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WBDC solicits original, unpublished and novel papers for research publication and presentation in the research track, and industry/application papers in application track.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