Important Dates

Paper Submission Deadline

July 01, 2024

July 22, 2024


Author Notification

August 01, 2024

August 20, 2024


Camera-Ready Deadline

September 01, 2024

September 15, 2024

October 01, 2024

October 19, 2024

October 22, 2024


Registration Deadline

October 01, 2024


Conference Date

October 30 - November 02, 2024

Sponsored and supported by

Introduction

Big data is an emerging paradigm applied to datasets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Such datasets are often from various sources (Variety) yet unstructured such as social media, sensors, surveillance, video and image archives.internet texts and are of large size (Volume) with fast data in/out (Velocity). More importantly, big data has to be of high value (Value) and establish trust in it for business decision making (Veracity). Cloud computing is positioning itself as an emerging platform for delivering information infrastructures and resources as IT services. Customers can provision and deploy Cloud services via pay-as-you-go pricing models saving huge capital investments in their own IT infrastructures.

The 14th IEEE BDCloud 2024 will be hosted in Kaifeng, a charming historical city located along the southern bank of the Yellow River. Kaifeng city is the capital of eight ancient Chinese Dynasties and one of the main cradles of Chinese nation with a history of more than 2700 years.

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

•  22nd IEEE International Symposium on Parallel and Distributed Processing with Applications. (ISPA 2024)
•  17th IEEE International Conference on Social Computing and Networking. (Socialcom 2024)
•  14th IEEE International Conference on Sustainable Computing and Communications. (SustainCom 2024)
•  17th IEEE International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage. (SpaCCS 2024)

Activities

For any question, please do not hesitate to contact us:

(1) WeChat:

(2) ieee-ai4science-2024@googlegroups.com.

Organizers:
             


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