<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>Call for papers: IEEE Transactions on Big Data Special Issue on Big Data Infrastructure
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</font><p style="margin:0cm 0cm 0pt;text-align:justify"><font size="3"><font face="Times New Roman"><font color="#000000"><span lang="EN-AU">Data is becoming an increasingly decisive
resource in modern societies, economies, and governmental organizations. Big
Data is an emerging paradigm encompassing various kinds of complex and large
scale information beyond the processing capability of conventional software and
databases. Various technologies are being discussed to support the handling of
big data such as massively parallel processing databases, scalable storage
systems, cloud computing platforms, Hadoop and Spark.<span> </span></span><span>Due
to the multisource, massive, heterogeneous, and dynamic characteristics of
application data involved in a distributed environment, one of the most
important characteristics of Big Data is to carry out computing on the petabyte
(PB), even the exabyte (EB)-level data with a complex computing process.
Therefore, large-scale scalable Big Data Infrastructure with corresponding
programming language support and software models for efficient processing in
distributed environments such as cloud is on demand.</span></font></font></font></p><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt;text-align:justify;line-height:normal"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt"><font color="#000000"> </font></span></p><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt;text-align:justify"><font size="3"><font face="Times New Roman"><font color="#000000"><span lang="EN-AU">In this special
issue, we invite articles on innovative research to address challenges of Big
Data Infrastructure with emerging computing platforms such as heterogeneous
clouds, hybrid architectures, Hadoop or Spark with emphasis on addressing
real-time requirements imposed by emerging Big Data applications such as
sensing data, </span><span lang="EN-AU">e-commerce data, business transactions
and web logs, and etc. </span><span>Topics of
interests include, but are not limited to:</span></font></font></font></p><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt;text-align:justify;line-height:normal"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt"><font color="#000000"> </font></span></p><font color="#000000" face="Times New Roman" size="3">
</font><ul style="list-style-type:disc;direction:ltr"><li style="font-style:normal;font-weight:normal"><p style="line-height:normal;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Data
sensing and Data fusion</span></p></li><li style="color:rgb(0,0,0);font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Scalable
data storage and computation management for Big Data</span></p></li><li style="color:rgb(0,0,0);font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Resource
scheduling, SLA, Fault tolerance and reliability for Big Data </span></p></li><li style="color:rgb(0,0,0);font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Multiple
source streaming data processing and integration</span></p></li><li style="color:rgb(0,0,0);font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Virtualisation
and visualisation of Big Data</span></p></li><li style="color:rgb(0,0,0);font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Novel
programming models and platforms such as MapReduce or Spark for Big Data</span></p></li><li style="color:rgb(0,0,0);font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Security
and privacy in Big Data processing </span></p></li><li style="color:rgb(0,0,0);font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Green,
energy-efficient models and sustainability issues for </span><span style="font-family:"Times New Roman","serif";font-size:12pt">Big Data</span></p></li><li style="color:rgb(0,0,0);font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Innovative
Cloud infrastructure for Big Data</span></p></li><li style="color:rgb(0,0,0);font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Wireless
and mobility support in for Big Data</span></p></li><li style="color:rgb(0,0,0);font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Scalable
software platforms for fast Big Data analytics on heterogeneous and hybrid
architectures</span></p></li><li style="color:rgb(0,0,0);font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt">Big
Data applications on heterogeneous architectures such as healthcare,
surveillance and sensing, e-commerce, and etc.</span></p></li></ul><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt"><b><span lang="EN-AU"><font color="#000000" face="Times New Roman" size="3"> </font></span></b></p><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt;line-height:normal"><b><span style="color:black;font-family:"Times New Roman","serif";font-size:12pt">Submission Instructions </span></b></p><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt;text-align:justify"><font size="3"><font face="Times New Roman"><span style="color:black">Before
submitting your manuscript, please ensure you have carefully read the </span><span lang="EN-AU"><a href="http://www.computer.org/web/tbd/author" target="_blank"><span lang="EN-US"><font color="#0000ff">Instructions for Authors</font></span></a></span><span style="color:blue"> </span><span style="color:black">for
<i>IEEE Transactions on Big Data </i>(TBD). The complete manuscript should be
submitted through TBD’s </span><span lang="EN-AU"><a href="https://mc.manuscriptcentral.com/tbd-cs" target="_blank"><span lang="EN-US"><font color="#0000ff">submission system</font></span></a></span><span style="color:black">. To ensure that you submit to the correct
special issue, please select the appropriate section in the drop-down menu upon
submission. In your cover letter, please also clearly mention the title of the
SI.</span></font></font></p><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt"><b><span><font color="#000000" face="Times New Roman" size="3"> </font></span></b></p><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt"><b><span style="color:black"><font face="Times New Roman" size="3">Important Dates</font></span></b></p><font color="#000000" face="Times New Roman" size="3">
</font><ul style="list-style-type:disc;direction:ltr"><li style="font-style:normal;font-weight:normal"><p style="line-height:normal;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span style="color:black;font-family:"Times New Roman","serif";font-size:12pt">30/01/2016<span> </span>Paper
submission due</span></p></li><li style="color:black;font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span style="color:black;font-family:"Times New Roman","serif";font-size:12pt">30/03/2016<span> </span>1st
round review due </span></p></li><li style="color:black;font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span style="color:black;font-family:"Times New Roman","serif";font-size:12pt">15/05/2016<span> </span>1st
revision due </span></p></li><li style="color:black;font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span style="color:black;font-family:"Times New Roman","serif";font-size:12pt">15/06/2016<span> </span>2nd
round review due </span></p></li><li style="color:black;font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span style="color:black;font-family:"Times New Roman","serif";font-size:12pt">15/07/2016<span> </span>2nd
revision due </span></p></li><li style="color:black;font-family:"Times New Roman","serif";font-size:12pt;font-style:normal;font-weight:normal"><p style="color:rgb(0,0,0);line-height:normal;font-family:"Calibri","sans-serif";font-size:11pt;font-style:normal;font-weight:normal;margin-top:0cm;margin-bottom:0pt"><span style="color:black;font-family:"Times New Roman","serif";font-size:12pt">30/07/2016<span> </span>Final
due </span></p></li></ul><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt"><span><font color="#000000" face="Times New Roman" size="3"> </font></span></p><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt;text-align:justify"><b><span lang="EN-AU"><font color="#000000" face="Times New Roman" size="3">Guest Editors</font></span></b></p><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt 10.75pt;line-height:normal"><span lang="IT" style="font-family:"Times New Roman","serif";font-size:12pt"><font color="#000000">A/Prof. Jinjun Chen, <a href="mailto:Jinjun.Chen@gmail.com" target="_blank">Jinjun.Chen@gmail.com</a>, University of
Technology Sydney, Australia</font></span></p><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt 10.75pt;line-height:normal"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt"><font color="#000000">A/Prof. Honggang
Wang, <a href="mailto:hwang1@umassd.edu" target="_blank">hwang1@umassd.edu</a>, UMass Dartmouth, USA</font></span></p><font color="#000000" face="Times New Roman" size="3">
</font><p style="margin:0cm 0cm 0pt 10.75pt;line-height:normal"><span lang="EN-AU" style="font-family:"Times New Roman","serif";font-size:12pt"><font color="#000000">Prof. Manish
Parashar, <a href="mailto:parashar@rutgers.edu" target="_blank">parashar@rutgers.edu</a>, Rutgers, The State University of New Jersey</font></span></p><font color="#000000" face="Times New Roman" size="3">
</font></div></div></div></div></div></div></div>
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