WebAssembly-Based FaaS Framework with Distributed Machine Learning Capabilities
利用WebAssembly和Ray创建轻量级、安全的FaaS平台，支持分布式机器学习任务，扩展语言支持，简化应用程序移植过程。
Plan 9: The Better UNIX - A Comprehensive Overview
Entdecken Sie Plan 9, das elegante UNIX-Nachfolgesystem mit konsequentem "Alles ist eine Datei"-Prinzip. Erfahren Sie mehr über seine Geschichte, Entwicklung und einzigartige Funktionen in Netzwerken und grafischen Oberflächen.
The State and Future of WebAssembly in Dapr
探讨WebAssembly在Dapr中的应用历史和未来发展,介绍如何利用Dapr的中间件组件和绑定API实现自定义处理流水线,连接外部资源进行高效处理。
Sailing Ray Workloads with KubeRay and Kueue in Kubernetes
探索KubeRay和Kueue如何在Kubernetes中优化Ray工作负载管理，解决资源分配和作业调度挑战，提高机器学习工作流程效率。
Machine Learning Pipeline Using Streaming IoT Sensor Data
ストリーミングIoTセンサーデータを活用した実用的な機械学習パイプラインの構築方法を紹介。MapRとH2Oを使用し、リアルタイム予測を実現する大規模IoTシステムの実装プロセスを解説。
Crea tu Propio Laboratorio de Big Data con MicroK8s y Spark
Aprende a crear un laboratorio de Big Data utilizando Spark y MicroK8s. Descubre cómo emular una arquitectura de datos y practica habilidades esenciales para el análisis de grandes volúmenes de información.
Application and Practice of Data Integration Technology at Xiaomi
Explore Xiaomi's data integration technology, including service evolution, self-developed engine capabilities, and platformization practices. Gain insights into real-world solutions for data synchronization and heterogeneous system integration.
Trustworthy Data Analytics in the Cloud Using SGX
Explore trustworthy cloud-based data analytics using SGX technology. Learn about VC3, a system enabling secure MapReduce computations while preserving confidentiality and integrity of code and data.
Succeeding with Secure Access Service Edge (SASE) - Implementing SASE Architecture
Discover how to implement SASE architecture, reducing complexity and costs while enhancing security, performance, and accessibility for distributed users and data.
Turing Lecture - Dr Cynthia Dwork, Privacy-Preserving Data Analysis
Explore differential privacy and its role in protecting data during complex analysis. Learn about the risks of data accumulation and solutions for privacy-preserving statistical analysis of large datasets.
ACCL+: FPGA-Based Collective Engine for Distributed Applications
Explore ACCL+, an open-source FPGA-based collective communication library for distributed applications, offering portability, multiple protocol support, and user extensibility for enhanced performance.
Ray Summit 2022 - Robotics and AI: Challenges and Opportunities - Day 2 Keynote
Explore cutting-edge AI research and applications with Anca Dragan's keynote address at Ray Summit 2022, focusing on advancements in machine learning and distributed computing.
Password Cracking: Past, Present, Future - Keynote
Explore the evolution and future of password cracking techniques with insights from a renowned security expert. Gain valuable knowledge on cybersecurity challenges and solutions.
Distributed Computing Meets Game Theory
Explore the intersection of distributed computing and game theory, examining their synergies and applications in multi-agent systems and decision-making processes.
Model Training on Snowflake with Ray
Discover how to leverage Snowflake Container Runtime and Ray for efficient, scalable model training through a practical demonstration of performance optimization techniques.
Supercharging ETL and Analytics with Ray and Daft
Discover how Daft library enhances Ray clusters with distributed ETL capabilities, enabling seamless data processing, analytics, and ML/AI integration for scalable, high-performance workflows.
Unlocking Scalable and Efficient Data Storage with Apache Ozone
Discover how Apache Ozone revolutionizes distributed object storage, offering scalable solutions for managing massive data volumes while ensuring reliability, cost-effectiveness, and seamless integration with Hadoop ecosystem.
How Companies Are Using Tachyon, a Memory Centric Distributed Storage
Explore Tachyon, a memory-centric distributed storage system for fast big data processing. Learn about its benefits, use cases, and integration with popular frameworks like Spark and Hadoop.
Developing Scalable Machine Learning Pipelines for Gaming Industry
Explore scalable ML pipelines in gaming, leveraging Apache Spark for data-driven product development and improved user acquisition through advanced LTV modeling.
Fugue: Unifying Big Data Analytics Ecosystems for ETL and Machine Learning
Unifying big data ecosystems with Fugue: SQL-like framework for ETL and ML pipelines, compatible with Spark, TensorFlow, and more. Simplifies development, improves performance, and enhances maintainability.
Optimizing Spark SQL Jobs with Parallel and Asynchronous IO
Optimizing Spark SQL jobs through parallel and async IO techniques, including file-level and row group-level parallel read, asynchronous spill, and parquet column family, resulting in 5-30% performance improvement.