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Susanne Englert

dblp:58/5099 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 1994
—ORCID · none

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

Databases, data management, data science and information retrieval · 2 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-author

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
Database system architecture and tuning · 84% Query processing and optimization · 16%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Performance modeling and evaluation · 68% Parallel and multicore computing · 32%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
benchmarking		 0.011994
Quickly Generating Billion-Record Synthetic Databases · SIGMOD Conference 1994
Parallel and multicore computing › parallel computing
parallel database systems		 0.021994
Quickly Generating Billion-Record Synthetic Databases · SIGMOD Conference 1994
A Benchmark of NonStop SQL Release 2 Demonstrating Near-Linear Speedup and Scaleup on Large Databases · SIGMETRICS 1990
Query processing and optimization › analytical query processing
decision support queries		 0.011994
NonStop SQL: Scalability and Availability for Decision Support · SIGMOD Conference 1994

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

benchmarking · 0.0self-similar distribution · 0.0discrete logarithm · 0.0congruential generator · 0.0
YearPublicationVenuePosition
1994 NonStop SQL: Scalability and Availability for Decision Support
abstract
No abstract available.
Susanne Englert
 SIGMOD Conference1
1994 Quickly Generating Billion-Record Synthetic Databases
abstract
Evaluating database system performance often requires generating synthetic databases—ones having certain statistical properties but filled with dummy information. When evaluating different database designs, it is often necessary to generate several databases and evaluate each design. As database sizes grow to terabytes, generation often takes longer than evaluation. This paper presents several database generation techniques. In particular it discusses: (1) Parallelism to get generation speedup and scaleup. (2) Congruential generators to get dense unique uniform distributions. (3) Special-case discrete logarithms to generate indices concurrent to the base table generation. (4) Modification of (2) to get exponential, normal, and self-similar distributions.
Jim Gray 0001, Prakash Sundaresan, Susanne Englert, Kenneth Baclawski, Peter J. Weinberger
 SIGMOD Conference3
1990 A Benchmark of NonStop SQL Release 2 Demonstrating Near-Linear Speedup and Scaleup on Large Databases
abstract
No abstract available.
Susanne Englert, Jim Gray 0001, Terrye Kocher, Praful Shah
 SIGMETRICS1