An architecture and implementation to support large-scale data access in scientific simulation environments

At Sandia National Laboratories, a Data Services system is under development to provide web-based access to high-performance computing clusters. These clusters host a set of scalable post-processing applications for very large data manipulation and visualization of results generated by large-scale simulations in support of the design to analysis process for ensuring safety and reliability of the nation's nuclear weapons stockpile. The primary contribution of this work is the integration of standards-based web services technologies, grid-enabling software, and a component framework for parallel computing, resulting in a service-oriented architecture which provides end users the ability from their desktops to manage and understand simulation results for very large, complex problems.

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Integrating Web service and grid enabling technologies to provide desktop access to high-performance cluster-based components for large-scale data services

Holmes¹,

Johnson²,

Miller³

36th Annual Simulation Symposium, 2003.

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Integrating metadata tools with the data services archive provide web-based management of large-scale scientific simulation data

Holmes¹,

Johnson²,

Miller³

37th Annual Simulation Symposium, 2004. Proceedings.

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A Metadata tools system and a Data Services system are undergoing development and integration, at Sandia National Laboratories, to provide web-based access to high-performance computing clusters and its associated simulation data. These clusters host a set of scalable postprocessing applications for very large data manipulation, and the examination of results generated by high-fidelity simulations in support of the design to analysis process for ensuring safety and reliability of the nation's nuclear weapons stockpile. The primary subject of this work is the integration of Metadata tools with a Data Services Archiving capability, resulting in a service-oriented and web-based architecture, which provides end users the ability from their desktops to manage and understand simulation results for very large, complex problems.

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An architecture and implementation to support large-scale data access in scientific simulation environments

Cited by 2 publications

References 9 publications

Integrating Web service and grid enabling technologies to provide desktop access to high-performance cluster-based components for large-scale data services

Integrating Web service and grid enabling technologies to provide desktop access to high-performance cluster-based components for large-scale data services

Integrating metadata tools with the data services archive provide web-based management of large-scale scientific simulation data

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