2024 6th International Conference on Big Data and Computing (WBDC 2024)

★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. Axel-Cyrille Ngonga Ngomo, Paderborn University, Germany

★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