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"Qian,Lijun" <[log in to unmask]>
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Qian,Lijun
Date:
Fri, 22 Jan 2016 17:50:21 +0000
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====================================================
 Mission-Critical Big Data Analytics workshop (MCBDA 2016)

This workshop is sponsored by the Office of the Secretary of Defense Research and Engineering.

The first edition of Mission-Critical Big Data Analytics workshop (MCBDA 2016) is going to take place on May 16-17, 2016 at Prairie View A&M University (PVAMU), Prairie View, TX, USA. Prairie View A&M University is a member of the Texas A&M University System and an HBCU located near Houston, Texas. This two-day workshop will cover the state-of-the-art research and development in big data analytics, especially for mission-critical applications. There will be keynote speeches by renowned speakers, and hands-on tutorial sessions. Cutting-edge Big Data research will be presented and student poster and demos session will also be held.



Paper Submission Guidelines



Published papers will appear in the conference proceedings. Selected papers will be invited to publish on a Special Issue of the journal: Concurrency and Computing: Practice and Experience (Wiley).



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.



Templates are available on the IEEE website:

http://www.ieee.org/conferences_events/conferences/publishing/templates.html<https://urldefense.proofpoint.com/v2/url?u=https-3A__na01.safelinks.protection.outlook.com_-3Furl-3Dhttps-253a-252f-252furldefense.proofpoint.com-252fv2-252furl-253fu-253dhttp-2D3A-5F-5Fwww.ieee.org-5Fconferences-2D5Fevents-5Fconferences-5Fpublishing-5Ftemplates.html-2526d-253dBQMFAg-2526c-253daKVGQ2uftgEtyjWUfhfCVjzs5Cm37-5FHE6-2DsIB-2DMDAow-2526r-253dVUD67G4ana7-2D-5F4SUiHb-5FyA-2526m-253dT1T3JY-2Dz51IcmMmhFXycK4B19c00iJu6DYJXWxhJ8z0-2526s-253dd1jsuQMNjJccEl8WlgEufQFdc7x7Up1OuQYmnuHBlx4-2526e-253d-26data-3D01-257c01-257cJie.Liu-2540microsoft.com-257cdab669ba76a245b90e1408d322d78769-257c72f988bf86f141af91ab2d7cd011db47-257c1-26sdata-3DTaBGC5MD9P7totjiYUtg4AEsz5tBDo71xjARjc3oDAM-253d&d=BQMFAg&c=aKVGQ2uftgEtyjWUfhfCVjzs5Cm37_HE6-sIB-MDAow&r=VUD67G4ana7-_4SUiHb_yA&m=Dtrx-M_7_gsElHgU0jQ3BrCnJUoL7pXBvZjt0txb7A0&s=gSAnlLSEUhzO_IOeEXh-0wzXLSGnSfrPxVyaFX7FjP0&e=>



Submissions are handled by EasyChair:

http://easychair.org/conferences/?conf=mcbda16<https://urldefense.proofpoint.com/v2/url?u=https-3A__na01.safelinks.protection.outlook.com_-3Furl-3Dhttps-253a-252f-252furldefense.proofpoint.com-252fv2-252furl-253fu-253dhttp-2D3A-5F-5Feasychair.org-5Fconferences-5F-2D3Fconf-2D3Dmcbda16-2526d-253dBQMFAg-2526c-253daKVGQ2uftgEtyjWUfhfCVjzs5Cm37-5FHE6-2DsIB-2DMDAow-2526r-253dVUD67G4ana7-2D-5F4SUiHb-5FyA-2526m-253dT1T3JY-2Dz51IcmMmhFXycK4B19c00iJu6DYJXWxhJ8z0-2526s-253djvDlGOIU2-2Dx44bc14s6HH1t1FvC7Wh6D6aHA7yx4fxk-2526e-253d-26data-3D01-257c01-257cJie.Liu-2540microsoft.com-257cdab669ba76a245b90e1408d322d78769-257c72f988bf86f141af91ab2d7cd011db47-257c1-26sdata-3D-252fvT9cANA-252bBNonogLf6LSnQ5bU3RffRpQt6lBU5srzww-253d&d=BQMFAg&c=aKVGQ2uftgEtyjWUfhfCVjzs5Cm37_HE6-sIB-MDAow&r=VUD67G4ana7-_4SUiHb_yA&m=Dtrx-M_7_gsElHgU0jQ3BrCnJUoL7pXBvZjt0txb7A0&s=YPNi51Syd9J-kwLRl14T2JwiiT-JjryNv3hFGvlCWqk&e=> <http://easychair.org/conferences/?conf=mcbda16<https://urldefense.proofpoint.com/v2/url?u=https-3A__na01.safelinks.protection.outlook.com_-3Furl-3Dhttps-253a-252f-252furldefense.proofpoint.com-252fv2-252furl-253fu-253dhttp-2D3A-5F-5Feasychair.org-5Fconferences-5F-2D3Fconf-2D3Dmcbda16-2526d-253dBQMFAg-2526c-253daKVGQ2uftgEtyjWUfhfCVjzs5Cm37-5FHE6-2DsIB-2DMDAow-2526r-253dVUD67G4ana7-2D-5F4SUiHb-5FyA-2526m-253dT1T3JY-2Dz51IcmMmhFXycK4B19c00iJu6DYJXWxhJ8z0-2526s-253djvDlGOIU2-2Dx44bc14s6HH1t1FvC7Wh6D6aHA7yx4fxk-2526e-253d-26data-3D01-257c01-257cJie.Liu-2540microsoft.com-257cdab669ba76a245b90e1408d322d78769-257c72f988bf86f141af91ab2d7cd011db47-257c1-26sdata-3D-252fvT9cANA-252bBNonogLf6LSnQ5bU3RffRpQt6lBU5srzww-253d&d=BQMFAg&c=aKVGQ2uftgEtyjWUfhfCVjzs5Cm37_HE6-sIB-MDAow&r=VUD67G4ana7-_4SUiHb_yA&m=Dtrx-M_7_gsElHgU0jQ3BrCnJUoL7pXBvZjt0txb7A0&s=YPNi51Syd9J-kwLRl14T2JwiiT-JjryNv3hFGvlCWqk&e=>>





