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Scientific breakthroughs are being increasingly powered by advanced computing capabilities that help researchers manipulate and explore massive datasets. The speed at which any given scientific discipline advances will depend on how well its researchers collaborate with one another, and with technologists, in areas such as databases, workflow management, visualization, and cloud computing technologies. Crunching big data has become imperative and provides competitive advantage to business entities in all industrial verticals. However, it requires addressing technical challenges across multiple dimensions. Smarter Planet typically involves processing data from several sources with multiple modalities such as structured and unstructured data, text, visual and in other formats. Real time processing of large volumes of fast flowing data while simultaneously handling uncertainty is a challenging problem. This requires the academic and industry community to work synchronously in addressing the issues. The workshop will focus on ideas, thoughts and research papers that will elicit the technical challenges in “enabling and providing” big data analytics. It aims to provide an inter-disciplinary platform to discuss issues on enabling orchestration and utilization of Big data to provide “Intelligence” on demand to both the consumers and the enterprises. The workshop comprise a keynote talk by a distinguished researcher in the area of Big Data Analytics and Smarter Planet, followed by presentations of selected technical papers, and a tutorial from a distinguished practitioner. A list of topics for paper submissions to this workshop are mentioned below. Submission of position papers, work in progress, research papers, applied research in specific Smarter Planet domains; experiments with real world Smarter Planet applications, challenges in adopting various technologies to enable enterprise analytical solutions are welcome. Greater preference would be given to papers at the intersection of Smarter Planet and Big Data.

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Topics include but are not limited to: High Performance/Parallel Computing Platforms/Architectures for Big Data Large Scale Data Analytics, Stream processing and Issues Networking Issues for Big Data, Computing Platforms for Big Data Novel Theoretical Models for Big Data / New Computational Models for Big Data Cloud/Grid/Stream Computing for Big Data / Energy-efficient Computing Scientific/Spatiotemporal/Big data/Stream Data/ management and analytics Real Time Predictive/Prescriptive Analytics on Big Data Data Mining for Scientific Discovery Data Mining for Scientific Discovery Big Data Industry Standards / Big Data Open Platforms Programming Models and Environments for Cluster, Cloud, and Grid Computing Software Techniques and Architectures in Cloud/Grid/Stream Computing New Programming Models for Big Data beyond Hadoop/MapReduce, STORM Advanced Database and Web Applications Data Preservation / Data Provenance‎ Workflow Optimization Information Integration, Multi-structured Data Integration, data sources integration, Database Management Challenges: Architecture, Storage, User Interfaces Visualization Analytics for Big Data , Big Data Security & Privacy
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重要日期
  • 会议日期

    01月04日

    2015

    01月07日

    2015

  • 01月07日 2015

    注册截止日期

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