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Gary E. Herman

dblp:02/526 · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 1995
—ORCID · none

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

Systems, architecture and hardware · 2Computer networks · 1Databases, data management, data science and information retrieval · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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.

Databases, data mining, and information retrieval
2 papers
Query processing and optimization · 72% Database system architecture and tuning · 28%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Parallel and multicore computing · 100%
Computer networks
2 papers
Network management and operations · 90% Optical networks · 10%

Topics — the 7 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization
parallel query processing
0.011989
Protocol verification using database technology · IEEE J. Sel. Areas Commun. 1989
Query processing and optimization › query execution
relational operators
0.011989
Protocol verification using database technology · IEEE J. Sel. Areas Commun. 1989
Network management and operations
protocol verification
0.011989
Protocol verification using database technology · IEEE J. Sel. Areas Commun. 1989
Network management and operations
state space exploration
0.011989
Protocol verification using database technology · IEEE J. Sel. Areas Commun. 1989
Parallel and multicore computing › multiprocessor system › distributed-memory multiprocessor
hypercube multiprocessor
0.011989
Protocol verification using database technology · IEEE J. Sel. Areas Commun. 1989
Parallel and multicore computing › parallel query processing
parallel database machine
0.011989
Protocol verification using database technology · IEEE J. Sel. Areas Commun. 1989
Parallel and multicore computing › parallel computing › parallel database systems
multiprocessor database systems
0.011987
The Datacycle Architecture for Very High Throughput Database Systems · SIGMOD Conference 1987

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

relational model · 0.0parallel database algorithms · 0.0optical bandwidth exploitation · 0.0multiprocessor architecture · 0.0
YearPublicationVenuePosition
1995 Broadband Data Services to the Home (Panel Abstract)
Gita Gopal, Gary E. Herman
ACM Multimedia2
1991 A rapid turnaround design of a high speed VLSI search processor
Takako M. Hickey, Kuo Chi Lee, Gary E. Herman, William H. Mansfield
Integr.3
1989 Protocol verification using database technology
abstract
A novel application of databases in communications networks, namely, protocol verification on a parallel database machine, is described. An approach to protocol verification that uses database algorithms executing on a commercially available, parallel architecture called a hypercube multicomputer is introduced. The goal is to achieve the high degree of computational parallelism necessary to explore rapidly the global state space of even very complex protocols, significantly reducing the time required to verify a protocol and allowing formal verification to be included as part of the process of protocol design. An overview is provided of the relational model of protocol verification used, and extensions to the model are described. The hypercube multicomputer and the algorithms for relational database operations designed to execute in that environment are then described. Estimates of the performance improvements achievable by parallel executing of verification algorithms in the proposed system are given.>
Ophir Frieder, Gary E. Herman
IEEE J. Sel. Areas Commun.2
1987 Broadcast Database Systems
M. Lai, Kuo Chi Lee, Gary E. Herman
ICDCS3
1987 The Datacycle Architecture for Very High Throughput Database Systems
abstract
The evolutionary trend toward a database-driven public communications network has motivated research into database architectures capable of executing thousands of transactions per second. In this paper we introduce the Datacycle architecture, an attempt to exploit the enormous transmission bandwidth of optical systems to permit the implementation of high throughput multiprocessor database systems. The architecture has the potential for unlimited query throughput, simplified data management, rapid execution of complex queries, and efficient concurrency control. We describe the logical operation of the architecture and discuss implementation issues in the context of a prototype system currently under construction.
Gary E. Herman, Gita Gopal, Kuo Chi Lee, Abel Weinrib
SIGMOD Conference1