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William Greiman

dblp:58/6518 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 61% Storage systems · 30% High-performance computing · 9%
Computer networks
1 paper
Internet architecture and protocols · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
distributed caching
0.011997
High-Speed Distributed Data Handling for On-Line Instrumentation Systems · SC 1997
Distributed systems
distributed data processing
0.011997
High-Speed Distributed Data Handling for On-Line Instrumentation Systems · SC 1997
Storage systems › storage hierarchy
tertiary storage
0.011997
High-Speed Distributed Data Handling for On-Line Instrumentation Systems · SC 1997
Internet architecture and protocols
wide area network
0.011997
High-Speed Distributed Data Handling for On-Line Instrumentation Systems · SC 1997

Methods — techniques the papers use, named apart from their topics

real-time analysis · 0.0distributed caching · 0.0data archiving · 0.0
YearPublicationVenuePosition
1997 High-Speed Distributed Data Handling for On-Line Instrumentation Systems
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.
William E. Johnston, William Greiman, Gary Hoo, Jason Lee 0001, Brian Tierney, Craig E. Tull, Doug Olson
SC2