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

[Sill, Alan]

Please take note of the following call for papers for a conference associates with UCC 2016.


Dear Alan,

I will be grateful if you can please help us disseminate the event by sharing this call for papers within your networks and mailing lists. Please also encourage your group members and colleagues to consider submitting papers to BDCAT being held in Shanghai, China in December 2016.


Best regards
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 --> extended to 31 August, 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<mailto: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
<too long>

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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