Sixth International Conference on Cloud, Big Data and Analytics (ICCBDA 2023)

Topics

• Infrastructure, Platform, Application, Business, Social, and Mobile Cloud
• Cloud Migration
• Self-Service Cloud Portal, Dashboard, and Analytics
• Storage, Data, and Analytics Clouds
• Scientific Computing and Data Management
• Analytics Application
• Storage, Data, and Analytics Clouds
• Big Data Management and Analytics
• Cloud Configuration, Performance, and Capacity Management
• Security, Privacy, and Compliance Management in Clouds
• Green cloud computing
• High-performance cloud computing
• IoT and Cloud
• Mobile-driven cloud computing
• Green, Energy - Efficient models and sustainability issues for Big Data
• Innovative Cloud infrastructure for Big Data
• Data Models for Big Data Analytics
• Resource scheduling, SLA, Fault tolerance, and reliability for Big Data
• Data Privacy
• Cloud Security
• Security as a service
• Cloud Privacy
• Index Structures for Big Data Analytics
• Machine Learning techniques for Big Data
• Large-scale recommendation systems and graph analysis
• Interaction Design for Exploratory Analytics
• Big Data & Cloud for Enterprise, Government, and Society
• Big Data Security, Privacy, and Services
• Big data & cloud for improving resilient infrastructures
• Case studies of big data value creation
• Big data & cloud-based energy and environment control, evaluation, and management
• Big data & cloud research and project experience in bio-medical and healthcare application services
• Autonomic business process and workflow management in clouds
• Big data & cloud research applications and service systems in hospitality, tourism, transportation, and urban planning
• Multimedia applications in mobile cloud environments
• Big Data & cloud technologies for business applications in vertical markets - like Telecom, Mobile computing, Sensor networks, Social networking, and Smart cities.
• Big Data applications on heterogeneous architectures such as healthcare, surveillance and sensing, e-commerce and etc
• Big data & cloud in food and agriculture