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Carolyn Turbyfill

dblp:68/5489 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none

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

Databases, data management, data science and information retrieval · 2

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
1 paper
Query processing and optimization · 72% Database system architecture and tuning · 28%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

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

TopicWeightPapersLastEvidence papers
Query processing and optimization
complex query processing
0.011987
Performance of Complex Queries in Main Memory Database Systems · ICDE 1987
Query processing and optimization › query execution
in-memory query processing
0.011987
Performance of Complex Queries in Main Memory Database Systems · ICDE 1987
Database system architecture and tuning
main-memory database
0.011987
Performance of Complex Queries in Main Memory Database Systems · ICDE 1987
Performance modeling and evaluation
benchmarking
0.011983
Benchmarking Database Systems A Systematic Approach · VLDB 1983
Performance modeling and evaluation › benchmarking
database system benchmarking
0.011983
Benchmarking Database Systems A Systematic Approach · VLDB 1983
Query processing and optimization › aggregate query processing
join-aggregate query
0.011987
Performance of Complex Queries in Main Memory Database Systems · ICDE 1987
Query processing and optimization
join processing
0.011987
Performance of Complex Queries in Main Memory Database Systems · ICDE 1987

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

benchmarking · 0.0
YearPublicationVenuePosition
1987 Performance of Complex Queries in Main Memory Database Systems
abstract
Memory residence can buy both functionality and performance for a database management system. In this paper, we present a description and a benchmark of an experimental implementation of a Main Memory Database System (MMDBS) that was designed to support complex interactive queries. We describe and evaluate the main memory database structures and query processing algorithms implemented in this prototype. Our measurements and analysis, focused on aggregates and joins, include both memory requirements and response time, since there is a clear trade-off between space and time in the design of a MMDBS. In contrast to conventional Disk-based Database Systems (DDBS's), we found that an MMDBS can efficiently execute complex relational queries. We identify strategies that exploit memory residence effectively. We also identified a number of performance problems related to query optimization in main memory and memory management for MMDBS's.
Dina Bitton, Maria Hanrahan, Carolyn Turbyfill
ICDE3
1983 Benchmarking Database Systems A Systematic Approach
Dina Bitton, David J. DeWitt, Carolyn Turbyfill
VLDB3