IEEE/ACM BDCAT 2017 – Call for Papers

IEEE/ACM BDCAT 2017 – Call for Papers
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Authors are invited to submit original unpublished manuscripts on a broad range of topics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), published by Wiley
Topics of interest include, but are not limited to:
I. 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
II. 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
III. 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
IV. 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
V. 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
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
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 Chair
• 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
Technical Program Committee
• Jong Hoon Ahnn, University of California, Los Angeles, USA
• Adel Taweel, Birzeit University/King's College, London, UK
• Varun Soundararajan, Google, USA
• Daniel S. Katz, University of Chicago & Argonne National Laboratory, USA
• Robert Hsu Chung Hua University, Taiwan
• Dongfang Zhao, Pacific Northwest National Laboratory, USA
• Yin Zhang, Zhongnan University of Economics and Law, China
• Ljiljana Trajkovic, Simon Fraser University, Canada
• Robert Hsu, Chung Hua University, Taiwan
• Bo Sheng, University of Massachusetts Boston
• Jiayin Wang, University of Massachusetts Boston
• Rami Bahsoon, University of Birmingham, UK
• Marco Netto, IBM Research
• 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
• Rajkumar Kettimuthu, Argonne National Lab and The University of Chicago, 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
• Samer Al-Kiswany, The University of British Columbia, Canada
• Jie Cui, Anhui University, Hefei, China
• Manzur Murshed, Federation University, Australia
• Silvio Pardi,Unviersity of Naples Federico II, Italy
• Richard Hill, University of Derby, UK
• Kune Raghavendra, ADRIN,DOS, India
• Sangmi Pallickara, Colorado State University, USA
• Patrick Glauner, University of Luxembourg, Luxembourg
• Said Jai Andaloussi, Casablanca Hassan II University, Morocco
• Blesson Varghese, Queen’s University Belfast, UK
• Jianwu Wang, University of Maryland, USA
• Ljiljana Trajkovic, Simon Fraser University, Canada

Conference website:
Submission: link
Submission deadline: July 15, 2017