For Regular Papers

Track 1: Theories and Algorithms
Big Data Fundamentals and Novel Paradigms
Big Data Algorithms, Applications & Services
Big Data Mining and Analytics
Big data Processing and Querying
Big Data Computing & Recommendations
Learning techniques for Cloud and Big Data
Cloud-Native Theories and Algorithms

Track 2: Systems and 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
Complex Big Data Processing
Virtualization Technologies
Public, Private, and Hybrid Clouds
Green & Energy Management
Cloudlet and Serverless Computing
Resource Management, Storage & QoS

Track 3: Security, Privacy & Trust
Security, Privacy & Reliability in Cloud & Big Data
Dependable/Trustworthy Big Data Processing
Security/Privacy/Trust as a Service
Hardware Security of Cloud & Big Data
Blockchain for Cloud and Big Data
Federated Learning

Track 4: Tools and Applications
Data Warehousing over Big Data
Innovative Applications and Experiences
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