 NRI 实现精细化且可插拔的容器资源管理 - Qiang Ren, Intel & He Cao, ByteDance Level 1 | Hung Hom Room 2 Safeguarding Cloud Native Supply Chain | 保护云原生供应链-公证项目介绍，新功能和即将推出的内容 - Yi Zha, Microsoft & Mostafa Radwan, CloudRoads Level 1 | Hung Hom Room 6 Community Charter and Cookbook: The Recipe of Building Communities in the Open | 社区章程与手册：在开放中建立社区的秘诀 - Prithvi Raj, Harness Level 1 | Hung Hom Room 5 11:56 HKT
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⚡ Lightning Talk: Empower WebAssembly and Container Both on RISC-V | ⚡ 闪电演讲: 在RISC-V上加强WebAssembly和容器 - Tiejun Chen, VMware Level 1 | Hung Hom Room 1 Is Your GPU Really Working Efficiently in the Data Center? N Ways to Improve GPU Usage | 您的GPU在数据中心真的高效工作吗？提高GPU使用率的N种方法 - Xiao Zhang, DaoCloud & Wu Ying Jun, China... Level 1 | Hung Hom Room 3 Boundaryless Computing: Optimizing LLM Performance, Cost, and Efficiency in Multi-Cloud Architecture | 无边界计算：在多云架构中优化LLM性能、成本和效率 - Jian Zhu, Red Hat & Kai Zhang, Alibaba... Level 1 | Hung Hom Room 7 Enhancing Cyber Resilience Through Zero Trust Chaos Experiments in Cloud Native Environments | 通过在云原生环境中进行零信任混沌实验来增强网络安全弹性 - Sayan Mondal, Harness & Rafik Harabi... Level 2 | Grand Ballroom 1-2 Kubespray Unleashed: Navigating Bare Metal Services in Kubernetes for LLM and RAG | Kubespray大放异彩：在Kubernetes中为LLM和RAG部署裸金属服务 - Kay Yan, DaoCloud & Alan Leung, Equinix Level 1 | Hung Hom Room 2 Power TiKV with in-Memory Engine | 使用内存引擎强化 TiKV - Chenjie Tang, PingCAP Level 1 | Hung Hom Room 6 Zen and the Art of OSPO Maintenance - Group Reflection of OSPO Summits | 禅与OSPO维护的艺术-OSPO峰会的团体反思 - Nadia Jiang, SegmentFault; Richard Sikang Bian, Ant Group; Li Jiansheng, Open Source... Level 1 | Hung Hom Room 5 13:55 HKT
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Sit Back and Relax with Fault Awareness and Robust Instant Recovery for Large Scale AI Workloads | 坐和放宽，了解大规模 AI 负载场景下的故障感知和健壮的快速故障恢复 - Fanshi Zhang... Level 1 | Hung Hom Room 3 How Fast Can Your Model Composition Run in Serverless Inference? | 您的模型组合在无服务器推理中可以运行多快？ - Fog Dong, BentoML & Wenbo Qi, Ant Group Level 1 | Hung Hom Room 7 Implementing Seamless Connectivity and Service Governance in Multi Kubernetes Cluster with ZTM | 在多个Kubernetes集群中使用ZTM实现无缝连接和服务治理 - Xiaohui Zhang, Flomesh Level 1 | Hung Hom Room 1 Strengthening Container Security: A Collaborative Journey | 加强容器安全性：共同的旅程 - Yi Zha, Microsoft & Beltran Rueda Borrego, VMware (part of Broadcom) Level 2 | Grand Ballroom 1-2 Tackling Operational Time-to-Market Decelerators in AI/ML Projects | 应对人工智能/机器学习项目中的运营时间市场减速器 - Adrian Matei & Andreea Munteanu, Canonical Level 1 | Hung Hom Room 2 OpenTelemetry Community Update | OpenTelemetry社区更新 - Zihao Rao, Huxing Zhang & Wanqi Yang, Alibaba Cloud; Jared Tan, DaoCloud Level 1 | Hung Hom Room 6 Linux Kernel CVEs, What Has Caused So Many to Suddenly Show Up? | Linux内核CVE漏洞，为什么突然出现这么多？ - Greg Kroah-Hartman, Kernel Maintainer & Linux Fellow Level 1 | Hung Hom Room 5 16:25 HKT
