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Open Access. Powered by Scholars. Published by Universities.®

Brigham Young University

2018

Cloud computing

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Going Serverless: Evaluating The Potential Of Serverless Computing For Environmental Modeling Application Hosting, Baojia Zhang, Wes J. Lloyd, Olaf David, George Leavesley Jun 2018

Going Serverless: Evaluating The Potential Of Serverless Computing For Environmental Modeling Application Hosting, Baojia Zhang, Wes J. Lloyd, Olaf David, George Leavesley

International Congress on Environmental Modelling and Software

Recently serverless computing platforms have emerged that provide automatic web service hosting in the cloud. These platforms are promoted for their ability to host “micro” services to end users while seamlessly integrating key features including 24/7 high availability, fault tolerance, and automatic scaling of resources to meet user demand. Serverless Computing environments abstract the majority of infrastructure management tasks including VM/container creation, and load balancer configuration. A key benefit of serverless computing is FREE access to cloud computing resources. Many platforms provide free access for up to 1,000,000 service requests/month with 1 GB of memory for 400,000 seconds/month. Additionally, serverless …


The Agricultural Ecosystems Services (Ages) Watershed Model Integrated Into The Environmental Resources Assessment And Management System (Erams) And Cloud Services Integration Platform (Csip), Nathan Lighthart, Olaf David, Timothy R. Green, Gregory S. Mcmaster, David Arden Patterson, Mazdak Arabi, Holm Kipka Jun 2018

The Agricultural Ecosystems Services (Ages) Watershed Model Integrated Into The Environmental Resources Assessment And Management System (Erams) And Cloud Services Integration Platform (Csip), Nathan Lighthart, Olaf David, Timothy R. Green, Gregory S. Mcmaster, David Arden Patterson, Mazdak Arabi, Holm Kipka

International Congress on Environmental Modelling and Software

Distributing models to various users can be difficult and prone to error, and therefore may negatively reflect on the program. Model distribution typically involves users downloading and installing the model following setup instructions. However, if this step is not handled correctly, the model is not able to be used correctly. Deploying a model through a web interface allows the user to focus on running the model rather than ensuring the model is setup correctly. The eRAMS/CSIP platform is designed to provide visual tools for models to be parameterized and connected to input data (eRAMS), and run using a remote web …