Important Dates

July 15, 2023

Workshop Proposal Due

September 01, 2023

Paper Submission Deadline

October 15, 2023

Author Notification

October 31, 2023

Camera-ready and Registration

Coming soon

Registration Deadline

December 17-21, 2023

Conference Date



The 2023 IEEE International Conference on Advanced Cloud and Big Data (CBD-2023) is held in Ocean Flower Island, Hainan, China, December 17-21, 2023. The International Conference on Advanced Cloud and Big Data (CBD) provides a forum for both academics and practitioners working on cloud computing and big data technologies to explore new ideas, share their experiences and leverage each other's perspectives. Besides the latest research achievements, this conference also covers cloud/big data industry practices and their broad applications, and gives all participants a chance to identify the new/emerging “hot” trends in these areas.

The 2023 IEEE International Conference on Advanced Cloud and Big Data (CBD-2023) will be an exciting international forum for scientists, engineers, and researchers to exchange their novel research regarding advancements in the state-of-art of advanced cloud and big data, as well as to identify the emerging research topics and open issues for further researches.


Topics of interest include, but are not limited to:

Research Track:

• Cloud Security and Privacy
• Cloud Data Center Networking
• Cloud Virtualization
• Cloud Storage
• Multi/Hybrid/Inter Cloud
• Big Data Processing/Mining/Query
• Big Data Security and Privacy
• Edge Computing and its applications
• Deep Learning/Federated Learning
• Cloud and Big data Management
• Blockchain and its applications
• Social Network
• Edge Computing Architecture and Algorithm
• Machine Learning and AI at Edge

Industry Track:

• Cloud Computing Solutions
• Cloud Computing Specifications/Standards
• Cloud and Big Data in Industry
• Big Data in Smart city/Home
• Edge Computing Solutions
• Blockchain Solutions

Application Track:

• Cloud based Industrial Internet
• Edge based Industrial Internet
• Mobile Edge Computing
• Machine/Deep Learning applications
• Social Networking
• Knowledge Graph
• Blockchain applications

Back to main congress: Cybermatics 2023


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