[hpc-announce] CFP : The 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Shanghai, China

[Ashiq Anjum]

Call for Papers

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:   21 August, 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 at 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.

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