[ecoop-info] [CFP] BDCAT2017: 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies

[Zhao, Xinghui]

The 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017)

Date: December 5 – December 8, 2017
Location: Austin, Texas, USA
Website: http://bdcat-conference.org<https://urldefense.proofpoint.com/v2/url?u=http-3A__bdcat-2Dconference.org_&d=DwMGaQ&c=C3yme8gMkxg_ihJNXS06ZyWk4EJm8LdrrvxQb-Je7sw&r=pDGKGCijNZVaGWmOGWcQrQ&m=QOEzh_oUuuw0NOQ6aTBbtMJLhxniQxUQQiKYTHq4mcY&s=tfHkRlagWkw5ZUBYqRoCh4_x64Uj9TlT2Qd9pOLHAZ4&e=>
Submission site: https://easychair.org/conferences/?conf=bdcat2017<https://urldefense.proofpoint.com/v2/url?u=https-3A__easychair.org_conferences_-3Fconf-3Dbdcat2017&d=DwMGaQ&c=C3yme8gMkxg_ihJNXS06ZyWk4EJm8LdrrvxQb-Je7sw&r=pDGKGCijNZVaGWmOGWcQrQ&m=QOEzh_oUuuw0NOQ6aTBbtMJLhxniQxUQQiKYTHq4mcY&s=wX1yBvodH4MwSQbO1Qn-b0i3X8KZVjxINTGWcp2WN5g&e=>

Important Dates:
Paper submission due: July 15, 2017
Notification of acceptance: August 27, 2017
Camera ready papers due: September 30, 2017
Early registration deadline: September 30, 2017
Conference: December 5 – December 8, 2017
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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 3 events were held in London, Cyprus, and Shanghai. BDCAT 2017 will be held in conjunction with the 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017) in Austin, Texas, USA.

Authors are invited to submit original unpublished manuscripts on a broad range of topics related to big data science, computing paradigms, platforms and applications.

Authors of highly rated papers from BDCAT 2017 will be invited to submit an extended version to a special issue of the Journal of Software: Practice and Experience (SPE): On Integration of Cloud, IoT and Big Data Analytics, published by Wiley Press.

Topics of interest include, but are not limited to:

1.  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 in Physics, Information, HPC, HEP, Astrophysics and related areas

2.   Big Data Infrastructures and Platforms
-  Scalable Computing Models, Theories, and Algorithms
-  In-Memory Systems and Platforms for Big Data Analytics
-  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

3.   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

4.   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

5.   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


Organizing Committee:

Honorary Chairs
Rajkumar Buyya, University of Melbourne, Australia
Geoffrey Fox, Indiana University, USA
Beng Chin OOI, National University of Singapore, Singapore

General Chairs
Ashiq Anjum, University of Derby, UK
Alan Sill, Texas Tech University, USA

Program Committee Chairs
Xinghui Zhao, Washington State University Vancouver, USA
Mohsen Farid, University of Derby, UK
Shrideep Pallickara, Colorado State University, USA
Jiannong Cao, The HongKong Polytechnic University, Hong Kong

Local Organizing Chairs
Tim Cockerill, Texas Advanced Computing Center, USA
Jerry Perez, Texas Tech University, USA
Ravi Vadapalli, Texas Tech University, USA
Zhangxi Lin, Texas Tech University, USA

Publicity Chairs
David Chiu, University of Puget Sound, USA
Ningfang Mi, Northeastern University, USA
Gleb Radchenko, South Ural State University, Russia
Andrei Tchernykh, CICESE Research Center, Mexico
Yan Tang, Hohai University, China
Iman Elghandour, Alexandria University, Egypt





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Xinghui Zhao
Assistant Professor
School of Engineering and Computer Science
Washington State University
14204 NE Salmon Creek Ave.
Vancouver, WA 98686

Tel: (360) 546-9110
Fax: (360) 546-9438
Web: http://dsr.encs.vancouver.wsu.edu