Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis

被引：61

作者：

Barseghian, Derik ^{[1
]}

Altintas, Ilkay ^{[2
]}

Jones, Matthew B. ^{[1
]}

Crawl, Daniel ^{[2
]}

Potter, Nathan ^{[3
]}

Gallagher, James ^{[3
]}

Cornillon, Peter ^{[4
]}

Schildhauer, Mark ^{[1
]}

Borer, Elizabeth T. ^{[5
]}

Seabloom, Eric W. ^{[5
]}

Hosseini, Parviez R. ^{[6
]}

机构：

[1] Natl Ctr Ecol Anal & Synth, Santa Barbara, CA USA

[2] Univ Calif San Diego, San Diego Supercomp Ctr, La Jolla, CA 92093 USA

[3] OPeNDAP Inc, Narragansett, RI 02882 USA

[4] Univ Rhode Isl, Grad Sch Oceanog, Narragansett, RI 02882 USA

[5] Oregon State Univ, Dept Zool, Corvallis, OR 97331 USA

[6] Wildlife Trust, New York, NY 10001 USA

来源：

ECOLOGICAL INFORMATICS | 2010年 / 5卷 / 01期

基金：

美国国家科学基金会;

关键词：

Scientific workflows; Sensors; Near real-time data access; Data analysis; Terrestrial ecology; Oceanography; WIND STRESS; SURFACE; TEMPERATURE; CURRENTS;

D O I：

10.1016/j.ecoinf.2009.08.008

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071301 [植物生态学];

摘要：

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

引用

页码：42 / 50

页数：9

共 44 条

[1]

ALTINTAS I, 2005, LNCS, V3458

[2]

Altintas I., 2004, 16 INT C SCI STAT DA

[3]

ALTINTAS I, 2003, 15 INT C SCI STAT DA

[4]

ALTINTAS I, 2004, 2 INT C WEB SERV ICW