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BDSEA 2016 : 3rd IEEE/ACM International Conference on Big Data Computing Applications and Technologies


When Dec 6, 2016 - Dec 9, 2016
Where Shanghai, China
Submission Deadline Jul 30, 2016
Notification Due Aug 21, 2016
Final Version Due Sep 21, 2016
Categories    big data analytics   data science   cloud computing   distributed systems

Call For Papers

Call for Papers

The organizing committee is delighted to invite you to IEEE/ACM* BDCAT 2016, the 3rd IEEE/ACM International Conference on Big Data Computing Applications and Technologies, to be held in Shanghai, China on December 6-9, 2016. BDCAT 2016 will be held in conjunction with the 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC) 2016.

This will be the 3rd BDCAT in a successful conference series of community-driven events. Previous events were held in London, UK (BDC 2014) and Limassol, Cyprus (BDC 2015).

Rapid advances in digital sensors, networks, storage, and computation along with their availability at low cost is leading to the creation of huge collections of data — dubbed as Big Data. This data has the potential for enabling new insights that can change the way business, science, and governments deliver services to their consumers and can impact society as a whole. This has led to the emergence of the Big Data Computing paradigm focusing on sensing, collection, storage, management and analysis of data from variety of sources to enable new value and insights.

To realize the full potential of Big Data, we need to address several challenges and develop suitable conceptual and technological solutions for dealing them. These include life-cycle management of data, large-scale storage, flexible processing infrastructure, data modelling, scalable machine learning and data analysis algorithms, techniques for sampling and making trade-off between data processing time and accuracy, and dealing with privacy and ethical issues involved in data sensing, storage, processing, and actions.

The International Conference on Big Data Computing Applications and Technologies (BDCAT) 2016 — held in conjunction with the 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), December 6-9, 2016,Tongji University, Shanghai China, aims at bringing together international researchers, developers, policy makers, and users and to provide an international forum to present leading research activities, technical solutions, and results on a broad range of topics related to Big Data Science, Computing paradigms, platforms and their applications. The conference features keynotes, technical presentations, and workshops.

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 infrastructure
Big Data Applications at Scale
Data streaming applications
Mobile Applications of Big Data
Big Data in Social Networks
Healthcare Applications such 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

Important Dates
Paper submissions due: 03 July, 2016
Notification of acceptance: 21 August, 2016
Camera ready papers due: 21 September, 2016
Early registration deadline: 21 September, 2016

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 (

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 and other leading journals.

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