<div dir="ltr"><div style="font-family:arial,sans-serif;font-size:13px;text-align:center"><b>International Workshop on Big Data Computing (BDC) </b></div><div style="font-family:arial,sans-serif;font-size:13px;text-align:center">
<b>Sorrento Peninsula, Italy, <span class="" tabindex="0"><span class="">18-21 December, 2013</span></span></b></div><div style="font-family:arial,sans-serif;font-size:13px;text-align:center"><a href="http://anss.org.au/tc/bdc2013/index.html" target="_blank">http://anss.org.au/tc/bdc2013/index.html</a></div>
<div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">“Big Data”, as a new ubiquitous term, is now invading in every aspect of our daily life and promise to revolutionize our life. We face the most challenging issue, i.e., safe and effective computing on a large amount of data. Many works have been carried out focusing on business, application and information processing level from big data. However, the issue of safe and effective computing has not been well addressed.</div>
<div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">This workshop offers a timely venue for researchers and industry partners to present and discuss their latest results in safe and effective big data computing. Relevant topics include but are not limited to:</div>
<div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Computational Models for Big Data</div><div style="font-family:arial,sans-serif;font-size:13px">
•<span style="white-space:pre-wrap"> </span>Parallel/Distributed Computing for Big Data</div><div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Energy-efficient Computing for Big Data</div>
<div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Software Techniques in Big Data Computing</div><div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Big Social Data Management</div>
<div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Big Data Computing for Mobile Applications</div><div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Architecture, Storage, User Interfaces for Big Data Management</div>
<div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Big Multimedia Data Processing</div><div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Search and Mining in Big Data</div>
<div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Semantic-based Big Data analysis</div><div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Big Data Visualization</div>
<div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Privacy Preserving of Big Data</div><div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>High Performance Cryptography</div>
<div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Threat and Vulnerability Analysis in Big Data</div><div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Secure Big Data Computing</div>
<div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Big Data Analytics</div><div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Experiences with Big Data Project Deployments</div>
<div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Big Data Computing as a Service</div><div style="font-family:arial,sans-serif;font-size:13px">•<span style="white-space:pre-wrap"> </span>Case Study on Big Data Computing</div>
<div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">Co-chair:</div><div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">
Dr Jun Zhang, Deakin University, Australia</div><div style="font-family:arial,sans-serif;font-size:13px">Dr Parimala Thaulasiraman, University of Manitoba, Canada</div><div style="font-family:arial,sans-serif;font-size:13px">
<br></div><div style="font-family:arial,sans-serif;font-size:13px">Important Dates</div><div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">Paper submission: <span class="" tabindex="0"><span class="">01 October 2013</span></span> (extended)</div>
<div style="font-family:arial,sans-serif;font-size:13px">Author Notification: <span class="" tabindex="0"><span class="">10 October 2013</span></span> (extended)</div><div style="font-family:arial,sans-serif;font-size:13px">
Final Manuscript Due: <span class="" tabindex="0"><span class="">01 November 2013</span></span></div></div>