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Keith Muller

dblp:55/3013 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1991
—ORCID · none

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

Software 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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 87% Performance modeling and evaluation · 13%

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

TopicWeightPapersLastEvidence papers
Storage systems
disk array
0.011991
A High Performance Multi-Structured File System Design · SOSP 1991
Storage systems › file systems
file system design
0.011991
A High Performance Multi-Structured File System Design · SOSP 1991
Performance modeling and evaluation › simulation › discrete-event simulation
trace-driven simulation
0.011991
A High Performance Multi-Structured File System Design · SOSP 1991

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

trace-driven simulation · 0.0disk caching · 0.0
YearPublicationVenuePosition
1991 A High Performance Multi-Structured File System Design
abstract
File system I/O is increasingly becoming a performance bottleneck in large distributed computer systems. This is due to the increased file I/O demands of new applications, the inability of any single storage structure to respond to these demands, and the slow decline of, disk access times (latency and seek) relative to the rapid increase in CPU speeds, memory size, and network bandwidth.We present a multi-structured file system designed for high bandwidth I/O and fast response. Our design is based on combining disk caching with three different file storage structures, each implemented on an independent and isolated disk array. Each storage structure is designed to optimize a different set of file system access characteristics such as cache writes, directory searches, file attribute requests or large sequential reads/writes.As part of our study, we analyze the performance of an existing file system using trace data from UNIX disk I/O-intensive workloads. Using trace driven simulations, we show how performance is improved by using separate storage structures as implemented by a multi-structured file system.
Keith Muller, Joseph Pasquale
SOSP1