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Today's Topics:
1. IEEE International Workshop on Foundations of Big Data
Computing (BigDF 2016) (Arindam Pal)
----------------------------------------------------------------------
Message: 1
Date: Tue, 19 Jul 2016 17:58:10 +0530
From: Arindam Pal <arindamp@gmail.com>
To: DMANET <DMANET@zpr.uni-koeln.de>
Subject: [DMANET] IEEE International Workshop on Foundations of Big
Data Computing (BigDF 2016)
Message-ID:
<CAK4LEKkQMUak6g6uwg7QOkO=4e5QeWbZhG09wm6n3uacJD0shA@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8
Dear All,
We are organizing the IEEE International Workshop on Foundations of Big
Data Computing (BigDF 2016), in conjunction with HiPC 2016. Please submit
your papers. The abstract submission deadline is July 24.
*******************************************************************************
CALL FOR PAPERS
IEEE International Workshop on Foundations of Big Data Computing (BigDF
2016)
(To be held in conjunction with HiPC 2016)
December 19, 2016, Hyderabad, India
Workshop Webpage: https://sites.google.com/site/hipcbigdf/
*******************************************************************************
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
* Algorithms and Programming Models for Big Data
* Big Data applications - Challenges and Solutions
* 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
workshop 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: http://edas.info/N22849
Please visit the workshop webpage for instructions on paper submission and
other details/updates related to the workshop.
Important Dates:
Abstract due: July 24, 2016
Paper submission deadline: August 1, 2016
Notification of acceptance/rejection: September 15, 2016
Camera-ready paper due: October 3, 2016
Author registration deadline: October 16, 2016
Workshop organization:
General Chairs: Madhu Govindaraju (SUNY Binghamton), Saumyadipta Pyne
(CRRao AIMSCS, Hyderabad)
Program Chairs: Dinkar Sitaram (PESIT), Ananth Kalyanaraman (Washington
State University)
Publicity Chairs: Arindam Pal (TCS Research)
Proceedings Chair: Ren Chen, USC (HiPC proceedings chair)
Industry Liaison: Avinash Sabharwal (Accenture, Bangalore)
Technical Program Committee:
Rekha Singhal, TCS Research
Arindam Pal, TCS Research
Mahantesh Halappanavar, Pacific Northwest National Laboratory
Abhinav Vishnu, Pacific Northwest National Laboratory
Yinglong Xia, Huawei Research
Jaroslaw Zola, SUNY Buffalo
Nabanita Das, Indian Statistical Institute
Hui Huang, Google
Sharma Thankachan, Georgia Institute of Technology/University of Central
Florida
Regards,
Dr. Arindam Pal
Research Scientist
Innovation Labs Kolkata
TCS Research
http://www.cse.iitd.ac.in/~arindamp/
------------------------------
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