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  • 中文
  • Home
  • General INFO.
    • Committees
    • Peer Review General
    • Guideline for Peer Reviewers
    • Ethical Standards
  • Speakers
    • Speaker Guidelines
    • WBDC 2023 Speakers
  • Registration
  • Call for Papers
  • Submission
  • Support
    • Contact
    • Review Responsibilities
    • Instructions for Authors
  • 中文

Call for Paper

Please download the CFP flyer here (Click). 


WBDC solicits original, unpublished and novel papers for research publication and presentation in the research track, and industry/application papers in application track.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

Applications and Evaluation of Real-Time Big Data Systems

Autonomic Computing and Cyber-infrastructure

Big Data Algorithms, Applications and Services

Big Data Analytics and Machine and Deep Learning

Big Data Analytics in Government, Public Sector and Society in General

Big Data Analytics in Small Business Enterprises (SMEs)

Big Data Applications

Big Data Architectures

Big Data as a Service

Big Data Education

Big Data for Improving Resilient Infrastructures

Big Data for Social Networking

Big Data Industry Standards

Big Data Management

Big Data Mining and Analytics

Big Data Models and Algorithms

Big Data Open Platforms

Big Data Processing and Querying

Big Data Search, Mining, and Visualization

Big Data Security, Privacy and Trust

Big Data Visualization

Cloud and Big Data for Internet of Things (IoT)

Cloud Computing Solutions and Platforms

Cloud/Grid/Stream Computing for Big Data

Compiler Technologies

Complex Big Data Applications in Science, Engineering, Medicine, Healthcare

Complex Big Data Applications in Finance, Business, Law, Education

Complex Big Data Applications in Transportation, Retailing, Telecommunication

Computers and Society, Interdisciplinary Applications

Computing, scheduling and resource management for sustainability

Data and Information Quality for Big Data

Data intensive computing theorems and technologies

Data quality issues: such as validation, metrics, optimizations and consistency

Data-driven innovation, computational modelling and data integration

Embedded and Cyber-Physical Systems

Enabling Resources for Big Data Research

Energy-efficient Computing for Big Data

Environmental-friendly perspectives green data centers

Experiences with Big Data Project Deployments

Government and Industrial Experiences for Cloud and Big Data

Green Computing and Networking Technologies for Cloud and Big Data

Green data centers

High Performance and Parallel Computing Platforms for Big Data

Innovative Approaches, Algorithms, and Models of Computing,

Large-Scale System Design

New Computational Models for Big Data

New Data Standards

New Programming Models for Big Data beyond Hadoop, MapReduce and STORM

Novel Theoretical Models for Big Data

Privacy and Security for Cloud and Big Data

Programming Languages, Models and Runtimes

Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data

Quality of Big Data Services

Real-life Case Studies of Value Creation through Big Data Analytics

Software and tools for big data management

Software Engineering for Cloud Computing and Big Data

Software Systems to Support Big Data Computing

Software Techniques and Architectures in Cloud/Grid/Stream Computing

Software, hardware and algorithm co-design, high-performance computing

System Architectures, Design and Deployment

Techniques and Algorithms for Real-Time Big Data Analytics

Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS



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