DocumentCode
451105
Title
High-Speed Distributed Data Handling for On-Line Instrumentation Systems
Author
Johnston, William E. ; Greiman, William ; Hoo, Gary ; Lee, Jason ; Tierney, Brian ; Tull, Craig ; Olson, Douglas
Author_Institution
Lawrence Berkeley National Laboratory
fYear
1997
fDate
15-21 Nov. 1997
Firstpage
55
Lastpage
55
Abstract
The advent (and promise) of shared, widely available, high-speed networks provides the potential for new approaches to the collection, organization, storage, and analysis of high-speed and high-volume data streams from high data-rate, on-line instruments. We have worked in this area for several years, have identified and addressed a variety of problems associated with this scenario, and have evolved an architecture, implementations, and a monitoring methodology that have been successful in addressing several different application areas. We describe a distributed, wide area network-based architecture that deals with data streams that originate from online instruments. Such instruments and imaging systems are a staple of modern scientific, health care, and intelligence environments. Our work provides an approach for reliable, distributed real-time analysis, cataloguing, and archiving of the data streams through the integration and distributed management of a high-speed distributed cache, distributed high performance applications, and tertiary storage systems.
Keywords
Cache storage; Data analysis; Data handling; High energy physics instrumentation computing; Instruments; Laboratories; Medical services; Nuclear physics; Real time systems; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Supercomputing, ACM/IEEE 1997 Conference
Print_ISBN
0-89791-985-8
Type
conf
DOI
10.1109/SC.1997.10025
Filename
1592636
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