Scope
IEEE JCC 2025 is the 16th edition of the annual IEEE Conference on JointCloud Computing. It brings together researchers, developers, users, and practitioners interested in cloud computing and computing intelligence. As in prior JCC conferences, JCC 2025 will foster connections between academia and industrial communities operating in the cloud space. The conference this year will take place in Tucson, Arizona, United States, from 21st to 24th July 2025, co-located with IEEE CISOSE 2025 congress.

Submission Procedure and Important Dates: Researchers and practitioners are invited to submit research papers to these conferences via conference website submission links. Please visit the conference website below for detailed topics and submission information.

Topics of Interest
We solicit original contributions on all aspects of cloud computing. We particularly encourage submissions on the research, development, and experience of cloud computing systems, acceleration of large-scale AI models (i.e., deep models/LLM models training and inference) and cross-domain networking infrastructures that enable AI applications and services. Specific topics of interest include but are not limited to the following aspects:

Administration, service level agreements, and manageability
AI/ML in joint-cloud environments
AI/ML for Distributed Systems
Blockchain systems and decentralized ledgers in joint-cloud services
Confidential computing
Cross data center data management
Cloud markets and cloud economy
Distributed and networked systems
Distributed/parallel query processing and optimization
Distributed Systems for AI/ML
Edge intelligence & AI analytics at the edge
Deployed/Emergent Applications & Infrastructures
Fault tolerance, high availability, and reliability
Internet-of-Things infrastructure and cyber-physical systems
Large-scale cloud applications
Machine learning for systems
Multi-tenancy in the cloud
Networking and communication, computing power network, emerging networking infrastructure for high-performance interconnection and LLM/AI training/inference
Operating systems and system support
Platform-as-a-Service and other cloud models
Privacy and security, privacy-aware and cross-data center data management, identity and access management, authorization, and authentication
Programming models for cloud (e.g., serverless, microservices)
Resource management, resource scheduling and provisioning
Scientific data management and workflows
Service Level Agreements (SLAs) and Service Level Objectives (SLOs)
Storage systems and new storage technologies
Sustainable Cloud Computing, energy-efficient service architectures and solutions
Tracing and monitoring systems
Transactional models and transaction processing
Virtualization, containers, and virtual machines