Scopes
(Include but not limited to)
Track 1: Distributed Systems and Architecture
Distributed algorithms and concurrency theory
Distributed data management and replication consistency
Peer-to-Peer (P2P) systems and overlay networks
Distributed file systems and storage architectures
Fault tolerance, reliability and availability mechanisms
Distributed operating systems and middleware
Mobile and wireless ad hoc networks
Edge/Fog computing systems and resource scheduling
Information Physical Systems and Digital Twin (System Perspective)
Distributed graph algorithms and network algorithms
Self-organizing and self-stabilizing systems
Distributed machine learning and federated learning
Track 2: Cloud Computing and Cloud Native Technologies
Cloud computing architecture and service models (IaaS, PaaS, SaaS)
Virtualization technology and containerization technology
Cloud native application design and development
Container orchestration and Kubernetes technology
Cloud resource scheduling and elastic scalability
Cloud storage and distributed storage technologies
Cloud performance optimization and scalability
Cloud energy consumption optimization and green cloud computing
Multi-cloud and hybrid cloud management
Cloud security, privacy protection and compliance governance
Cloud databases and data management technologies
Cloud-edge-end collaborative computing architecture
Fault tolerance and high availability in cloud computing
Cloud computing service quality management and SLA
Integration of cloud computing and big data processing
Cloud computing and artificial intelligence infrastructure
Track 3: Parallel Processing and High-Performance Computing
Parallel computing theory and algorithm design
Parallel programming models and languages
Parallel algorithms and parallel numerical computing
High-performance computing architecture and systems
GPU acceleration and heterogeneous computing
FPGA and dedicated accelerator technologies
Large-scale parallel computing and scalability
Parallel computing performance modeling and optimization
Parallel I/O and storage systems
Fault tolerance and reliability in parallel computing
High-performance computing and big data processing
Integration of high-performance computing and artificial intelligence
Crossing of quantum computing and parallel computing
Edge computing and parallel processing
Energy optimization and green computing in parallel computing
Development of parallel computing software and toolchains
......
Track 1: Distributed Systems and Architecture
Distributed algorithms and concurrency theory
Distributed data management and replication consistency
Peer-to-Peer (P2P) systems and overlay networks
Distributed file systems and storage architectures
Fault tolerance, reliability and availability mechanisms
Distributed operating systems and middleware
Mobile and wireless ad hoc networks
Edge/Fog computing systems and resource scheduling
Information Physical Systems and Digital Twin (System Perspective)
Distributed graph algorithms and network algorithms
Self-organizing and self-stabilizing systems
Distributed machine learning and federated learning
Track 2: Cloud Computing and Cloud Native Technologies
Cloud computing architecture and service models (IaaS, PaaS, SaaS)
Virtualization technology and containerization technology
Cloud native application design and development
Container orchestration and Kubernetes technology
Cloud resource scheduling and elastic scalability
Cloud storage and distributed storage technologies
Cloud performance optimization and scalability
Cloud energy consumption optimization and green cloud computing
Multi-cloud and hybrid cloud management
Cloud security, privacy protection and compliance governance
Cloud databases and data management technologies
Cloud-edge-end collaborative computing architecture
Fault tolerance and high availability in cloud computing
Cloud computing service quality management and SLA
Integration of cloud computing and big data processing
Cloud computing and artificial intelligence infrastructure
Track 3: Parallel Processing and High-Performance Computing
Parallel computing theory and algorithm design
Parallel programming models and languages
Parallel algorithms and parallel numerical computing
High-performance computing architecture and systems
GPU acceleration and heterogeneous computing
FPGA and dedicated accelerator technologies
Large-scale parallel computing and scalability
Parallel computing performance modeling and optimization
Parallel I/O and storage systems
Fault tolerance and reliability in parallel computing
High-performance computing and big data processing
Integration of high-performance computing and artificial intelligence
Crossing of quantum computing and parallel computing
Edge computing and parallel processing
Energy optimization and green computing in parallel computing
Development of parallel computing software and toolchains
......
Important Dates/重要日期
- Submission Deadline: 2026.11.12
- Registration Deadline: 2026.11.19
- Conference Date: 2026.11.27
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: isubmit_paper@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
徐老师
+86-15680829715(微信同号)
1347638002
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