The 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)

 

Date: December 6-9, 2016

Location: Shanghai, China

Website: http://computing.derby.ac.uk/bdcat2016/

 

Important Dates:

  - Paper Submission Due:  30 July, 2016

  - Author Notification:   15 September, 2016

  - Final Manuscript Due:  21 September, 2016

 

The IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) is an annual international conference. The first two events were held in London (BDC 2014) and Cyprus (BDC 2015) respectively. In 2016, the conference has been expanded to explicitly include applications and renamed as BDCAT 2016. The conference aims to provide a platform for researchers to present their new discoveries, developments, results, as well as the latest trends in big data computing, technologies and applications.

 

BDCAT 2016 will be held in conjunction with the 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016) at Tongji University, Shanghai, China.

 

Topics of interest include, but are not limited to:

 

               I. Big Data Science

                              Big Data Analytics

                              Innovative Data Science Models and Approaches

                              Data Science Practice and Experience

                              Algorithms for Big Data

                              Novel Big Data Search Techniques

                              Innovative data and Knowledge Engineering approaches

                              Data Mining and Knowledge Discovery Approaches for Big Data

                              Big Data Acquisition, Integration, Cleaning, and Best Practices

                              Experience reports in Solving Large Scale Data Science Problems

 

               II. Big Data Infrastructures and Platforms

                              Scalable computing models, theories, and algorithms

                              In-Memory Systems and platforms for Big Data Analytics

                              Programming Systems for Big Data

                              Cyber-Infrastructures for Big Data

                              Performance evaluation reports for Big Data Systems

                              Fault tolerance and reliability of Big Data Systems

                              I/O and Data management Approaches for Big Data

                              Energy-efficient Algorithms

                              Storage Systems (including file systems, NoSQL, and RDBMS)

                              Resource management Approaches for Big Data Systems

                              Many-Task Computing

                              Many-core computing and accelerators

 

               III. Big Data Security and Policy

                              Big Data Archival and Preservation

                              Big Data Management Policies

                              Data Privacy

                              Data Security

                              Big Data Provenance

                              Ethical and Anonymization Issues for Big Data

                              Big Data Compliance and Governance Models

 

               IV. Big Data Applications

                              Experience Papers with Big Data Application Deployments

                              Big Data Applications for Internet of things

                              Scientific application cases studies on Cloud infrastructures

                              Big Data Applications at Scale

                              Data streaming applications

                              Mobile Applications of Big Data

                              Big Data in Social Networks

                              Healthcare Applications such as Genome processing and analytics

                              Enterprise Applications

 

               V. Visualization of Big Data

                              Visual Analytics Algorithms and Foundations

                              Graph and Context Models for Visualization

                              Analytical Reasoning and Sense-making on Big Data

                              Visual Representation and Interaction

                              Big Data Transformation, and Presentation

 

Honorary Chairs

Geoffrey Fox, Indiana University, USA

Rajkumar Buyya, University of Melbourne, Australia

Beng Chin OOI, National University of Singapore, Singapore 

Programme Committee Chairs

Ashiq Anjum, University of Derby, UK (Email: a.anjum@derby.ac.uk)

