Welcome Letter from Conference Chair

We sincerely invite you to participate 2021 5th International Conference on Cloud and Big Data Computing.  It'll be held at University of Liverpool, Liverpool, United Kingdom during August 20-22, 2021.

The goal is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Cloud and Big Data Computing like we always do.

The ICCBDC 2021 topics include but are not limited to the following. Authors are encouraged to submit unpublished original research works in one of the following topics.

Scope and Topics
Algorithmic, experimental, prototyping and implementation
Big Data Algorithms, Applications and Services
Big Data Mining and Analytics
Big Data Processing and Querying
Cloud computing and semantic web technologies
Cloud Computing Techniques for Big Data Analysis
Cloud Solution Design Patterns
Cloud for Enterprise Business Transformation
Cloud Application Architectures
Cloud Application Scalability and Availability
Cloud Applications Performance and Monitoring
Cloud Economics
Cloud Middleware Frameworks
Cloud Quality and Performance
Cloud Optimization and Automation
Cloud Resource Virtualization and Composition
Cloud Management and Operations
Collaborative Threat Detection using Big Data Analysis Analytics
Cloud and Big Data for Internet of Things (IoT)
Computing, scheduling and resource management for sustainability
Government and Industrial Experiences for Cloud and Big Data
Green Computing and Networking Technologies for Cloud and Big Data
Green data centers / environmental-friendly perspectivesGreen data centers / environmental-friendly perspectives
Software Engineering for Cloud Computing and Big Data
Software, hardware and algorithm co-design, high-performance computing
Software and tools for big data management
Cloud Computing Solutions and Platforms
Privacy and Security for Cloud and Big Data
Big Data Visualization
Big Data Education
Data quality issues: such as validation, metrics, optimizations and consistency
Data-driven innovation, computational modelling and data integration
Data intensive computing theorems and technologies
Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS