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WBDC 2020 : 2020 2nd International Workshop on Big Data and Computing(WBDC 2020) 


When Nov 14, 2020 - Nov 16, 2020
Where Newcastle upon Tyne, UK
Submission Deadline Nov 5, 2020
Notification Due Nov 5, 2020
Final Version Due Nov 5, 2020

Call For Papers

★2020 2nd International Workshop on Big Data and Computing(WBDC 2020) - Ei Compendex & Scopus—Call for paper 
November 14-16, 2020|Newcastle upon Tyne, UK|Website:

★Venue:Newcastle University, Newcastle upon Tyne, UK
Newcastle University (formally the University of Newcastle upon Tyne) is a public research university in Newcastle upon Tyne in the North East of England. The university can trace its origins to a School of Medicine and Surgery (later the College of Medicine), established in 1834, and to the College of Physical Science (later renamed Armstrong College), founded in 1871. These two colleges came to form one division of the federal University of Durham, with the Durham Colleges forming the other. The Newcastle colleges merged to form King's College in 1937. In 1963, following an Act of Parliament, King's College became the University of Newcastle upon Tyne.

★Researchers, scientists, engineers and industry professionals will join together this year at WBDC 2020, 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 2020 presents one of 2020’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 papers will be published in the digital conference proceedings which will send to be indexed by all major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.
Selected papers will be recommended to be published in Journals.

★Keynote Speakers
Prof. Massimo Marchiori, University of Padua, Italy
Prof. Xiaohua Hu, Drexel University, USA
Prof. Victor Chang, Teesside University, UK
Dr. Peter Holowka, University of Calgary, Canada

★Program Preview/ Program at a glance
November 14, 2020: Registration + Icebreaker Reception
November 15, 2020: Opening Ceremony+ KN Speech+ Technical Sessions 
November 16, 2020: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
1. PDF version submit via CMT:
2.Submit Via email directly to:

Ms. Betty Y. Chan

Call for papers (
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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