4th International Workshop on Big Data and Computing (WBDC 2022)

  • 2022

Description

The 4th International Workshop on Big Data and Computing (WBDC 2022) covers topics such as:

  • Applications and Evaluation of Real-Time Big Data Systems
  • Algorithmic, experimental, prototyping and implementation
  • Big Data Algorithms, Applications and Services
  • Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
  • Big Data Analytics in Government, Public Sector and Society in General
  • Big Data Analytics and Machine and Deep Learning
  • Big Data Applications
  • Big Data Analytics in Small Business Enterprises (SMEs)
  • Big Data as a Service
  • Big Data Architectures
  • Big Data for Improving Resilient Infrastructures
  • Big Data Education
  • Big Data Industry Standards
  • Big Data for Social Networking
  • Big Data Mining and Analytics
  • Big Data Management
  • Big Data Open Platforms
  • Big Data Models and Algorithms
  • Big Data Search, Mining, and Visualization
  • Big Data Processing and Querying
  • Big Data Visualization
  • Big Data Security, Privacy and Trust
  • Cloud Computing Solutions and Platforms
  • Cloud and Big Data for Internet of Things (IoT)
  • Compiler Technologies
  • Cloud/Grid/Stream Computing for Big Data
  • Computers and Society, Interdisciplinary Applications
  • Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
  • Data and Information Quality for Big Data
  • Computing, scheduling and resource management for sustainability
  • Data quality issues: such as validation, metrics, optimizations and consistency
  • Data intensive computing theorems and technologies
  • Embedded and Cyber-Physical Systems
  • Data-driven innovation, computational modelling and data integration
  • Energy-efficient Computing for Big Data
  • Enabling Resources for Big Data Research
  • Government and Industrial Experiences for Cloud and Big Data
  • Experiences with Big Data Project Deployments
  • Green data centers / environmental-friendly perspectives green data centers / environmental-friendly perspectives
  • Green Computing and Networking Technologies for Cloud and Big Data
  • Innovative Approaches, Algorithms, and Models of Computing
  • High Performance/Parallel Computing Platforms for Big Data
  • New Computational Models for Big Data
  • Large-Scale System Design
  • New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
  • New Data Standards
  • Privacy and Security for Cloud and Big Data
  • Novel Theoretical Models for Big Data
  • Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
  • Programming Languages, Models, and Runtimes
  • Real-life Case Studies of Value Creation through Big Data Analytics
  • Quality of Big Data Services
  • Software Engineering for Cloud Computing and Big Data
  • Software and tools for big data management
  • Software Techniques and Architectures in Cloud/Grid/Stream Computing
  • Software Systems to Support Big Data Computing
  • Techniques and Algorithms for Real-Time Big Data Analytics
  • Software, hardware and algorithm co-design, high-performance computing
  • Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS

The 4th International Workshop on Big Data and Computing (WBDC 2022) might be held in 2022.

More Details

Prices:
360-730 US Dollar (Estimated)
Organizer:
Hong Kong Society of Robotics & Automation (HKSRA)
Website:

Future Events

  • 4th International Workshop on Big Data and Computing (WBDC 2022) - 2022, (84363)

Past Events

  • 3rd International Workshop on Big Data and Computing (WBDC 2021) - 03-05 Dec 2021, Holiday Inn Express Beijing Temple of Heaven, Beijing, China (87694)
  • 2nd International Workshop on Big Data and Computing (WBDC 2020) - 14-16 Nov 2020, Newcastle University, Newcastle upon Tyne, United Kingdom (87693)

Important

Please, check the official event website for possible changes, before making any traveling arrangements

Event Categories

Science: Computer Science
Technology: Data management, Information Technology (IT)

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