====================CALL FOR PAPERS ================================================================
IEEE International Workshop on Foundations of Big Data Computing

In conjunction with HiPC 2015 – 22nd IEEE International Conference on High Performance Computing

16 December 2015 - Afternoon
Park Plaza Hotel in Bengaluru, India

Workshop Website: http://www.hipc.org/hipc2015/documents/HiPC2015-BigDataFoundations.pdf
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Scope and Topics:



Big Data computing is playing a significant role in enabling a new class of scientific and business
applications. Numerous fields are experiencing an unprecedented increase in the volume and
complexity of data necessitating new research explorations on adapting or transforming traditional
computational tools and methodologies.

There are several open challenges in Big Data computing
that needs to be addressed by the community. 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 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.



All paper submissions will have to be made on EasyChair through the following submission link:


https://easychair.org/conferences/?conf=foundationsofbigdata



Important Dates:


Abstract submissions (recommended): July 24, 2015

Paper submission deadline: August 14, 2015

Notification of acceptance/rejection: September 15, 2015

Camera-ready paper due: September 30, 2015

Author registration deadline: October 16, 2015



Workshop Organization:


General Chairs: Dinkar Sitaram (PESIT), Ananth Kalyanaraman (Washington State University)


Program Chairs: Madhu Govindaraju (SUNY Binghamton), Saumyadipta Pyne (CRRao AIMSCS, Hyderabad)

Publicity Chairs: Arindam Pal (TCS Innovation Labs)


Proceedings Chair: Ren Chen, USC (HiPC proceedings chair)


Industry Liaison: Avinash Sabharwal (Accenture, Bangalore)



Technical Program Committee:



Gagan Agrawal The Ohio State University
Gopal Bhaskaran Tata Consultancy Services
Elif Dede Twitter Inc.
Ramesh Hariharan Strand Life Sciences/Indian Institute of Science
Chittaranjan Hota Birla Institute of Technology and Science, BITS-Pilani Hyderabad Campus
Luke Huan University of Kansas
Rajendra Joshi Center for Development of Advanced Computing (C-DAC)
Indranil Mukhopadhyay Indian Statistical Institute
Arindam Pal Tata Consultancy Services - Innovation Labs
BB Prahlada Rao C-DAC Bangalore
Devesh Tiwari Oak Ridge National Laboratory
Abhinav Vishnu Pacific Northwest National Laboratory
Yinglong Xia IBM Research
Jaroslaw Zola University at Buffalo, SUNY