Important Dates

Paper Submission Deadline

June 1, 2025


Author Notification

July 1, 2025


Camera-Ready Deadline

August 15, 2025


Registration Deadline

September 10, 2025


Conference Date

October 10–12, 2025

Sponsored and supported by

Introduction

Big data refers to datasets that exceed the processing capabilities of traditional software tools, characterized by diverse sources (Variety), large scale (Volume), and high-speed generation (Velocity). Ensuring its value (Value) and reliability (Veracity) is essential for effective decision-making. Meanwhile, cloud computing has emerged as a key platform for delivering IT resources and infrastructure as services, enabling cost-effective, on-demand access through pay-as-you-go models, reducing the need for significant capital investment.

The 15th IEEE BDCloud 2025 will be held in Shenyang, a vibrant city with a rich cultural heritage located in northeastern China. Shenyang, the capital of Liaoning Province, has a history dating back over 2,000 years and is renowned for its historical significance, including its role as the former capital of the Qing Dynasty.

Topics

  • Track 1: Cloud Computing Theory & Application
  • Track 2: Cloud & Artificial intelligence
  • – Fundamentals of cloud computing
  • – AI-driven cloud services & operations
  • – Provisioning/pricing cloud models
  • – Use of cloud to improve AI deployment
  • – Data storage in cloud computing
  • – Predictive analysis and federated learning
  • – Resource scheduling in cloud computing
  • – Automation for remediation & mitigation
  • – Fault tolerance and reliability in cloud computing
  • – Observability and transparency
  • – Access control to cloud computing
  • – Edge AI systems and applications
  • – Monitoring and auditing in cloud
  • – Cloud infrastructure for LLM
  • Track 3: Data Privacy, Security, and Compliance
  • Track 4: Big Data Mining& Analytics
  • – Encryption algorithms and secure communication
  • – Big data visualization
  • – Homomorphic encryption
  • – Big data mining and analytics on cloud
  • – Data anonymization and de-identification
  • – Scalability of machine learning models
  • – Access control and identity authentication
  • – Distributed and federated datasets
  • – Defense mechanisms in cloud system
  • – Big data scheduling and optimization
  • – Security auditing and risk assessment
  • – Real-time data stream analysis
  • – Privacy-preserving machine learning and AI models
  • – Big data applications

Co-located Four Conferences

•   23rd IEEE International Symposium on Parallel and Distributed Processing with Applications. (ISPA 2025)
•   18th IEEE International Conference on Social Computing and Networking. (SocialCom 2025)
•   15th IEEE International Conference on Sustainable Computing and Communications. (SustainCom 2025)
•   18th IEEE International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage. (SpaCCS 2025)

Activities

Coming soon

Organizers:
             


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