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M. Holding - IEEE Xplore Author Profile

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The spallation neutron production target at the SNS facility is designed for 1.4 MW beam power. Both beam position and profile must be carefully controlled within narrow margins to avoid damage to the target. The position must be within 2 mm of the target center, and 90% of the beam must be within the nominal 70 mm × 200 mm spot size, without exceeding 0.18 A/m2peak beam current density. This is a...Show More
The SNS facility is designed for a 1.4MW 1.0GeV proton beam and the interface region of this beam with the Hg spallation target will be highly activated. This installation is located about fifteen feet below the access floor Fig. 1 and the activity levels in the RTBT/Target interface are sufficiently high to warrant the application of Remote Handling (RH) techniques. The installed components are m...Show More
Diagnosis and debugging of performance problems on complex distributed systems requires end-to-end performance information at both the application and system level. We describe a methodology, called NetLogger, that enables real-time diagnosis of performance problems in such systems. The methodology includes tools for generating precision event logs, an interface to a system event-monitoring framew...Show More
Large distributed systems, such as computational grids, require a large amount of monitoring data be collected for a variety of tasks, such as fault detection, performance analysis, performance tuning, performance prediction and scheduling. Ensuring that all necessary monitoring is turned on and that the data is being collected can be a very tedious and error-prone task. We have developed an agent...Show More
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data at multiple sites around the world. The technologies, the middleware services, and the architectures that are used to build useful high-speed, wide area distributed systems, constitute the field of data intensive computing. We describe an architecture for data intensive applications where we...Show More