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
Link To Document :
بازگشت