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WBDC 2024 : 2024 International Conference on Big Data and Computing | |||||||||||||||||
Link: https://www.iwbdc.org/ | |||||||||||||||||
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Call For Papers | |||||||||||||||||
★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 |
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