The IEEE International Conference on Cloud and Big Data Computing is a premier forum for researchers, practitioners and developers who are interested in cloud computing and big data to explore new ideas, techniques and tools, as well as to exchange experience. Besides the latest research achievements, the conference covers also innovative commercial data management systems, innovative commercial applications of cloud computing and big data technology, and experience in applying recent research advances to real-world problems

IEEE CBDCom 2023 will be the 9th edition of the conference after the success of CBDCom 2015 in Beijing, CBDCom 2016 in Toulouse, CBDCom 2017 in San Francisco, CBDCom 2018 in Guangzhou, CDBCom 2019 in Fukuoka, CDBCom 2020 in Calgary, and CDBCom 2021 held virtually. It will continuously offer a platform for researchers to exchange novel studies, discuss important issues and explore key challenges in innovative cloud and big data for smarter world. IEEE CBDCom 2023 will be held in November 13-17, 2023, co-located with IEEE CyberSciTech 2023, IEEE PICom 2023, and IEEE DASC 2023. It aims to bring together computer scientists, engineers and researchers from academia and industry to discuss and exchange experimental and theoretical results, work-in-progress, novel designs, and future trends in cloud and big data innovations.

Track 1: Data Science & Analytics

Big Data Fundamentals and Novel Paradigms
Big Data Algorithms, Applications & Services
Big Data Mining and Analytics
Big data Processing and Querying
Big Data Visualization
Big Data Computing & Recommendations

Track 2: Big Data Infrastructure & Management

Big Data Cloud, Grid, Stream Computing
High Performance Platforms for Big Data
NoSQL Data Stores and DB scalability
Energy-Efficient Computing for Big Data
Recommendation & Social Media Systems
Big Data Availability and Reliability

Track 3: Big Data Tools and Applications

Complex Big Data Processing
BD in Networks and Communications
Big Data as a Service
Data Warehousing over Big Data
BD Machine and Deep Learning
Innovative Applications and Experiences

Track 4: Cloud Management & Virtualization

Virtualization Technologies
Cloud Computing Platforms
Public, Private, and Hybrid Clouds
Green & Energy Management
Cloudlet and Serverless Computing
Resource Management, Storage & QoS

Track 5: Cloud/Big Data Security, Privacy & Trust

Security, Privacy & Reliability in Cloud & BD
Dependable/Trustworthy Big Data Processing
Security/Privacy/Trust as a Service
Blockchain in Cloud and Big Data Application

Track 6: Cloud/Big Data for IoT & Smart City

Smart Data & Smart Environments
CBD for IoT & Cyber-Physical Systems
RFID & Related Technologies for IoT
M2M Communications and IoT
IoT and Smart City Infrastructures
Green Computing for Big Data & Smart City