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BDCAT 2018 征稿通知

來源: 唐彥/

河海大學(xué)

3504

2018-07-30 15:48:21

2018-07-30

第五屆國際大數(shù)據(jù)計算,，應(yīng)用和技術(shù)會議(BDCAT 2018，IEEE/ACM)將于今年12月在瑞士蘇黎世舉辦,，會議EI檢索,。

BDCAT 2016于2016年12月在上海復(fù)旦大學(xué)舉辦,，BDCAT 2017于2017年12月在美國奧斯丁德州超算中心舉辦。

應(yīng)各方請求,，會議截稿日期推遲至八月十五號,。熱忱歡迎大家賜稿！

會議主頁：

http://bdcat-conference.org/

投稿：

Submissions: https://easychair.org/conferences/?conf=bdcat2018

Call for Papers（CFP）:

http://bdcat-conference.org/pages/bdcat2018-cfp.txt

5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2018) December 17-20, 2018 – Zurich, Switzerland – Call for Papers Co-sponsored by IEEE TCSC & ACM SIGARCH / in-cooperation with ACM SIGHPC ** Deadline Extension: August 15, 2018 ** Website: http://bdcat-conference.org Submissions: https://easychair.org/conferences/?conf=bdcat2018 Call for Full Papers ———————————————————— The IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) is an annual conference series aiming to provide a platform for researchers from both academia and industry to present new discoveries in the broad area of big data computing and applications. The first 4 events were held in London, Cyprus, Shanghai, and Austin. BDCAT 2018 will be held in conjunction with the 11th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2018) in Zurich, Switzerland. Authors are invited to submit original unpublished manuscripts on a broad range of topics related to big data science, computing paradigms, platforms and applications. Topics of interest include, but are not limited to: I. Big Data Science - Big Data Analytics - Data Science Models and Approaches - Algorithms for Big Data - Big Data Search and Information Retrieval Techniques - Data Mining and Knowledge Discovery Approaches - Machine Learning Techniques for Big Data - Big Data Acquisition, Integration, Cleaning, and Best Practices - Big Data and Deep Learning II. Big Data Infrastructures and Platforms - Scalable Computing Models, Theories, and Algorithms - In-Memory Systems and Platforms for Big Data Analytics - Big Data and High Performance Computing - Cyber-Infrastructure for Big Data - Performance Evaluation Reports for Big Data Systems - Storage Systems (including file systems, NoSQL, and RDBMS) - Resource Management Approaches for Big Data Systems - Many-Core Computing and Accelerators III. Big Data Applications - Big Data Applications for Internet of Things - Mobile Applications of Big Data - Big Data Applications for Smart City - Healthcare Applications such as Genome Processing and Analytics - Scientific Application Case Studies on Cloud Infrastructure - Big Data in Social Networks - Data Streaming Applications IV. Big Data Trends and Challenges - Fault Tolerance and Reliability - Scalability of Big Data Systems - Energy-Efficient Algorithms - Big Data Privacy and Security - Big Data Archival and Preservation V. Visualization of Big Data - Visual Analytics Algorithms and Foundations - Graph and Context Models for Visualization - Analytics Reasoning and Sense-making on Big Data - Visual Representation and Interaction - Big Data Transformation, and Presentation Important Dates ——————————————— Paper submissions due: August 15, 2018 (extended) Notification of acceptance: September 15, 2018 Camera ready papers due: October 08, 2018 Early + author registration deadline: October 08, 2018 Conference: December 17-20, 2018 Manuscript guidelines ————————————————————— Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The proceedings will be published by the IEEE Computer Society and will be made available online through the IEEE Digital Library, as well as through the ACM Digital Library. Authors should submit the manuscript in PDF format. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, rigour in analysis, quality of results, quality of presentation, and interest and relevance to the conference attendees. Papers conforming to the above guidelines can be submitted through the BDCAT 2018 paper submission system (https://easychair.org/conferences/?conf=bdcat2018). Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Further details on the publication instructions and registration information will be published on the BDCAT website. Awards and Special Issues ————————————————————————— A selection commission chaired by the BDCAT 2018 TPC chairs will select and acknowledge the best paper and best student paper to receive an award during the conference. Authors of highly rated papers from BDCAT 2018 will be invited to submit an extended version to a special issue of a prestigious journal in the area of big data which is currently being defined. BDCAT 2018 Technical Programme Committee ———————————————————————————————————————— Xinghui Zhao Washington State University Vancouver, USA (chair) Richard Sinnott University of Melbourne (chair) (Preliminary list) Ahmed Abdelmoamen Prairie View A&M University, USA Arun Agarwal University of Hyderabad, India Jong Hoon Ahnn University of California at Los Angeles, USA Samer Al-Kiswany University of Waterloo, Canada Ioannis Anagnostopoulos University of Thessaly, Greece Ashiq Anjum University of Derby, UK Ahsan Javed Awan KTH Royal Institute of Technology, Sweden Rami Bahsoon University of Birmingham, USA Thomas Beach Cardiff University, UK Peter Bloodsworth University of Oxford, UK Jose Brito University of Brasilia, Brazil Rajkumar Buyya The University of Melbourne, Australia Jerry H. Chang National Center for High-performance Computing, Taiwan Zhuan Chen Microsoft Been-Chian Chien National University of Tainan, Taiwan David Chiu University of Puget Sound, USA Pedro Contreras The University of Warwick, UK Jie Cui Anhui University, China Passent El-Kafrawy Menoufia University, Egypt Lee Gillam University of Surrey, UK Rob Gillen Oak Ridge National Laboratory, USA Patrick Glauner University of Luxembourg, Luxembourg Madhu Govindaraju SUNY Binghamton, USA Richard Hill University of Huddersfield, UK Ayyaz Hussain International Islamic University, Pakistan Said Jai Andaloussi Casablanca Hassan II University, Morocco Hai Jin Huazhong University of Science and Technology, China Marc Lacoste Orange Labs Fabio López-Pires Itaipu Technological Park Andrew Stephen Mcgough Durham University, UK Kashif Munir University of Hafr Albatin, Saudi Arabia Marco Netto IBM Shrideep Pallickara Colorado State University, USA Sangmi Pallickara Colorado State University, USA Silvio Pardi INFN, Italy Kune Raghavendra ADRIN, DOS, India Dongwan Shin New Mexico Tech University, USA Alex Sim Lawrence Berkeley National Laboratory, USA Richard Sinnott The University of Melbourne, Australia Varun Soundararajan Google Adel Taweel King's College London, UK Rafael Tolosana-Calasanz University of Zaragoza, Spain Marcello Trovati Edge Hill University, UK Blesson Varghese Queen's University Belfast, UK Daniel Waddington Samsung Electronics Jiayin Wang Montclair State University, USA Jianwu Wang University of Maryland, Baltimore County, USA Justin Wozniak Argonne National Laboratory, USA Ramin Yahyapour University of G?ttingen, Germany Renyu Yang Beihang University, China

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