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 =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D 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. =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D
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