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ICBDC 2021 : 6th International Conference on Big Data and Computing

Shenzhen, China
Event Date: May 22, 2021 - May 24, 2021
Submission Deadline: Dec 15, 2020
Notification of Acceptance: Jan 06, 2021
Camera Ready Version Due : Jan 30, 2021

About

The aim of ICBDC 2021 is to present the latest research and results of scientists related to Big Data and Computing topics. This conference provides opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up to date scientific field.

Call For Paper

ICBDC solicits original, unpublished and novel papers for research publication and presentation in research track, and industry/application papers in application track. Articles in all areas of Big Data and Computing are of interest, including the following:

  • Algorithmic, experimental, prototyping and implementation

  • Big Data Algorithms, Applications and Services

  • Big Data Mining and Analytics

  • Big Data Processing and Querying

  • 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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