The 16th IEEE International Conference on Big Data and Cloud Computing (IEEE BDCloud 2026)

Kuala Lumpur, Malaysia

27-30 December 2026

Join us at the 2026 IEEE International Conference on Big Data and Cloud Computing

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 16th IEEE BDCloud 2026 will be held in Kuala Lumpur, a vibrant and cosmopolitan metropolis located in the heart of Malaysia. Kuala Lumpur, the national capital, is renowned for its dynamic blend of modern urban development and rich cultural diversity, featuring iconic landmarks such as the Petronas Twin Towers and a harmonious fusion of Malay, Chinese, and Indian influences.

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

Sponsored and Organized by

IEEE
IEEE Computer Society
IEEE TCSC
IEEE HITC
IEEE CPSS
SMC
Zhengzhou University