Zhao Xinghui, Washington State University, Vancouver, WA, USA 

Programme Committee Vice Chairs

Ilkay Altintas, University of California, San Diego, USA

Lei Shu, Guangdong University of Petrochemical Technology, China

Guangjie Han, Hohai University, China

Zhangbing Zhou, China University of Geosciences, Beijing, China

Local Organizing Chair

Cheng Wong, Tongji University, China

Programme Committee Members

Ioan Raicu, Illinois Institute of Technology, USA

Lizhe Wang, Chinese Academy of Sciences, China

Ilkay Altintas, University of California, San Diego, USA

Ee-Chien Chang, National University of Singapore, Singapore

Jong Hoon Ahnn, University of California, Los Angeles,  USA

Guangjie Han, Hohai University, China

Daniel S. Katz, University of Chicago & Argonne National Laboratory, USA

Robert Hsu Chung Hua University, Taiwan

Dongfang Zhao, Pacific Northwest National Laboratory, USA

Rui Zhang, University of Melbourne, Australia

Yin Zhang, Zhongnan University of Economics and Law, China

Scott Klasky, Oak Ridge National Laboratory, USA

Ljiljana Trajkovic, Simon Fraser University, Canada

Thomas Bohnert, Zurich University of Applied Sciences, Switzerland

Lei Shu, Guangdong University of Petrochemical Technology, China

Ke Wang, Illinois Institute of Technology (IIT), USA

Robert Hsu, Chung Hua University, Taiwan

Kesheng Wu, Berkeley Lab, USA

Rami Bahsoon, University of Birmingham, UK

Marco Netto, IBM Research

Zhangbing Zhou, University of Science and Technology Beijing, China

Omer Rana, Cardiff University, UK

Yong Chen, Texas Tech University, USA

Xiao Chen, Jiangsu University, China

Justin Wozniak, Argonne National Laboratory, USA

Andre Luckow, BMW

Dan Chen, Wuhan University, China

Rafael Tolosana-Calasanz, University of Zaragoza, Spain

Lee Gillam, University of Surrey, UK

Been-Chian Chen,National University of Tainan,Taiwan

Josef Spillner, Zurich University of Applied Sciences, Switzerland

Samee U. Khan, North Dakota State University, USA

Rajkumar Kettimuthu, Argonne National Lab and The University of Chicago, USA

Manish Parashar, Rutgers University, USA

Paul Townend, University of Leeds, UK

Guanjun Liu, Tongji University, Shanghai, China

Yan Tang, University of Texas at Dallas, USA

Mustafa Rafique, IBM Research, Ireland

Nik Bessis, Edge Hill University, UK

Tonglin Li, Illinois Institute of Technology, USA

Jie Cui, Anhui University, China

Weidong Shi, University of Houston, USA

Jose Brito, Universidade de Brasilia, Brazil

Abhishek Chandra, University of Minnesota, USA

Alan Sill, Texas Tech University, USA

Jemal Abawajy, Deakin University, Australia

Ali R Butt, Virginia Tech,USA

Rajkumar Buyya, The University of Melbourne, Australia

Bo Li, Beihang University, China

Mohsin Farid, University of Derby, UK

Samer Al-Kiswany, The University of British Columbia, Canada

Jie Cui,  Anhui University, Hefei, China

Sajjad A Madani,COMSATS Institute of Information Technology, Pakistan

David Chiu, University of Puget Sound, USA

Manzur Murshed, Federation University, Australia

Silvio Pardi,Unviersity of Naples Federico II, Italy

Yong Zhao, University of Electronic Science and Technology of China, China

Richard Hill, University of Derby, UK

Benjamin Rubinstein, University of Melbourne, Australia

Kune Raghavendra, ADRIN,DOS, India

Sangmi Pallickara, Colorado State University, USA

Said Jai Andaloussi, Casablanca Hassan II University, Morocco

Blesson Varghese, Queen’s University Belfast, UK

Khaled Salah, Khalifa University of Science, Technology, and Research, UAE

Hemant Sharma, Argonne National Laboratory, USA

Ioannis Anagnostopoulos, University of Central Greece, Greece

Khalid Elgazzar, Carnegie Mellon University, USA

George Papadopoulos, University of Cyprus, Cyprus

Joarder Kamal, Monash University, Australia

Jianwu Wang, University of Maryland, USA

Ljiljana Trajkovic, Simon Fraser University, Canada

Xiaolin Andy Li,  University of Florida, USA

Kyle Chard, University of Chicago, USA

Renyu Yang Beihang University, China

Xiangjun Shen,  Jiangsu University, China

Paper Submission

Authors are invited to submit papers electronically. Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures, tables and references using the following templates (latex, pdf, doc). Authors should submit the manuscript in PDF format and make sure that the file will print on a printer that uses letter size (8.5 x 11) paper. The official language of the meeting is English. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Papers conforming to the above guidelines can be submitted through the BDCAT 2016 paper submission system (https://easychair.org/conferences/?conf=bdsea2016).

Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the conference PC Chair for more information.

Selected papers from BDCAT 2016 will be invited to extend and submit to the Special Issue on Big Data Computing in the IEEE Transaction on Cloud Computing, IEEE Transaction on Big Data and other leading journals.