High-speed distributed data handling for on-line instrumentation systems

  • Authors:
  • William E. Johnston;William Greiman;Gary Hoo;Jason Lee;Brian Tierney;Craig Tull;Douglas Olson

  • Affiliations:
  • Ernest Orlando Lawrence Berkeley National Laboratory;Ernest Orlando Lawrence Berkeley National Laboratory;Ernest Orlando Lawrence Berkeley National Laboratory;Ernest Orlando Lawrence Berkeley National Laboratory;Ernest Orlando Lawrence Berkeley National Laboratory;Ernest Orlando Lawrence Berkeley National Laboratory;Ernest Orlando Lawrence Berkeley National Laboratory

  • Venue:
  • SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
  • Year:
  • 1997

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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.In this paper we describe a distributed, wide area network-based architecture that deals with data streams that originate from on-line 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.