Simplify AI Infrastructure with Kubernetes Operators | 使用Kubernetes Operators简化AI基础设施 - Ganeshkumar Ashokavardhanan, Microsoft & Tariq Ibrahim US, NVIDIA Level 1 | Hung Hom Room 3 Istio and Modern API Gateways: Navigating the Future of Service Meshes | Istio和现代API网关：引领服务网格的未来 - Jimmy Song & Jianpeng He, Tetrate; Jiaqi Zhang, Alibaba Cloud; Jintao Zhang, Kong... Level 1 | Hung Hom Room 1 Leverage Topology Modeling and Topology-Aware Scheduling to Accelerate LLM Training | 利用拓扑建模和拓扑感知调度加速LLM训练 - William Wang, Huawei Level 1 | Hung Hom Room 7 Time Series Database on Kubernetes: Efficient Management of Massive Internet of Vehicles Data | Kubernetes上的时序数据库：高效管理海量物联网车辆数据 - Vicky Lee, Huawei Cloud Computing Technology... Level 2 | Grand Ballroom 1-2 Unleashing the Power of Cluster API: Extensibility and Customization | 释放Cluster API的力量：可扩展性和定制化 - Zain Malik, CityStorageSystems & Nibir Bora, Startup Level 1 | Hung Hom Room 2 XRegistry - Looking Beyond CloudEvents | xRegistry - 超越CloudEvents - Leo Li, Red Hat Level 1 | Hung Hom Room 6 Scorecard: Assessments Made Easy | Scorecard：让开源项目评估更轻松 - Ram Iyengar, Cloud Foundry Foundation Level 1 | Hung Hom Room 5 16:30 HKT
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Unlocking Heterogeneous AI Infrastructure K8s Cluster: Leveraging the Power of HAMi | 解锁异构AI基础设施K8s集群：发挥HAMi的力量 - Xiao Zhang, DaoCloud & Mengxuan Li, The 4th Paradigm Level 1 | Hung Hom Room 3 How to Manage Database Clusters Without a Dedicated Operator | 如何在没有专门Operator的情况下管理数据库集群 - Shanshan Ying, ApeCloud & Shun Ding, China Mobile Cloud Level 1 | Hung Hom Room 2 Leveraging Wasm for Portable AI Inference Across GPUs, CPUs, OS & Cloud-Native Environments | 利用Wasm在GPU、CPU、操作系统和云原生环境中进行可移植的AI推理 - Miley Fu & Hung-Ying Tai, Second... Level 1 | Hung Hom Room 7 Multi-Cluster Networking and Service Discovery Leveraging NRI | 利用NRI的多集群网络和服务发现 - LingMing Xia, Purple Mountain Laboratories & Di Xu, Xiaohongshu Level 1 | Hung Hom Room 1 Enhancing Application Delivery with KubeVela: Introducing the New Cuex Feature | 通过KubeVela增强应用交付：介绍新的Cuex功能 - Fog Dong, BentoML Level 1 | Hung Hom Room 6 18:00 HKT
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VeScale: A PyTorch Native LLM Training Framework | veScale：一个PyTorch原生LLM训练框架 - Hongyu Zhu, ByteDance Level 1 | Hung Hom Room 3 Beyond the Basics: Towards Making Thanos Production-Ready | 超越基础：朝着使Thanos达到生产就绪状态的方向前进 - Benjamin Huo & Junhao Zhang, QingCloud Technologies Level 2 | Grand Ballroom 1-2 Building a High-Performance Time Series Database from Scratch: Optimization Strategies | 从零开始构建高性能时序数据库：优化策略 - Aliaksandr Valialkin & Hui Wang, VictoriaMetrics Level 1 | Hung Hom Room 2 Redefining Service Mesh: Leveraging EBPF to Optimize Istio Ambient Architecture and Performance | 重新定义服务网格：利用eBPF优化Istio环境架构和性能 - Yuxing Zeng, Alibaba Cloud Level 1 | Hung Hom Room 1 Unlocking Scalability and Simplifying Multi-Cloud Management