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Timothy J. Gibson

dblp:27/6737 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none

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

Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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
Storage systems · 50% Performance modeling and evaluation · 50%

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

TopicWeightPapersLastEvidence papers
Storage systems
file systems
0.011998
Self-Similarity in File Systems · SIGMETRICS 1998
Storage systems › file systems
file system workload
0.011998
Self-Similarity in File Systems · SIGMETRICS 1998
Performance modeling and evaluation › workload characterization
self-similar traffic
0.011998
Self-Similarity in File Systems · SIGMETRICS 1998
Performance modeling and evaluation
workload characterization
0.011998
Self-Similarity in File Systems · SIGMETRICS 1998

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

trace analysis · 0.0hurst parameter estimation · 0.0ON/OFF source model · 0.0
YearPublicationVenuePosition
1998 Self-Similarity in File Systems
abstract
We demonstrate that high-level file system events exhibit self-similar behaviour, but only for short-term time scales of approximately under a day. We do so through the analysis of four sets of traces that span time scales of milliseconds through months, and that differ in the trace collection method, the filesystems being traced, and the chronological times of the tracing. Two sets of detailed, short-term file system trace data are analyzed; both are shown to have self-similar like behaviour, with consistent Hurst parameters (a measure of self-similarity) for all file system traffic as well as individual classes of file system events. Long-term file system trace data is then analyzed, and we discover that the traces' high variability and self-similar behaviour does not persist across time scales of days, weeks, and months. Using the short-term trace data, we show that sources of file system traffic exhibit ON/OFF source behaviour, which is characterized by highly variably lengthed bursts of activity, followed by similarly variably lengthed periods of inactivity. This ON/OFF behaviour is used to motivate a simple technique for synthesizing a stream of events that exhibit the same self-similar short-term behaviour as was observed in the file system traces.
Steve D. Gribble, Gurmeet Singh Manku, Drew S. Roselli, Eric A. Brewer, Timothy J. Gibson, Ethan L. Miller
SIGMETRICS5