<div dir="ltr"><div class="gmail_default" style="font-family:georgia,serif"><div style="font-family:arial,sans-serif;line-height:normal"><div style="word-wrap:break-word"><div><font color="#5856d6"><br></font>================================================<br><span style="font-size:18pt;text-align:center">The First Workshop on Mission-Critical Big Data Analytics (MCBDA 2016)</span><br> <br><span style="text-align:justify">The Mission-Critical Big Data Analytics workshop (MCBDA 2016) is intended to serve as a forum for discussion of all aspects of current </span><span style="text-align:justify">research and development in big data analytics, especially in support of mission-critical applications. </span><br><span style="text-align:justify"> </span><br><span style="text-align:justify">The big data era has led to a wealth of</span><b style="text-align:justify"> </b><span style="text-align:justify">fundamental and practical research that focuses on solving the challenges involved in analyzing massive volumes of complex data from a variety of sources. Furthermore, there is a growing demand for real-time stream data analytics to support mission-critical applications in military, healthcare, retail, security, and other important sectors. A big data analytics platform is needed that is able to continuously process streaming data from smart sensors, cameras, and other devices and to help make real-time decisions for mission-critical applications. This requirement, in turn, is driving innovation in areas such as computing platform design, programming models, communications, IoT/sensor networks, and algorithms. The objective of this workshop is to bring together researchers to discuss the state of the art and potential innovations in these fields, and to publish findings that address the big data analytics challenges.  </span><br><span style="text-align:justify"> </span><br><span style="text-align:justify">Authors are invited to submit work that is related to the theme of this conference, as described below. The workshop program will include submitted presentations on cutting edge research topics in big data, keynote speeches, and tutorial sessions with hands-on training. These will be accompanied by a poster session and a demo session where students will present their work.</span><br><span style="text-align:justify"> </span><br><span style="text-align:justify">This two-day event will</span><span style="text-align:justify"> take place on May 16-17, 2016 at Prairie View A&M University. P</span><span style="text-align:justify">art of the Texas A&M University System, Prairie View is an HBCU located near Houston, Texas.</span><br>Topics of Interest<br> <br>Topics of the workshop include, but are not limited to, the following.<br>1.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Architecture<br>a.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Big Data Analytics Platforms<br>b.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Cloud Computing for Big Data Analytics<br>c.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">      </span>Heterogeneous Cloud Platform with GPU, APU, FPGA<br>d.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Dynamic resource provisioning<br>e.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Big data storage architecture<br>2.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Programming Models<br>a.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>New scalable programming models for big data analytics<br>b.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Spark / MapReduce Performance characterization and optimization<br>c.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">      </span>Spark / MapReduce on Heterogeneous computing systems<br>d.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Extensions of Spark/MapReduce<br>e.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Debugging and Performance Tools<br>3.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Algorithms<br>a.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Machine Learning algorithms<br>b.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Data Mining algorithms<br>c.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">      </span>Statistical methods<br>d.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Graph algorithms<br>e.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Big data querying and search<br>4.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Applications<br>a.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Mission-critical big data analytics applications<br>b.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Stream processing/analytics applications <br>c.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">      </span>Data-intensive applications using Spark/MapReduce<br>d.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Real-time applications<br>e.