To address the dynamic evolution of computer science and the rapidly advancing frontier technologies in the field, 2025 4th International Conference on Cloud Computing, Performance Computing and Deep Learning will be held on October 31-November 2 2025, in Shanghai, China.  

The topics of interest for submission include, but are not limited to:

◕ Cloud Computing

· Cloud and grid computing for big data
· Cloud Application Architectures
· Cloud Application Scalability and Availability
· Cloud Applications Performance and Monitoring
· Cloud computing and semantic web technologies
· Cloud Computing Architecture and Systems
· Cloud Computing Models, Simulations, Designs, and Paradigms
· Cloud Computing Technologies, Services and Applications
· Cloud Middleware Frameworks
· Cloud Optimization and Automation
· Cloud Resource Virtualization and Composition
· Distributed, and Peer-to-peer Search
· Infrastructure and platform for smart computing
· Models and tools for smart computing

◕ Performance Computing
· Edge/Fog Computing
· Crowdsourcing Systems
· Cyber Physical Systems
· Data Centers and Cloud Computing
· Embedded Systems
· Internet of Things
· Network Design and Protocols
· Multimedia Networking
· Security and Privacy
· Ubiquitous Computing
· Software Defined Networking
· Fundamental Theory and Algorithms
· Information Centric Networking
· Mobile Augmented/Virtual/Mixed Reality
· Blockchain and Distributed Ledger
· Internet Services and Network Management
· Mobile Ad Hoc, Sensor and Mesh Networks
· Network Information Assurance and Security
· Social Network Analysis
· Performance Evaluation and Modeling
· Smart Home Networks
· Wireless Communication and Networks
· Workload Characterization
· Deep Learning and Machine Learning for Networking and System

◕ Deep Learning
· Caption generation
· Cognitive architectures
· Commonsense reasoning
· Intelligent agents
· Machine learning
· Narrative intelligence
· Visual reasoning
· Image processing
· Information retrieval and reuse
· Intelligent tutoring systems
· Recommender systems
· Text reuse
· User modeling