Demo Data from EDBT 2026 / reviewers in the wild / expert
William Greiman
dblp:58/6518
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed systems
distributed caching |
0.0 | 1 | 1997 | High-Speed Distributed Data Handling for On-Line Instrumentation Systems · SC 1997 |
Distributed systems
distributed data processing |
0.0 | 1 | 1997 | High-Speed Distributed Data Handling for On-Line Instrumentation Systems · SC 1997 |
Storage systems › storage hierarchy
tertiary storage |
0.0 | 1 | 1997 | High-Speed Distributed Data Handling for On-Line Instrumentation Systems · SC 1997 |
Internet architecture and protocols
wide area network |
0.0 | 1 | 1997 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | High-Speed Distributed Data Handling for On-Line Instrumentation SystemsabstractThe 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 |
SC | 2 |