(Including but not limited to the following topics)
Track 1: Big Data
Data analysis/Data stream applications
Data science models and methods
Big data algorithms
Big data search and information retrieval technologies
Storage systems and platforms for big data analysis
Scalable computing models
Theories and algorithms
Big data and deep learning
Big data and high-performance computing
Big data network infrastructure, etc.
Track 2: High-performance Computing
Parallel and distributed computing
Embedded systems
Advanced algorithms
Computer modeling
Big data and cloud computing
Database applications and data mining
Computational intelligence
Network and cluster computing, Web services and Internet computing
Cloud computing, utility computing
Performance evaluation and measurement
Tools and environments for software development
High-performance scientific and engineering computing
Biological/molecular computing
Mobile computing and wireless communication, computer networks
Telecommunications, automation
Reliability and fault tolerance, trust, security and privacy, etc.
Track 3: Distributed Systems
Cloud-native architecture and microservice governance
Edge computing and fog computing systems
Serverless computing and function as a service
Distributed consistency algorithms and transaction processing
Container orchestration and resource scheduling optimization
Distributed storage systems and erasure coding technology
Multi-cloud management and hybrid cloud architecture
Distributed system fault tolerance and high availability guarantee ......