<div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div class="gmail_quote"><div dir="ltr">Call for Poster and Demo:<br><div class="gmail_quote"><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div class="gmail_quote">
<div dir="ltr"><div class="gmail_quote">
<div dir="ltr"><div class="gmail_quote">
<div dir="ltr"><div>
<br></div><div>The 4th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2014), <span><span>3-5 December 2014</span></span>, Sydney, Australia.<div><br> Website: <a href="http://www.swinflow.org/confs/bdcloud2014/demo.htm" target="_blank">http://www.swinflow.org/confs/bdcloud2014/demo.htm</a><a href="http://www.swinflow.org/confs/bdds2013/demo.htm" target="_blank"><br>
</a><br></div><br>Important Dates:<br>Deadline for proceedings published posters/<span>demos</span> with display at conference: 5 October <span>2014</span><br><br></div><div>Notification of Acceptance: 7 October <span>2014</span><br>
<br></div><div>
Final versions of proceeding published posters/<span>demos</span>: 15 October <span>2014</span><br><br></div><div> Deadline for web published posters/<span>demos</span> with display at conference: 30 October <span>2014</span><br>
</div><div><span><br></span></div><p>Submissions:<br>Please email your posters/<span>demos</span> to <font color="#ff0000"><a href="mailto:confs.aus@gmail.com" target="_blank">confs.aus@gmail.com</a></font> with the email subject as "BDCloud <span>2014</span> demo poster submission".</p>
<div> </div><div>Two types of posters and <span>demos</span> are welcome. Both of them will be displayed during the conference.<br></div><div><br></div><div>1. Proceedings published posters and <span>demos</span>: Submission is a 2-page short paper describing the post/<span>demo</span> content, research, relevance and importance to Big Data and Cloud Computing community. If accepted, the 2-page short paper will be published in the main conference proceedings.<br>
<br><br>2. Web published posters and <span>demos</span>: Submission is a 1-page extended abstract. Such posters/<span>demos</span> will not be included in the conference proceedings, but will be published on the conference website.</div>
<div><br></div>---------------<br><font face="Verdana">Participants are invited to submit
posters and research demos to BDCloud2014. BDCloud2014 (Big Data and
Cloud Computing)
is created to provide a prime international forum for both researchers,
industry practitioners and environment experts to exchange the latest
fundamental advances in the state of the art and practice of Big Data
and Cloud Computing as well as joint-venture and synergic
research and development across various related areas. Topics of interest for
posters and demos include, but not limited to</font>:<br>
<br><p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Fundamentals of cloud computing</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Architectural cloud models </font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Programming cloud models </font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Provisioning/pricing cloud models </font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au">D</span>ata storage and
computation in cloud computing</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Resource and large-scale job scheduling in
cloud computing</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Security, privacy, trust, risk in cloud
<span lang="en-au">and big data</span></font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Fault tolerance and reliability in cloud
computing</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Access control to cloud computing</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Resource virtualisation</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Monitoring and auditing in cloud</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Scalable and elastic cloud services</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Social computing and impacts on the cloud</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Innovative HCI and touch-screen models and
technologies to cloud</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Mobile commerce, handheld commerce and
e-markets on cloud</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Intelligent/agent-based cloud computing</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Migration of business applications to cloud</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Energy efficient cloud architecture</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Energy aware data storage and computation in
cloud computing</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Energy aware scheduling, monitoring, auditing
in cloud</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au">Green Cloud</span></font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· Cloud use case studies</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Big Data theory,
applications and challenges </font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Big Data mining and
analytics<span lang="en-au"> on Cloud</span></font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Big Data
Infrastructure<span lang="en-au">, MapReduce</span> and Cloud Computing</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Big Data
visualization</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Large
<span lang="en-au">data </span>stream<span lang="en-au">, incremental
datasets </span>on cloud</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Distributed and
federated datasets</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>NoSQL data stores and
DB scalability</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Big Data sharing<span lang="en-au">,
security, </span>privacy<span lang="en-au"> and trust</span></font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Big Data placement,
scheduling, and optimization</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Distributed file
systems for Big Data</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Big Data processing,
resource scheduling and SLA<span lang="en-au"> on Cloud</span></font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Performance
characterization, evaluation and optimization</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Simulation and
debugging of Big Data systems</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Volume, Velocity,
Variety, Value and Veracity of Big Data</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Storage and
computation management of Big Data</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Large-scale workflow
<span lang="en-au">management in </span>Big Data</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Data management and
distributed data systems</font></p>
<p class="MsoNormal" style="margin:3pt" align="justify">
<font face="Verdana">· <span lang="en-au"> </span>Big data applications</font></p><br>Chairs:<br>Nazanin Borhan, University of Technology Sydney, Australia<br>Rajiv Ranjan, CSIRO, Australia</div></div></div></div></div>
</div></div></div></div></div></div></div></div>
</div><br></div>