with Karmada and PipeCD | 使用Karmada和PipeCD解锁可扩展性并简化多云管理 - Khanh Tran, CyberAgent, Inc. & Hongcai Ren, Huawei Level 1 | Hung Hom Room 7 How Volcano Enable Next Wave of Intelligent Applications | 如何让 Volcano 激活下一波智能应用 - Xuzheng Chang, Huawei Cloud Technologies Co., LTD Level 1 | Hung Hom Room 6 Security Threat Model Analysis and Protection Practice in Edge Computing Scenarios | 边缘计算场景中的安全威胁模型分析和保护实践 - Yue Bao, Huawei & Huan Wei, HarmonyCloud Level 1 | Hung Hom Room 5 12:25 HKT
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Model Openness Framework: The Path to Openness, Transparency and Collaboration in Machine Learning Models | 模型开放框架：机器学习模型中开放性、透明度和协作的路径 - Matt White, The Linux... Level 1 | Hung Hom Room 3 Choose Your Own Adventure: The Struggle for Security | 选择你的冒险：安全之战 - Whitney Lee, VMware Tanzu & Viktor Farcic, Upbound Level 1 | Hung Hom Room 2 Implement Auto Instrumentation Under GraalVM Static Compilation on OTel Java Agent | GraalVM 静态编译下 OTel Java Agent 的自动增强方案与实现 - Zihao Rao, Alibaba Cloud Level 2 | Grand Ballroom 1-2 Testing and Release Patterns for Crossplane | 跨平面的测试和发布模式 - Yury Tsarev & Steven Borrelli, Upbound Level 1 | Hung Hom Room 7 Unified Management, Continuity, Compliance in Multi-Clouds with Service Mesh | 在多云环境中通过服务网格实现统一管理、连续性和合规性 - Kebe Liu, DaoCloud Level 1 | Hung Hom Room 1 Gateway API and Beyond: Introducing Envoy Gateway's Gateway API Extensions | 网关API及更多：介绍Envoy网关的网关API扩展 - Huabing Zhao, Tetrate Level 1 | Hung Hom Room 6 OS Migration Solution on Cloud | 云上操作系统迁移解决方案 - Jianlin Lv, eBay Level 1 | Hung Hom Room 5 14:00 HKT
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Empower Large Language Models (LLMs) Serving in Production with Cloud Native AI Technologies | 利用云原生人工智能技术在生产环境中赋能大型语言模型(LLMs) - Lize Cai, SAP & Yang Che, Alibaba... Level 1 | Hung Hom Room 3 KubeSkoop: Deal with the Complexity of Network Issues and Monitoring with eBPF | KubeSkoop：使用eBPF处理网络问题和监控的复杂性 - Yutong Li, Alibaba Cloud & Bingshen Wang, AlibabaCloud Level 2 | Grand Ballroom 1-2 OpAMP: Scaling OpenTelemetry with Flexibility | OpAMP：灵活扩展OpenTelemetry - Husni Alhamdani, CNCF Ambassador & Herbert Sianturi, Krom Bank Indonesia Level 1 | Hung Hom Room 6 Revolutionizing Scientific Simulations with Argo Workflows | 用Argo工作流彻底改变科学模拟 - ShaungKun Tian & YaShi Su, Alibaba Cloud Level 1 | Hung Hom Room 1 Kubernetes Community Panel: A Decade of Evolution and Future Trends | Kubernetes维护者圆桌：十年演变与未来趋势 - Paco Xu & Mengjiao Liu, DaoCloud; Qiming Teng, Freelance; Klaus Ma, Nvidia; Pengfei... Level 1 | Hung Hom Room 2 Leveraging Multi-Cluster Architecture for Resilient and Elastic Hybrid Cloud at Xiaohongshu - Feng Xiong, 小红书 & Hongcai Ren, Huawei Level 1 | Hung Hom Room 7 In the Post-Gen GenAI World, Talent Is Something You Build, Not Buy | 在后代人工智能世界中，人才是培养出来的，而不是购买的 - Clyde Seepersad, The Linux Foundation Level 1 | Hung Hom Room 5 16:25 HKT
