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Conference Paper

LLview: User-level Monitoring in Computational Grids and e-Science Infrastructures

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GES_paper54.pdf
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Citation

Frings, W., & Riedel, M. (2007). LLview: User-level Monitoring in Computational Grids and e-Science Infrastructures.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-B103-7
Abstract
Large-scale scientific research often relies on the collaborative use of Grid and e-Science infrastructures that other a wide variety of Grid resources for scientists. While many production Grid projects and e-Science infrastructures have begun to other services for the usage of computational resources to end-users during the past several years, the absence of a widely accepted standard for tracing resource usage of Grid users has lead to different technologies among the infrastructures. Recently, the Open Grid Forum developed a set of emerging standard specifications, namely the Usage Record Format (URF) and the Resource Usage Service (RUS) that aim to manage and expose user tracings. In this paper, we present the integration of these standards into the UNICORE Grid middleware that lays the foundation for valuable tools in the area of accounting and monitoring. We present the development of Grid extensions for the LLview application, which allows to monitor the utilization (e.g. usage of cluster nodes per users) of Grid resources controlled by Grid middleware systems such as UNICORE.