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

Liverpool, United Kingdom
Event Date: Aug 20, 2021 - Aug 22, 2021
Submission Deadline: Apr 10, 2021
Notification of Acceptance: Apr 30, 2021
Camera Ready Version Due : May 20, 2021

About

Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications.

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.

Call For Paper

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 Authors are encouraged to submit unpublished original research works.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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