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Boosting LLM Development and Training Efficiency: Automated Parallelization with MindSpore | 提升大语言模型开发和训练效率：使用MindSpore实现自动并行化 - Yiren Xing, Huawei Level 1 | Hung Hom Room 7 Breaking Boundaries: TACC as an Unified Cloud-Native Infra for AI + HPC | 打破界限：TACC作为AI + HPC统一云原生基础设施 - Peter Pan, DaoCloud & Kaiqiang Xu, Hong Kong University of Science and Te... Level 1 | Hung Hom Room 3 Deep Dive Into Windows CSI Driver HostProcess Containers | 深入探讨Windows CSI驱动程序HostProcess容器 - Andy Zhang (OSTC) & Weizhi Chen, Microsoft Level 2 | Grand Ballroom 1-2 Optimize LLM Workflows with Smart Infrastructure Enhanced by Volcano | 通过Volcano增强的智能基础设施优化LLM工作流程 - Xin Li, qihoo360 & Xuzheng Chang, Huawei Cloud Technologies Co., LTD Level 1 | Hung Hom Room 2 Unlocking LLM Performance with EBPF: Optimizing Training and Inference Pipelines | 通过eBPF解锁LLM性能：优化训练和推理管道 - Yang Xiang, Yunshan Networks, Inc. Level 1 | Hung Hom Room 1 Containerd: Project Update and Deep Dive | Containerd：项目更新和深入探讨 - Akhil Mohan, VMware & Iceber Gu, DaoCloud Level 1 | Hung Hom Room 6 CubeFS Boosts Efficiency of AI Production | CubeFS提高了AI生产的效率 - Chi He, OPPO Level 1 | Hung Hom Room 5 11:25 HKT
Beyond Statefulset: Containerize Your Enterprise Stateful Applications in Practice | 超越StatefulSet：实践中将企业有状态应用容器化 - Mingshan Zhao, Alibaba Cloud & Vec Sun, xiaohongshu Level 1 | Hung Hom Room 1 LLM's Anywhere: Browser Deployment with Wasm & WebGPU | LLM随处可用：使用Wasm和WebGPU进行浏览器部署 - Joinal Ahmed, Navatech Group & Nikhil Rana, Google Cloud Level 1 | Hung Hom Room 3 New Advances for Cross-Platform AI Applications in Docker | Docker中跨平台AI应用程序的新进展 - Michael Yuan, Second State Level 1 | Hung Hom Room 2 Rollout Patterns: Smoothly Migrating and Rolling Out Your Microservices | 部署模式：平稳迁移和部署您的微服务 - Tim Xiao, DaoCloud Level 1 | Hung Hom Room 7 TiDB: Your Next MySQL Is Not a MySQL | TiDB：你的下一个 MySQL 何必是 MySQL - Qizhi Wang, PingCAP Level 2 | Grand Ballroom 1-2 Next Steps for the Ingress-NGINX Project | Ingress-NGINX项目的下一步计划 - Jintao Zhang, Kong Inc. Level 1 | Hung Hom Room 6 How Does KubeEdge Build the Tunnel Which Is Secure, Trusted, and Adaptable to Edge Networks | KubeEdge如何构建适应边缘网络的安全可信隧道 - Wei Hu, DaoCloud & Clement Richard, n-hop Level 1 | Hung Hom Room 5 11:45 HKT
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Constructing the 10x Efficiency of Cloud-Native AI Infrastructure | 如何让你的 AI 底座效能提升 10 倍？ - Peter Pan, DaoCloud & 秋萍 戴, daocloud Level 1 | Hung Hom Room 2 Write Once Run Anywhere, but for GPUs | GPU 时代的“一次编写，到处运行” - Michael Yuan, Second State Level 1 | Hung Hom Room 3 Build Container Runtime Based on Sandbox API of Containerd | 基于Containerd的Sandbox API构建容器运行时 - Shaobao Feng, Huawei Cloud & Cai Wei, DaoCloud Level 1 | Hung Hom Room 1 JuiceFS CSI in Multi-Thousand Node Kubernetes Clusters for LLM Pre-Training | JuiceFS CSI在LLM预训练中用于几千节点Kubernetes集群 - Weiwei Zhu, juicedata Level 2 | Grand Ballroom 1-2 What if Your System Experiences an Outage? Let's Build a Resilient Systems with Chaos Engineering | 如果您的系统遇到故障怎么办？