Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis
Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis
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DOI：
10.1016/j.ecoinf.2009.08.008
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发表时间：
2010-01-01
影响因子：
5.1
通讯作者：
Hosseini, Parviez R.
中科院分区：
文献类型：
--
作者：
Barseghian, Derik;Altintas, Ilkay;Hosseini, Parviez R.
现在，环境传感器网络通常被部署在环境观测站中，并作为较小规模的生态和环境实验的组成部分有效地使用来自这些传感器网络的数据提出了技术挑战，这些挑战难以克服科学家。严重限制了环境科学中自动传感技术的采用，分析加工的实时环境（REAP）是一个由NSF资助的项目，旨在解决与开普勒科学工作流中内部访问和使用异质性传感器数据相关的技术挑战在陆地生态学和海洋学中，我们描述了工作流程和扩展，以开放和分析观测网络和分析数据档案我们重点介绍了Kepler Dataturbine中的两个新集成的数据源和OPENDAP在Kepler内部使用近乎实时数据流和数据档案的集成访问，从而促进了简单的数据探索和复杂的分析以及使用这些数据源进行建模（C） 2009 Elsevier B.V.保留所有权利
Environmental sensor networks are now commonly being deployed within environmental observatories and as components of smaller-scale ecological and environmental experiments Effectively using data from these sensor networks presents technical challenges that are difficult for scientists to overcome. severely limiting the adoption of automated sensing technologies in environmental science The Realtime Environment for Analytical Processing (REAP) is an NSF-funded project to address the technical challenges related to accessing and using heterogeneous sensor data from within the Kepler scientific workflow system Using distinct use cases in terrestrial ecology and oceanography as motivating examples, we describe workflows and extensions to Kepler to stream and analyze data from observatory networks and archives We focus on the use of two newly integrated data Sources in Kepler DataTurbine and OPeNDAP Integrated access to both near real-time data streams and data archives from within Kepler facilitates both simple data exploration and sophisticated analysis and modeling with these data sources (C) 2009 Elsevier B.V. All rights reserved