ICCBDC 2021 : 5th International Conference on Cloud and Big Data Computing

in Conferences   Posted on April 14, 2021 

Conference Information

Submission Deadline Thursday 20 May 2021 Proceedings indexed by :
Conference Dates Aug 20, 2021 - Aug 22, 2021
Conference Address Liverpool, United Kingdom
Conference & Submission Link http://www.iccbdc.org/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

The ICCBDC 2021 topics include but are not limited to the following. Authors are encouraged to submit unpublished original research works. Topics of interest for submission include, but are not limited to:

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

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