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Image and video analytics<br>5.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Big Data Collection and Aggregation:<br>a.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Big data collection in IoT/sensor networks<br>b.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Big data processing schemes in IoT/sensor networks<br>c.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">      </span>Mobile and cloud support for IoT/sensor networks<br>d.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Security and privacy in IoT/sensor networks<br>e.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Energy efficiency of IoT/sensor networks<br>6.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>HPC and Big Data<br>a.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Convergence of HPC and Big Data Frameworks<br>b.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>HPC programming models for Big Data Applications<br>c.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">      </span>Performance optimizations for Big Data Systems and Applications<br>d.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Performance Modeling for Big Data Computing<br>e.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">     </span>Scientific Computing with Big Data<br>f.<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">      </span>HPC and Big Data Education<br>Important dates<br><span style="font-family:Symbol">·<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">      </span></span>Paper submission: March 31st, 2016 <br><span style="font-family:Symbol">·<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">      </span></span>Notification of acceptance: April 20th, 2016<br><span style="font-family:Symbol">·<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">      </span></span>Camera-ready paper: April 30th, 2016<br><span style="font-family:Symbol">·<span style="font-size:7pt;line-height:normal;font-family:'Times New Roman'">      </span></span>Workshop: May 16th-17th, 2016<br><b style="text-align:justify"> </b><br><b style="text-align:justify"> </b><br><b style="text-align:justify"> </b><br><b style="text-align:justify"><span style="font-size:16pt;font-family:Calibri;color:rgb(31,73,125)">STEERING COMMITTEE</span></b><br><span style="font-family:Calibri;text-align:justify"> </span><br><span style="font-family:Calibri;text-align:justify">Cajetan Akujuobi, PVAMU</span><br><span style="font-family:Calibri;text-align:justify">Evelyn Kent, OSD/DOD</span><br><span style="font-family:Calibri;text-align:justify">Jie Liu, Microsoft Research</span><br><span style="font-family:Calibri;text-align:justify"> </span><br><b style="text-align:justify"><span style="font-size:16pt;font-family:Calibri;color:rgb(31,73,125)">ORGANIZING COMMITTEE</span></b><br><span style="font-family:Calibri;text-align:justify"> </span><br><b style="text-align:justify"><span style="font-family:Calibri">General Chairs</span></b><br><span style="font-family:Calibri;text-align:justify"> </span><br><span style="font-family:Calibri;text-align:justify">Barbara Chapman, Stony Brook University</span><br><span style="font-family:Calibri;text-align:justify">Timothy S. Kroecker, AFRL</span><br><span style="font-family:Calibri;text-align:justify"> </span><br><b style="text-align:justify"><span style="font-family:Calibri">Technical Program Chairs</span></b><br><span style="font-family:Calibri;text-align:justify"> </span><br><span style="font-family:Calibri;text-align:justify">Alex Aved, AFRL</span><br><span style="font-family:Calibri;text-align:justify">Lijun Qian, PVAMU</span><br><span style="font-family:Calibri;text-align:justify">Lei Huang, PVAMU</span><br><span style="font-family:Calibri;text-align:justify"> </span><br>TECHNICAL PROGRAM COMMITTEE<br><span style="font-family:Calibri">Sikha Bagui, University of West Florida</span><span style="font-family:Calibri">, USA</span><br><span style="font-family:Calibri">Sunita Chandrasekaran, University of Delaware, USA</span><br><span style="font-family:Calibri">Xiaoming Li, University of Delaware, USA</span><br><span style="font-family:Calibri">Chunhua Liao, Lawrence Livermore National Laboratory, USA</span><br><span style="font-family:Calibri">Yongchao Liu, Georgia Tech, USA</span><br><span style="font-family:Calibri">Mariofanna Milanova, University of Arkansas, USA</span><br><span style="font-family:Calibri">Shishir Shah, University of Houston, USA</span><br><span style="font-family:Calibri">Yonghui Wang, Prairie View A&M University, USA</span><br><span style="font-family:Calibri">Dalei Wu, University of Tennessee, USA</span><br><span style="font-family:Calibri">Yonggao Yang, Prairie View A&M University, USA </span><br> <br> <br><b style="text-align:justify"><span