让我们通过混沌工程构建弹性系统 - NamKyu Park, LitmusC... Level 1 | Hung Hom Room 7 Inplace-Update: The Past, Present and Future | 原地更新：过去、现在和未来 - Zhang Zhen & Mingshan Zhao & Yuxing Yuan, Alibaba Cloud Level 1 | Hung Hom Room 6 Java Me Smarter: Unleashing AI Power with Quarkus | Java让我更聪明：用Quarkus释放人工智能的力量 - Daniel Oh, Red Hat Level 1 | Hung Hom Room 5 14:10 HKT
Unveiling the Future: Nurturing Openness in AI Development | 揭示未来：培育人工智能开放性发展 - Anni Lai, Futurewei & Mer Joyce, Do Big Good LLC Level 1 | Hung Hom Room 3 Developing a Standard Multi-Cluster Inventory API | 开发标准的多集群Inventory API - Zhiying Lin & Chen Yu, Microsoft; Hongcai Ren, Huawei; Di Xu, Xiaohongshu; Jian Qiu, Red Hat Level 1 | Hung Hom Room 1 KuaiShou's 100% Resource Utilization Boost: 100K Redis Migration from Bare Metal to Kubernetes | 快手的100%资源利用率提升：从裸机迁移100K Redis到Kubernetes - XueQiang Wu, ApeCloud & YuXing Liu... Level 1 | Hung Hom Room 5 Model Service Mesh: A New Paradigm for Large-Scale AI Model Service Deployment and Management | 模型服务网格：大规模AI模型服务部署和管理的新范式 - Xi Ning Wang, Alibaba Cloud & Huailong Zhang... Level 1 | Hung Hom Room 2 Opportunities and Challenges of Cloud Native Technology in US Healthtech | 美国健康科技中云原生技术的机遇与挑战 - Katerina Arzhayev, SUSE Level 1 | Hung Hom Room 7 Ensuring Success with Kyverno in Production: What You Must Know | 在生产环境中确保Kyverno成功：你必须知道的事项 - Shuting Zhao, Nirmata Level 1 | Hung Hom Room 6 Valkey - Overview and Outlook - Dirk Hohndel, Verizon Level 2 | Grand Ballroom 1-2 14:30 HKT
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Detecting and Overcoming GPU Failures During ML Training | 在ML训练过程中检测和克服GPU故障 - Ganeshkumar Ashokavardhanan, Microsoft & Sarah Belghiti, Wayve Level 1 | Hung Hom Room 3 Expanding Cloud Native Capabilities with WASM: A Case Study of Harbor and WASM Integration | 通过WASM扩展云原生能力：Harbor和WASM集成案例研究 - Chenyu Zhang, AntGroup & Yan Wang, Broadcom Level 1 | Hung Hom Room 1 No More Runtime Setup! Let's Bundle, Distribute, Deploy, Scale LLMs Seamlessly with Ollama Operator | 无需运行时设置！让我们使用Ollama Operator轻松捆绑、分发、部署、扩展LLMs - Fanshi Zhang... Level 1 | Hung Hom Room 2 The Challenges of Kubernetes Data Protection - Real Examples and Solutions with Velero | Kubernetes数据保护的挑战- Velero的真实案例和解决方案 - Wenkai Yin, Broadcom & Bruce Zou, Shanghai Jibu T... Level 2 | Grand Ballroom 1-2 The Experience of ChillyRoom Developing & Managing Session-Based Game on K8s with OpenKruiseGame | 在K8s上使用OpenKruiseGame开发和管理基于会话的游戏的ChillyRoom经验 - Qiuyang Liu, Alibaba Cloud... Level 1 | Hung Hom Room 7 Dragonfly: Intro, Updates and Ant Group's Practice of Accelerating Model Distribution in Ray Serving | Dragonfly：介绍、更新和蚂蚁集团在Ray Serving中加速模型分发的实践 - Wenbo Qi, Ant Group... Level 1 | Hung Hom Room 6 The Bang! - When Bad Things Happen to Your Data | 爆炸！- 当数据出问题时 - Kelvin Mun, Veeam Software Level 1 | Hung Hom Room 5
