(Include but not limited to)
Track 1: Cloud Computing Architecture and Platform Technologies
Cloud computing architecture design and infrastructure
Virtualization technology and containerized deployment
Serverless computing and Function as a Service (FaaS)
Cloud resource scheduling, orchestration and energy efficiency optimization
Multi-cloud, hybrid cloud and federated cloud strategies
Cloud security, trust and access management
Cloud-native application development and DevOps
Cloud storage architecture and data management
High-performance computing cloud (HPC Cloud)
Edge computing and cloud-edge collaboration
Track 2: Big Data Processing and Intelligent Analysis
Big data collection, storage, cleaning and computing technologies
Stream data processing and real-time analysis
Large-scale data mining algorithms and knowledge discovery
Machine learning and deep learning for big data processing
Graph data mining and social network analysis
Multi-source heterogeneous data fusion and cross-domain analysis
Data visualization and visual analysis technologies
Large model training and distributed model parallelism
Data governance, quality management and data lineage
Big data privacy protection and compliance technologies
Multimodal data analysis and basic model applications
Track 3: Distributed Systems and Trustful Collaboration
Distributed computing architecture and middleware technologies
Distributed consistency protocols and consensus algorithms (Paxos, Raft, PBFT, etc.)
Distributed databases and data consistency guarantee
Distributed message queues and event-driven architecture
Distributed system fault tolerance, recovery and elasticity design
Blockchain and distributed ledger technologies
Distributed system performance evaluation and optimization
Distributed collaborative algorithms and federated learning
Edge-cloud collaborative computing framework
AI operation and maintenance for distributed systems (AIOps)
......