(Include but not limited to)
Track 1: Distributed Systems and Parallel Computing
Distributed computing theory and algorithms
Distributed system architecture and middleware
Distributed consensus and consistency protocols
Fault-tolerant mechanisms and high availability design
Distributed storage and file systems
Distributed databases and transaction processing
Large-scale data processing and stream computing
Distributed resource management and task scheduling
Parallel and distributed AI training
Distributed machine learning platforms
Edge computing system architecture and cloud-edge-end collaboration
Blockchain and distributed ledger technology
Distributed system performance modeling and benchmarking
Distributed system security mechanisms and privacy protection
Heterogeneous system interoperability technology
Distributed training and inference for large language models
Track 2: Cloud Computing and Cloud Native Technologies
Cloud computing architecture and infrastructure
Cloud resource management and scheduling optimization
Multi-cloud and hybrid cloud management strategies
Cloud-native applications and microservice architecture
Serverless computing and Function as a Service (FaaS)
Containerized deployment and Kubernetes orchestration
Cloud storage and data management
Cloud security and privacy protection
Cloud service quality management and SLA guarantee
Cloud cost optimization and green cloud computing
Cloud data center energy efficiency management
Cloud-edge-end collaborative computing framework
High-performance computing cloud deployment
Cloud disaster recovery and business continuity
Interoperability and standardization of heterogeneous cloud platforms
Cloud service governance and observability
Track 3: Computer Engineering and System Applications
Computer system architecture and hardware accelerators
Embedded systems and real-time computing
High-performance computing and scientific computing applications
Operating systems and runtime systems
Software-defined networking (SDN) and network function virtualization (NFV)
Internet of Things and Cyber-Physical Systems (CPS)
Digital twin systems and simulation
Computer vision and multimedia computing systems
Big data analysis and data engineering
Federated learning and decentralized AI systems
Trusted computing and zero-trust architecture
System reliability and fault injection testing
Green computing and sustainable system design
AI/ML-driven system optimization
Computer engineering education and practice
Industrial Internet and intelligent manufacturing system integration
......