ICBDSC 2021 : 4th International Conference on Big Data and Smart Computing

Submissions may be targeted within, but not limited to, the following major topics and sub-topics:

Big Data Infrastructure

• Cloud/Grid/Stream Computing for Big Data
• High Performance/Parallel Computing Platforms for Big Data
• Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
• Energy-efficient Computing for Big Data
• Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
• Software Techniques and Architectures in Cloud/Grid/Stream Computing
• Big Data Open Platforms
• New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
• Software Systems to Support Big Data Computing

Big Data Management

• Advanced database and Web Applications
• Novel Data Model and Databases for Emerging Hardware
• Data Preservation
• Data Provenance
• Interfaces to Database Systems and Analytics Software Systems
• Data Protection, Integrity and Privacy Standards and Policies
• Information Integration and Heterogeneous and Multi-structured Data Integration
• Data management for Mobile and Pervasive Computing
• Data Management in the Social Web
• Crowdsourcing
• Spatiotemporal and Stream Data Management
• Scientific Data Management
• Workflow Optimization
• Database Management Challenges: Architecture, Storage, User Interfaces

Big Data Search and Mining

• Social Web Search and Mining
• Web Search
• Algorithms and Systems for Big Data Search
• Distributed, and Peer-to-peer Search
• Big Data Search Architectures, Scalability and Efficiency
• Data Acquisition, Integration, Cleaning, and Best Practices
• Visualization Analytics for Big Data
• Computational Modeling and Data Integration
• Large-scale Recommendation Systems and Social Media Systems
• Cloud/Grid/Stream Data Mining- Big Velocity Data
• Link and Graph Mining
• Semantic-based Data Mining and Data Pre-processing
• Mobility and Big Data
• Multimedia and Multi-structured Data- Big Variety Data

Big Data Security & Privacy

• Intrusion Detection for Gigabit Networks
• Anomaly and APT Detection in Very Large Scale Systems
• High Performance Cryptography
• Visualizing Large Scale Security Data
• Threat Detection using Big Data Analytics
• Privacy Threats of Big Data
• Privacy Preserving Big Data Collection/Analytics
• HCI Challenges for Big Data Security & Privacy
• User Studies for any of the above
• Sociological Aspects of Big Data Privacy