Rights statement: © ACM, 2013. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CloudDP '13 Proceedings of the 3rd International Workshop on Cloud Data and Platforms http://dx.doi.org/10.1145/10.1145/2460756.2460759
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Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Experiences of using a hybrid cloud to construct an environmental virtual observatory
AU - Elkhatib, Yehia
AU - Blair, Gordon
AU - Surajbali, Bholanathsingh
N1 - © ACM, 2013. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CloudDP '13 Proceedings of the 3rd International Workshop on Cloud Data and Platforms http://dx.doi.org/10.1145/10.1145/2460756.2460759
PY - 2013/4
Y1 - 2013/4
N2 - Environmental science is often fragmented: data is collected using mismatched formats and conventions, and models are misaligned and run in isolation. Cloud computing offers a lot of potential in the way of resolving such issues by supporting data from different sources and at various scales, by facilitating the integration of models to create more sophisticated software services, and by providing a sustainable source of suitable computational and storage resources. In this paper, we highlight some of our experiences in building the Environmental Virtual Observatory pilot (EVOp), a tailored cloud-based infrastructure and associated web-based tools designed to enable users from different backgrounds to access data concerning different environmental issues. We review our architecture design, the current deployment and prototypes. We also reflect on lessons learned. We believe that such experiences are of benefit to other scientific communities looking to assemble virtual observatories or similar virtual research environments.
AB - Environmental science is often fragmented: data is collected using mismatched formats and conventions, and models are misaligned and run in isolation. Cloud computing offers a lot of potential in the way of resolving such issues by supporting data from different sources and at various scales, by facilitating the integration of models to create more sophisticated software services, and by providing a sustainable source of suitable computational and storage resources. In this paper, we highlight some of our experiences in building the Environmental Virtual Observatory pilot (EVOp), a tailored cloud-based infrastructure and associated web-based tools designed to enable users from different backgrounds to access data concerning different environmental issues. We review our architecture design, the current deployment and prototypes. We also reflect on lessons learned. We believe that such experiences are of benefit to other scientific communities looking to assemble virtual observatories or similar virtual research environments.
U2 - 10.1145/2460756.2460759
DO - 10.1145/2460756.2460759
M3 - Conference contribution/Paper
SN - 9781450320757
SP - 13
EP - 18
BT - CloudDP '13
PB - ACM
CY - New York
ER -