★2024 6th International Conference on Big Data and Computing (WBDC 2024) -- Ei Compendex & Scopus—Call for paper
June 7-9, 2024｜online｜Website: www.iwbdc.org

★Researchers, scientists, engineers and industry professionals will join together this year at WBDC 2024, where the latest research will be unveiled and groundbreaking research projects will be presented. The field of Big Data and Computing is entering an era of unprecedented change and innovation. WBDC 2023 presents one of 2023’s premiere opportunities to hear from and network with an international array of experts on the ever evolving state of the field.

★Publication and Indexing
All accepted and registered full papers will be published conjunctly with other conference proceeding in the form of digital conference proceeding and submitted to major citation databases like EI Compendex, SCOPUS, Google Scholar etc. for reviewing and indexing. Excellent Papers from WBDC 2024 will be recommended to be submitted for publication in journal.

★Keynote Speakers
Prof. Shujun Li, University of Kent, UK
Prof. Massimo Villari, University of Messina, Italy

★Program Preview/ Program at a glance
June 7: Registration + Icebreaker Reception
June 8: Opening Ceremony+ KN Speech+ Technical Sessions
June 9: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
Submit Via CMT: https://cmt3.research.microsoft.com/WBDC2024

★CONTACT US
Ms. Willa P. P. Wong
Email: contact@iwbdc.org
Website: www.iwbdc.org

★Topics of Interest
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