style="font-size:16pt;font-family:Calibri;color:rgb(52,90,138)">LOCAL ORGANIZATION COMMITTEE </span></b><br><b style="text-align:justify"><span style="font-size:16pt;font-family:Calibri;color:rgb(52,90,138)"> </span></b><br><strong style="text-align:justify"><span style="font-family:Calibri;border:1pt none windowtext;padding:0in">Yonggao Yang (Publications) </span></strong><br><span style="font-family:Calibri;text-align:justify">Xiangfang Li (Tutorials)</span><br><span style="font-family:Calibri;text-align:justify">Pamela Obiomon (Student Posters)</span><br><strong style="text-align:justify"><span style="font-family:Calibri;border:1pt none windowtext;padding:0in">John Fuller (Local Arrangements)</span></strong><br><strong style="text-align:justify"><span style="font-family:Calibri;border:1pt none windowtext;padding:0in">Paul Potier (Industry Contacts)</span></strong><br><strong style="text-align:justify"><span style="font-family:Calibri;border:1pt none windowtext;padding:0in">Yonghui Wang (Publicity)</span></strong><br><strong style="text-align:justify"><span style="font-family:Calibri;border:1pt none windowtext;padding:0in">Lin Li (Publicity)</span></strong><br><strong style="text-align:justify"><span style="font-family:Calibri;border:1pt none windowtext;padding:0in">Suxia Cui (Finances)</span></strong><br><strong style="text-align:justify"><span style="font-family:Calibri;border:1pt none windowtext;padding:0in">Yuzhong Yan (Registration)</span></strong><br><strong style="text-align:justify"><span style="font-family:Calibri;border:1pt none windowtext;padding:0in"> </span></strong><br><span style="text-align:justify"> </span><br> <br>Paper Submission Guidelines<br><span style="text-align:justify">Submissions may not exceed 4 pages in PDF format including figures and references, and must be formatted in the 2-column IEEE format. Submitted papers must be original work that has not appeared in, and is not under consideration for, another conference or journal. Work in progress is welcome, but preliminary results should be made available as a proof of concept.  Accepted papers will be printed in the conference proceedings.</span><br><span style="text-align:justify"> </span><br><span style="text-align:justify">Selected authors will be invited to submit full-length papers for inclusion in a Special Issue of one of the leading journals in this field. </span><br><font color="#5856d6"><br></font><span style="text-align:justify">Templates are available on the IEEE website: </span><br><a href="http://www.ieee.org/conferences_events/conferences/publishing/templates.html" target="_blank" style="text-align:justify">http://www.ieee.org/conferences_events/conferences/publishing/templates.html</a><br><span style="text-align:justify"> </span><br><span style="text-align:justify">Submissions are to be uploaded at EasyChair:</span><br><a href="http://easychair.org/conferences/?conf=mcbda2016" target="_blank" style="text-align:justify">http://easychair.org/conferences/?conf=mcbda2016</a><br><span style="text-align:justify"> </span><br>Registration<br><span style="text-align:justify"> </span><br><span style="text-align:justify">The workshop registration </span><span style="text-align:justify">fee is $200, including 2 breakfast and 2 lunches. This workshop is FREE for students (registration is required; current student ID is required on site; breakfast and lunch not included). </span><br><span style="text-align:justify"> </span><br>Please register at:<br><a href="https://www.eventbrite.com/e/the-first-workshop-of-mission-critical-big-data-analytics-mcbda-2016-tickets-20587633165" target="_blank" style="text-align:justify">https://www.eventbrite.com/e/the-first-workshop-of-mission-critical-big-data-analytics-mcbda-2016-tickets-20587633165</a><br><span style="text-align:justify"> </span><br>Contact<br><span style="text-align:justify">For further information, contact Prof. Lei Huang, Prairie View A&M University: </span><a href="mailto:lhuang@pvamu.edu" target="_blank" style="text-align:justify"><span style="color:windowtext;text-decoration:none">lhuang@pvamu.edu</span></a><br> <br><font color="#5856d6"><br></font><div style="word-wrap:break-word"><blockquote type="cite"></blockquote></div><div style="word-wrap:break-word"><div><div style="word-wrap:break-word"><p style="text-align:justify"></p><h1></h1><p></p><p></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><p style="margin-left:1in"></p><h1></h1><p></p><p></p><p></p><p></p><h1></h1><h1></h1><p style="text-align:justify"></p><p style="text-align:justify"></p><p style="text-align:justify"></p><p style="text-align:justify"></p><p style="text-align:justify"></p><p style="text-align:justify"></p><h1></h1><p></p><p style="text-align:justify"></p><h1></h1><p style="text-align:justify"></p><div><div style="word-wrap:break-word"></div></div></div></div><br></div></div><br></div></div></div></div>