@inproceedings{532d0fcfadec4ec1a6c821ab126411e4,
title = "Large-scale real-time data-driven scientific applications",
abstract = "Large-scale real-time data processing is becoming common in many scientific disciplines. But processing large amount of data in real-time is still challenging with existing technology. In last few years, the dynamic data driven approach is becoming people's spotlight due to its potential in reducing data intelligently. Enlighten by this concept, a new data-driven framework for large-scale real-time data analysis is proposed in this work and a scientific application under this framework is given in details. By introducing additional information to data analysis processes, large-scale data processing can be achieved with real-time time constraint.",
keywords = "Dynamic data-driven, Real-time computing, Scalability, Scientific applications",
author = "Junwei Cao and Junwei Li",
year = "2011",
doi = "10.1109/ICNDC.2011.31",
language = "English",
isbn = "9780769544274",
series = "Proceedings - 2nd International Conference on Networking and Distributed Computing, ICNDC 2011",
pages = "116--121",
booktitle = "Proceedings - 2nd International Conference on Networking and Distributed Computing, ICNDC 2011",
note = "2nd International Conference on Networking and Distributed Computing, ICNDC 2011 ; Conference date: 21-09-2011 Through 24-09-2011",
}