(Including but not limited to the following topics)
Track 1: Cloud Computing
Cloud computing systems and architectures
Edge computing and 5G
Edge computing systems and architectures
Cloud-centric network architectures
Social and mobile cloud applications
Cloud security and privacy
Large-scale cloud applications
SDN and data center networks
Cryptographic algorithms and protocols
Fault tolerance, high availability, and reliability
Resources, energy, and data management
Cloud computing for big data and grid computing
Cloud computing models, simulations, design, and examples
Cloud computing technologies, services, and applications
Cloud computing and semantic web technologies
Cloud middleware frameworks
Cloud resource virtualization and composition
Infrastructure and platforms for intelligent computing
Cloud optimization and automation
Cloud quality and performance
Track 2: Edge Computing
Edge computing node architectures, deployment, and resource orchestration
Edge-cloud collaborative task offloading and data collaborative processing
Edge intelligence and end-side inference optimization technologies
Federated learning, distributed machine learning, and privacy protection in edge computing
Integration of IoT and edge computing applications
Edge caching, content delivery networks (CDN), and real-time stream processing
Edge computing communication protocol optimization and 5G/6G integration
Space-air-ground integrated edge computing (satellite/ UAV)
Track 3: Distributed Systems
Distributed storage systems, key-value storage, and new storage media
Performance optimization of distributed computing frameworks (MapReduce, Spark, Flink)
Reliability, fault detection, and recovery mechanisms of distributed systems
Distributed data management, partitioning, and replication strategies
Blockchain, distributed ledgers, and smart contract systems
Distributed tracking, monitoring, and observability technologies
Distributed training and inference systems for AI/ML
Challenges in distributed systems in the era of large models (model parallelism, data parallelism)
Digital twins and distributed simulation platforms
Green computing, energy efficiency optimization, and sustainable distributed systems
Security, privacy protection, and trusted computing of distributed systems ......