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United States Department of Agriculture

Agricultural Research Service

Research Project: Spatial Modeling of Agricultural Watersheds: Water and Nutrient Management and Targeted Conservation Effects at Field to Watershed Scales

Location: Water Management Systems Research

Title: Model-as-a-service (MaaS) using the cloud service innovation platform (CSIP))

Author
item Olaf, David
item Lloyd, Wes
item Rojas, Ken
item Arabi, Mazdak
item Geter, Frank
item Ascough, James
item Green, Timothy
item Leavesley, George
item Carlson, Jack

Submitted to: Environmental Modeling International Conference Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 6/18/2014
Publication Date: 6/21/2014
Citation: Olaf, D., Lloyd, W., Rojas, K.W., Arabi, M., Geter, F.W., Ascough II, J.C., Green, T.R., Leavesley, G.H., Carlson, J.R. 2014. Model-as-a-service (MaaS) using the cloud service innovation platform (CSIP). Environmental Modeling International Conference Proceedings. Available: http://www.iemss.org/sites/iemss2014/papers/iemss2014_submission_314.pdf.

Interpretive Summary: This paper presents the Cloud Services Innovation Platform (CSIP) as a software framework offering “Model-as-a-Service” (MaaS). It describes both the internal CSIP infrastructure and software architecture that manages cloud resources for typical modelling tasks, and the use of CSIP's “ModelServices” API for a modelling application. CSIP's architecture supports fast and resource aware auto-scaling of computational resources. An example model service is presented: the USDA hydrograph model EFH2 used in the desktop-based “engineering field tools” is deployed as a CSIP service. This and other MaaS CSIP examples benefit from the use of cloud resources to enable straightforward scalable model deployment into cloud environments.

Technical Abstract: Cloud infrastructures for modelling activities such as data processing, performing environmental simulations, or conducting model calibrations/optimizations provide a cost effective alternative to traditional high performance computing approaches. Cloud-based modelling examples emerged into the more formal notion: “Model-as-a-Service” (MaaS). This paper presents the Cloud Services Innovation Platform (CSIP) as a software framework offering MaaS. It describes both the internal CSIP infrastructure and software architecture that manages cloud resources for typical modelling tasks, and the use of CSIP's “ModelServices” API for a modelling application. CSIP's architecture supports fast and resource aware auto-scaling of computational resources. An example model service is presented: the USDA hydrograph model EFH2 used in the desktop-based “engineering field tools” is deployed as a CSIP service. This and other MaaS CSIP examples benefit from the use of cloud resources to enable straightforward scalable model deployment into cloud environments.

Last Modified: 8/24/2016
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