About CloudCom
CloudCom is a premier international conference on Cloud Computing, bringing together researchers, practitioners, engineers, and students from both academia and industry. It has a long tradition of emphasizing how to build cloud computing platforms with impact. The conference is co-sponsored by the Institute of Electrical and Electronics Engineers (IEEE) and the Cloud Computing Association.
The 16th edition of CloudCom will be held in Shenzhen, China, from November 14 to 16, 2025. Every year it attracts world class researchers to explore new challenges, present leading-edge innovations, and identify emerging technologies in cloud computing, edge computing, virtualization, security and privacy, big data, systems architecture, service-oriented architecture, and high-performance computing.
Submission Details
Original and unpublished work must be submitted through the online submission system at:
https://easychair.org/conferences/?conf=cloudcom2025
Submissions should not exceed 8 pages, including tables, figures, and references in IEEE CS format. The template files for LATEX or WORD can be downloaded from the IEEE site https://www.ieee.org/conferences/publishing/templates.html. Submission must be made in PDF format only with savable text and embedded fonts.
The review process will be doubly blind, and so a submission should not include any information that may identify the authors of the manuscripts. Technical content of the camera-ready manuscript must be identical to the submitted version except for changes made to address TPC review comments.
For each accepted submission, at least one of the co-authors must have a full conference registration and present the work in person.
Original technical submissions of regular research papers, workshop proposals, and special session proposals on the following tracks are invited:
Template
You can download the standard template for Workshop/Special Session/Tutorial proposals here
Conference Tracks
Track 1: Architecture, Storage, and Virtualization
- Virtual Machines (VMs), containers, unikernels and micro-services
- Cloud services delivery models & "last mile" technologies
- Virtualization technologies and enablers
- Cloud system design with FPGAs, GPUs, APUs
- Storage & file systems
- Scalability, performance, and Cloud elasticity
- Resource provisioning, monitoring, management & maintenance
Track 2: Cloud Services and Applications
- XaaS (everything as a service including IaaS, PaaS, and SaaS)
- Cloud services models & frameworks
- Cloud services reference models & standardization
- Service deployment and orchestration in the Cloud
- Cloud service and workflow management
- Systems interactions and machine learning
- Services for emerging technologies (quantum computing, augmented reality etc.)
Track 3: Security, Privacy, and Trust
- Accountability & auditing
- Authentication & authorization
- Blockchain Cloud services
- Cryptography in the Cloud
- Hypervisor security
- Identity management & security as a service
- Trust & credential management
- Privacy protection in Cloud platforms
Track 4: IoT and Distributed Cloud
- Cloudlet-enabled applications
- Software infrastructure for cloudlets
- Distributed Cloud infrastructure
- Foundations and principles of distributed Cloud computing
- Architectural models, prototype implementations and applications
- Inter-cloud architecture models
- Fog computing
- IoT cloud architectures & models
Track 5: Cloud and Edge Computing with Mobile Communications
- Edge computing architecture
- Fog computing
- Mobile Cloud Computing
- Cloud-Edge collaboration
- 5G and 6G networks
- Edge Intelligence
- Dynamic resource, service and context management in edge computing
Track 6: AI for Cloud Computing
- AI for Cloud Infrastructure Management
- AI-enhanced Cloud Services
- AI for Cloud Security
- AI for Data Management and Storage
- Cloud-native AI Model Deployment
Track 7: Integrating Large Models and Distributed Cloud Computing in Next-Generation Networks
- Large model deployment in distributed clouds
- Distributed cloud computing for large models
- Generative AI for next-generation networks
- Scalability and efficiency of large models in distributed cloud computing
- System architectures for large model reasoning and training
- Dynamic scalability model for cloud services
Track 8: Cloud/Edge Computing for E-Health
- Autonomous computing for E-Health
- Biomedical and biosensor computing for E-Health
- Real-time health monitoring and remote diagnosis
- Data integration and privacy protection for E-Health
- Intelligent medical equipment and robots
- Personalized medical care and health management
Publications
Accepted papers will be published in the IEEE CloudCom 2025 Conference Proceedings and submitted to IEEE Xplore and EI Compendex for indexing.
In addition, selected high-quality papers will be recommended for special issues in the following journals:
- The Journal of Cloud Computing by Springer
- IEEE Internet of Things Journal
- IEEE Transactions on Green Communications and Networking
- IEEE Transactions on Cloud Computing