A Note on Dynamic Big Data Driven Application Systems (DBDDAS) with Examples
Dynamic Data-Driven Application Systems (DDDAS) is a paradigm whereby applications and measurements become a symbiotic feedback control system with the ability to dynamically incorporate additional data into an executing application and to dynamically steer the measurement process, which provides more accurate analysis and prediction, more precise controls, and more reliable outcomes.Big Data (BD) is a paradigm for methods to handle nearly infinite amounts of data that is either streamed or historically stored and potentially ever growing datasets for data mining.Almost all interesting DDDAS cases overlap with Big Data.Solving one solves for the other one, so it makes sense to study both simultaneously.The ability of an application to control and guide the measurement process and determine when, where, and how it is best to gather additional data has itself the potential of enabling more effective measurement methodologies.This paper discusses combing DDDAS and BD.
Big Data Dynamic Data-Driven Application System DDDAS Intelligent Sensing and Processing ISP
Craig C.Douglas Li Deng Yalchin Efendiev Robert Lodder
University of Wyoming, Laramie, WY 82071, USA;King Abdullah University of Science & Technology, Thuw University of Wyoming, Laramie, WY 82071, USA Texas A&M University, College Station, TX, USA;King Abdullah University of Science & Technology, Thu University of Kentucky, Lexington, KY 40506, USA
国际会议
上海
英文
40-48
2013-08-01（万方平台首次上网日期，不代表论文的发表时间）