CALL FOR PAPERS
IEEE International Workshop on Foundations of Big Data Computing (BigDF
2017)
In conjunction with HiPC 2017 (http://www.hipc.org)
December 18, 2017
Le Meridien, Jaipur, India
http://hipc.org/foundations-of-big-data-computing-workshop/
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What constitutes a "Big Data" problem? What application domains are best
suited to benefit from Big Data analytics and computing? What are the
traits and characteristics of an application that make it suited to exploit
Big Data analytics? How can Big Data systems and frameworks be designed to
allow the integration and analysis of complex data sets? How can research
in Big Data Analytics benefit from the latest advances in supercomputing
and High Performance Computing (HPC) architectures? The goal of this
workshop is to address questions like these that are fundamental to the
advancement of Big Data computing, and in the process, build a diverse
research community that has a shared vision to advance the state of
knowledge and discovery through Big Data computing.
Topics of interest include research contributions and innovative methods in
the following areas (but not limited to):
* Scalable tools, techniques and technologies for Big Data analytics (e.g.,
graph and stream data analysis, machine learning and emerging deep learning
methods)
* Algorithms and Programming Models for Big Data
* Big Data applications - Challenges and Solutions (e.g., life sciences,
health informatics, geoinformatics, climate, socio-cultural dynamics,
business analytics, cybersecurity)
* Scalable Big Data systems, platforms, services, and management
* Big Data toolkits, workflows, metrics, and provenance.
We invite paper submissions that describe original research contributions
in the area of Big Data computing, and position papers that highlight the
potential challenges and opportunities that arise in Big Data computing. We
also invite short papers that describe work-in-progress original research.
Regular papers can be up to 8 pages long and short papers can be up to 4
pages long. All submissions will undergo rigorous peer-review by the
technical program committee, and accepted manuscripts will appear in the
HiPC workshop ("HIPCW") proceedings and will be indexed by IEEE digital
library. Authors of the accepted manuscripts will be required to present
their work at the workshop proceedings.
Paper Submission link: The paper submission opens July 1, 2017. Click on
the following link for submitting your papers:
https://www.easychair.org/conferences/?conf=hipcbigdf17
Authors can submit an abstract prior to submitting the full paper for
review. The abstract is not mandatory but is recommended to help organizers
plan the review phase in a timely fashion (i.e., authors can submit a full
paper without having submitted an abstract). However, submissions with only
full papers will be reviewed.
Organizing Committee:
* General Chairs: Dinkar Sitaram (PESIT), Ananth Kalyanaraman (Washington
State University)
* Program Chairs: Madhu Govindaraju (SUNY Binghamton), Saumyadipta Pyne
(IIPH, Hyderabad)
* Publicity Chair: Arindam Pal (TCS Research and Innovation)
* Proceedings Chair: Ren Chen, USC (HiPC proceedings chair)
* Industry Liaison: Vivek Yadav (FullStackNet, India)
Technical Program Committee:
Medha Atre, IIT Kanpur
Ariful Azad, Lawrence Berkeley National Laboratory
Biplab Banerjee, IIT Roorkee
Suren Byna, Lawrence Berkeley National Laboratory
Nabanita Das, Indian Statistical Institute
Oded Green, Georgia Institute of Technology
Manish Kurhekar, Visvesvaraya National Institute of Technology
Suresh Marru, Indiana University
Arindam Pal, TCS Research
Laks Raghupathi, Shell, India
Sudip Seal, Oak Ridge National Laboratory
Gokul Swamy, Amazon
Devesh Tiwari, Northeastern University
Abhinav Vishnu, Pacific Northwest National Laboratory
Yinglong Xia, Huawei Research America
Jaroslaw Zola, University of Buffalo
Regards,
Arindam Pal, Ph.D.
Research Scientist
TCS Research
http://www.cse.iitd.ac.in/~arindamp/
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