中国计算机学会（CCF）推荐学术会议-C（计算机体系结构/并行与分布计算/存储系统）：CCGRID 2026

CCGRID 2026

The IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGrid) is the premier forum for disseminating the latest advances in distributed systems, cloud computing, systems for AI/ML, distributed intelligence and future computing paradigms. In 2026, for the first time, CCGrid will be proudly hosted in Sydney, Australia, bringing together researchers, practitioners, and industry leaders from across the globe to explore innovations shaping the future of distributed and cloud technologies.

重要信息

CCF推荐：C（计算机体系结构/并行与分布计算/存储系统）

录用率：25.1%（55/219，2025年）

时间地点：2026年5月18日-悉尼·澳大利亚

截稿时间：2025年12月1日

Call for Papers

Track 1 – Hardware Systems, Architectures, and Future Compute Platforms: Innovations in computing and networking hardware, system architectures, and emerging compute paradigms. Topics include accelerators, heterogeneous systems, reconfigurable architectures, and quantum or neuromorphic computing platforms across cloud, edge, and HPC environments. This track also covers advanced networking technologies such as software-defined networking (SDN) and high-performance interconnects for distributed systems.

Track 2 – Software Systems, Applications, and Programming Models: Advances in middleware, operating systems, programming frameworks, cloud-native systems, and distributed application development. Topics include serverless computing, microservices, container orchestration, and resource management and scheduling. This track also welcomes contributions on data-intensive systems, distributed storage architectures, and scalable data management frameworks.

Track 3 – Sustainable Computing and Green Technologies: Energy-efficient computing, carbon-aware platforms, carbon-intelligent scheduling, and sustainable systems design across the cloud-to-edge continuum. Topics also include cost-aware computing, economic modeling, and optimization of resource usage to support sustainability goals.

Track 4 – Performance Modeling, Analysis, and Optimization: Techniques for performance engineering, benchmarking, system tuning, and modeling of distributed, parallel, and cloud-based systems. Topics include optimization of scientific workflows, reproducibility-aware benchmarking methodologies, and pipeline performance engineering.

Track 5 – Security, Privacy, and Reliability: Innovative solutions for securing distributed infrastructures, enabling confidential computing, preserving data privacy, and enhancing cyber-resilience. Topics include trustworthy systems, intrusion detection, self-healing mechanisms, and approaches for building robust, fault-tolerant, and reliable computing platforms.

Track 6 – Systems for AI/ML and Distributed Intelligence: Techniques and systems for scalable and efficient execution of AI/ML workloads across distributed platforms, addressing challenges in foundation models, model serving, and MLOps, including the compute continuum, osmotic computing, and liquid computing. Topics include edge intelligence, collaborative and federated learning, and system-level support for distributed AI.