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Call for Papers -- 2014 International Workshop on Big Data Analytics, Management and Storage (BDAMS-2014)

2014 International Workshop on Big Data Analytics, Management and Storage (=
BDAMS-2014)
To be held in conjunction with
The Third ASE International Conference on Big Data Science and Computing
http://www.scienceengineering.org/ase/conference/2014/bigdata/beijing/websi=
te/
August 4 - 7, 2014
Beijing, China


Paper Submission Deadline: May 15, 2014
Notification of acceptance: June 1, 2014
Camera-ready: June 15, 2014
Workshop date:  Aug. 4, 2014

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Big data has shown great capability in yielding extremely useful informatio=
n and extraordinary potential in revolutionizing scientific discoveries and=
 traditional commercial models. Numerous corporations started to utilize bi=
g data to understand their customers' behavior at a fine-grained level, ret=
hink their business process workflow, and increase their productivity and c=
ompetitiveness.  Scientists are using big data to make new discoveries that=
 are not possible before. As the volume, velocity, variety, and veracity of=
 big data keep increasing, we are facing significant challenges with respec=
t to innovative big data management, efficient big data analytics and low-c=
ost big data storage solutions.  This workshop aims to bring researchers an=
d industry pioneers together to share their vision, discuss the ideas and d=
emonstrate use cases on big data analytics, management and storage.

The topics of interest of this workshop include but are not limited to:
* Novel Computational and Programming Models for Big Data
* High Performance and Parallel Processing for Big Data
* Big Data processing with Accelerators/Coprocessors (GPU, APU, MIC)
* Effective Management of Commercial, Mobile and Social Big Data
* Effective Management of Big Data in Scientific Computing
* Workflow Optimization for Automate Big Data Analytics
* Database Management Challenges: SQL and NoSQL
* New Algorithms and Architectures for Big Data Analytics
* Scalable and Low-Cost Algorithms and Systems for Big Data Storage
* Software and Hardware Architectures for Real-Time Big Data Analytics
* Energy-efficiency of Big Data Analytics and Storage
* Use Case of Big Data for Commercial Applications
* Use Case of Big Data for Scientific Applications
* Case Studies of Big Data Project Deployments
* Industry Standards and Open Platforms for Big Data

All papers (in PDF format) should be submitted electronically using the wor=
kshop submission system (soon to be made available at http://bigdata2014bei=
jing.scienceengineering.org/). The submission is limited to 6 pages and sho=
uld follow the ASE Big Data Science 2014 - Beijing format requirements (Pap=
er Styles).
All papers submitted to this workshop will be peer-reviewed and accepted ba=
sed on their scientific merit and relevance to the workshop topics.  Each s=
ubmission should be regarded as an undertaking that, should the paper be ac=
cepted, at least one of the authors must attend the workshop to present the=
 work in order for the paper to be included in the ASE Digital Library.

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