📖 Tutorial: Systems in the Age of AI (SysAI)
🎯 Tutorial Overview
AI workloads are rapidly reshaping system design assumptions, exposing limitations in resource management, data paths, distributed execution, and observability that were not built for large-scale, heterogeneous, and latency-sensitive AI environments. This tutorial highlights cross-layer design across kernel, runtime, and distributed layers to support AI-native workloads.
The tutorial is structured around two complementary tracks: System Operations and Optimization Acceleration in the AI Era and System and Distributed Scheduling Solutions for AI Workloads. The former focuses on heterogeneous resource management, distributed runtimes, and container-oriented data-path optimization to improve efficiency and scalability of AI execution. The latter explores how AI enhances system intelligence through observability, agent-aware scheduling, and large-model integration into system development and operational workflows.
📘 System Operations and Optimization Acceleration in the AI Era
TrIO - A Flattened and Cooperative I/O Mechanism for Container Environments
📅 Time: 09:00 - 09:40 AM
Topic Abstract:
This tutorial delves into the I/O bottleneck of container image loading and introduces a novel solution, TrIO. TrIO proposes a memory-oriented image abstraction and a runtime page cache to achieve efficient image service. TrIO is open sourced and integrated into openEuler, and published in FAST'25.
Dr. Yubo Liu
Research scientist at Huawei. Focuses on high-performance storage, memory, and HPC systems. Published in FAST and TOS. PC member for MSST, IPDPS, NAS.
🧩 Mystery Gift Piece
openYuanrong - Distributed Serverless AI Computing Engine
📅 Time: 09:40 - 10:20 AM
Topic Abstract:
This tutorial introduces openYuanrong, a Serverless distributed compute engine that unifies diverse applications, from AI and big data to microservices, on a single, streamlined architecture. It provides multi-language function interfaces that simplify the development of complex distributed applications. Powered by dynamic scheduling and efficient data sharing, openYuanrong ensures high-performance execution and maximum cluster resource utilization.
Dr. Mohamed Kassem
Principal engineer at Huawei Edinburgh. PhD from University of Edinburgh (2020). Focuses on LLM serving engines and Agentic AI. Former CTO of a multi-million tech company.
🧩 Mystery Gift Piece
📘 System and Distributed Scheduling Solutions for AI Workloads
CLYDE - Accelerating AI Artifact Distribution In Cloud Native Environment
📅 Time: 11:00 - 11:40 AM
Topic Abstract:
Clyde is an open-source, high-performance peer-to-peer acceleration engine for large-scale data delivery in AI and cloud-native environments. It leverages efficient peer discovery and local data sharing to reduce network overhead and improve distribution efficiency for artifacts such as machine learning models and software packages.
Dr. Sheriffo Ceesay
Dr. Sheriffo Ceesay is a Senior Research Engineer at Huawei, focusing on distributed systems, AI infrastructure, and cloud computing. He is also the maintainer of Clyde, an open-source peer-to-peer data acceleration engine.
🧩 Mystery Gift Piece
openEuler AgentOS - Practices of Intelligent Fault Diagnosis and Tuning in openEuler
📅 Time: 11:40 AM - 12:20 PM
Topic Abstract:
This tutorial introduces openEuler’s intelligent O&M architecture for cloud and AI infrastructure. It covers key technologies for fault diagnosis and performance optimization, including multi-Agent collaboration for root cause analysis, multi-source data integration for adaptive optimization, and experience-driven Agent skill evolution, highlighting their system-level capabilities in real-world scenarios.
Jingxiao Lu
Principal Engineer at Huawei and advocate of openEuler AgentOS. Works on openEuler Linux and cloud-native infrastructure, with hands-on experience in container engines (Docker, Kata Containers) and large-scale system deployment.
🧩 Mystery Gift Piece
Closing Speech
📅 Time: 12:20 - 12:40 PM
Abstract:
This closing session provides a brief summary of the tutorial and reflects on the key themes discussed. It also offers an overview of the Boole Research Centre and concludes with a short outlook on future directions and collaboration opportunities.
Dr. Yang Ren
Dr. Yang Ren is Director of the Huawei Edinburgh Research Centre, holding a PhD in Computer Science with a focus on database systems. He previously served as a Senior Expert at the Xi’an Research Centre, contributing to database research and development.
🎁 Collect All Puzzle Pieces & Win a Prize!
Attend all tutorials, collect every puzzle piece, and bring them to the registration desk to claim your reward.
