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<b>First Workshop on Data-Centric Infrastructure for Big Data
Science (DIBS)</b><br>
<b><br>
</b><b><a class="moz-txt-link-freetext" href="http://renci.org/dibs2015/">http://renci.org/dibs2015/</a></b><b><br>
</b><b>October 29th, 2015, Santa Clara, California</b><b><br>
</b><b>co-located with IEEE BigData 2015</b><br>
<br>
Today’s infrastructure to support Big Data science applications
follows traditional control-centric approach wherein behaviour, and
not data and data operations, is the primary organizing construct of
its design. This limits the potential data-handling capabilities of
such infrastructures. For example, it hinders explicit handling of
data at various system layers (e.g., network and file system) to
satisfy multi-domain requirements, such as security, performance and
resource-aware data management for reducing operational costs.<br>
Central to these challenges is the fact that software tools and
infrastructure to support collaboration have evolved in a piecemeal
fashion. Data management technologies such as data-grids enable
sophisticated operations to integrate data from multiple
administrative domains into one single abstraction. Cloud models
such as Infrastructure as a Service (IaaS) facilitate the rapid
deployment of networked virtual infrastructure (i.e., Clouds) and
fast data transfers. On one hand, these technologies do not address
the Big Data challenge by working independently. On the other hand,
they present complex opaque APIs and use different resource
abstractions that hinder their integration, thus preventing data
from playing a central role in making decisions in an automated
fashion.<br>
<br>
This workshop brings together system researchers, practitioners and
domain scientists with expertise and interest in Big Data Science to
explore novel data-driven approaches in developing and deploying
software designs and infrastructure. We will focus on capturing
research that seeks to take a holistic and integrated approach to
data, infrastructure and resource management; domain science
applications that can benefit from these novel data-centric software
infrastructures; and experiences that help us navigate the problem
space. <br>
<ul>
<li>Topics of interest for the workshop include (but are not
limited to) the following subject categories:</li>
<li>Novel designs approaches and software infrastructures to
support Big Data Science</li>
<li>Networking support for Big Data Science (beyond speeding up
data transfers)</li>
<li>Security including preservation of data privacy in distributed
computation settings</li>
<li>Big Data Science use cases with stringent performance
requirements</li>
<li>Storage infrastructure for Big Data Science</li>
<li>Resource-aware data management</li>
<li>Big Data infrastructure designs to support Big Data Science</li>
</ul>
<br>
<b>Venue and Date </b><br>
<br>
The workshop will be co-located with IEEE BigData 2015, the 2015
IEEE International Conference on BigData
(<a class="moz-txt-link-freetext" href="http://cci.drexel.edu/bigdata/bigdata2015/">http://cci.drexel.edu/bigdata/bigdata2015/</a>) in Santa Clara,
California on October 29th, 2015. It will be a half-day or full-day
event depending on the number of submissions.<br>
<br>
<b>Registration</b><br>
<br>
Registration information for the workshop can be found through IEEE
BigData website.<br>
<br>
<b>Organization</b><br>
<br>
Workshop Co-Chairs<br>
<br>
Claris Castillo (RENCI) <br>
Ivan Rodero (Rutgers)<br>
<br>
Steering Committee<br>
<br>
Ilya Baldin (RENCI)<br>
Ewa Deelman (ISI)<br>
Geoffrey Fox (Indiana University)<br>
Inder Monga (ESnet)<br>
Manish Parashar (Rutgers)<br>
Arcot Rajasekar (UNC, Chapel Hill)<br>
Robert Ricci (University of Utah)<br>
Almadena Chtchelkanova (NSF)<br>
<br>
Program Committee<br>
<br>
Yanpei Chen (Cloudera)<br>
Toni Cortes (Barcelona Supercomputing Center)<br>
Liana Fong (IBM Research)<br>
Cees de Laat (University of Amsterdam)<br>
Amit Majumdar (San Diego Supercomputer Center)<br>
Joe Membretti (Northwestern University Information Technology)<br>
Jay Park (Louisiana State University)<br>
Lavanya Ramakrishnan (Lawrence Berkeley Laboratory)<br>
Omer Rana (Cardiff University)<br>
Charles Schmidtt (RENCI)<br>
Mai Zheng (Ohio State University)<br>
Linh Ngo (Clemson)<br>
<b><br>
</b><b>Important Dates</b><br>
<br>
September 6, 2015 – Submissions due<br>
September 20, 2015 – Reviews due<br>
September 24, 2015 – Notifications out<br>
October 5, 2015 – Camera ready paper due <br>
<br>
<b>Paper submissions</b><br>
<br>
Authors are invited to submit papers electronically in PDF format.
Submitted manuscripts should be structured as technical papers and
may not exceed 8 letter-size (8.5 x 11) pages including figures,
tables and references using the IEEE Computer Society format for
conference proceedings. <br>
<br>
LaTex package and word template are available from
(<a class="moz-txt-link-freetext" href="http://www.ieee.org/conferences_events/conferences/publishing/templates.html">http://www.ieee.org/conferences_events/conferences/publishing/templates.html</a>).<br>
<br>
All papers will be included in the Workshop Proceedings published by
the IEEE Computer Society Press.<br>
<br>
Submission website:
<a class="moz-txt-link-freetext" href="https://easychair.org/conferences/conference_info.cgi?a=9239248">https://easychair.org/conferences/conference_info.cgi?a=9239248</a><br>
<br>
<b>Call for papers in PDF</b><br>
<br>
(<a class="moz-txt-link-freetext" href="http://renci.org/wp-content/uploads/2015/06/DIBS2015-call-for-submissions.pdf">http://renci.org/wp-content/uploads/2015/06/DIBS2015-call-for-submissions.pdf</a>)
to download the CFP. (*.pdf) (to be updated)<br>
<pre class="moz-signature" cols="72">--
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Ivan Rodero, Ph.D.
Rutgers Discovery Informatics Institute (RDI2)
NSF Center for Cloud and Autonomic Computing (CAC)
Rutgers, The State University of New Jersey
Office: CoRE Bldg, Rm 624
96 Frelinghuysen Road, Piscataway, NJ 08854-8019
Phone: (732) 993-8837
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