The workshop will address key developments and strategic directions in distributed computing for high-energy physics, bringing together experts from WLCG, HSF, and the broader community through a mix of plenary and parallel sessions.
⚙️ Computing & Data Challenges
Evolution towards heterogeneous computing architectures
Preparation of Data Challenges 2027 (DC27)
Advances in data storage technologies, with a focus on tape systems
Throughput and storage capacity requirements
Smarter data handling strategies and R&D
🗺️ Strategy & Roadmap
Definition and validation of the WLCG Technical Roadmap
Clarification of roles, responsibilities, and timelines
Key updates from experiments: ATLAS TDR and CMS CDR
🖥️ Operations & Infrastructure
Token-based authentication transition and Token Grand Challenge
Evolution of accounting and information systems
AI for Operations (AIOps) to enhance efficiency and coordination
Engagement with sites and infrastructure communities and HEPIX
💻 Software & Innovation (HSF)
Common software solutions and workflow management
Training initiatives, including Machine Learning and AI,
Software sustainability and AI-assisted development.
Alignment with major initiatives: IRIS-HEP, EVERSE, and global collaborations.
🤖 Emerging Technologies
AI-driven applications and foundational models
Natural language interfaces for distributed systems
🌍 Facilities & Sustainability
Reports on facilities, operational challenges, and cost models
Discussion of resource efficiency and future sustainability
🎯 Overall Goal
Strengthen coordination across experiments, computing projects, and infrastructures, and define concrete steps towards the next generation of computing for particle physics.