Important dates



·       Paper submission: March 31st, 2016

·       Notification of acceptance: April 20th, 2016

·       Camera-ready paper: April 30th, 2016

·       Workshop: May 16th-17th, 2016



Topics of Interest



Topics of the workshop include, but are not limited to, the following.

1.     Architecture

a.     Big Data Analytics Platforms

b.     Cloud Computing for Big Data Analytics

c.      Heterogeneous Cloud Platform with GPU, APU, FPGA

d.     Dynamic resource provisioning

e.     Big data storage architecture

2.     Programming Models

a.     New scalable programming models for big data analytics

b.     Spark / MapReduce Performance characterization and optimization

c.      Spark / MapReduce on Heterogeneous computing systems

d.     Extensions of Spark/MapReduce

e.     Debugging and Performance Tools

3.     Algorithms

a.     Machine Learning algorithms

b.     Data Mining algorithms

c.     Statistical methods

d.     Graph algorithms

e.     Big data querying and search

4.     Applications

a.     Mission-critical big data analytics applications

b.     Stream processing/analytics applications

c.      Data-intensive applications using Spark/MapReduce

d.     Real-time applications

e.     Image and video analytics

5.     Big Data Collection and Aggregation:

a.     Big data collection in IoT/sensor networks

b.     Big data processing schemes in IoT/sensor networks

c.      Mobile and cloud support for IoT/sensor networks

d.     Security and privacy in IoT/sensor networks

e.     Energy efficiency of IoT/sensor networks

6.     HPC and Big Data

a.     Convergence of HPC and Big Data Frameworks

b.     HPC programming models for Big Data Applications

c.      Performance optimizations for Big Data Systems and Applications

d.     Performance Modeling for Big Data Computing

e.     Scientific Computing with Big Data

f.      HPC and Big Data Education



 STEERING COMMITTEE



·       Cajetan Akujuobi, PVAMU

·       Evelyn Kent, OSD/DOD

·       Jie Liu, Microsoft Research



ORGANIZING COMMITTEE



General Chairs



·       Barbara Chapman, Stony Brook University

·       Timothy S. Kroecker, AFRL



Technical Program Chairs



·       Alex Aved, AFRL

·       Lijun Qian, PVAMU

·       Lei Huang, PVAMU



TECHNICAL PROGRAM COMMITTEE



·       Sikha Bagui, University of West Florida, USA

·       Sunita Chandrasekaran, University of Delaware, USA

·       Xiaoming Li, University of Delaware, USA

·       Chunhua Liao, Lawrence Livermore National Laboratory, USA

·       Yongchao Liu, Georgia Tech, USA

·       Mariofanna Milanova, University of Arkansas, USA

·       Shishir Shah, University of Houston, USA

·       Yonghui Wang, Prairie View A&M University, USA

·       Dalei Wu, University of Tennessee, USA

·       Yonggao Yang, Prairie View A&M University, USA



 ============================================



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