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Kathy J. Richardson

dblp:85/3987 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1999
—ORCID · none

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

Systems, architecture and hardware · 2Software 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% Memory systems · 50%
Computer networks
2 papers
Network measurement and analytics · 57% Content delivery and video streaming · 26% Internet architecture and protocols · 17%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › i/o architecture › i/o subsystem
disk i/o
0.011999
Reducing the Disk I/O of Web Proxy Server Caches · USENIX ATC, General Track 1999
Memory systems › cache management › in-network caching
proxy caching
0.011999
Reducing the Disk I/O of Web Proxy Server Caches · USENIX ATC, General Track 1999
Internet architecture and protocols › world wide web
web proxy
0.011999
Reducing the Disk I/O of Web Proxy Server Caches · USENIX ATC, General Track 1999
Content delivery and video streaming › caching
cache hit ratio
0.011997
Performance Issues of Enterprise Level Web Proxies · SIGMETRICS 1997
Content delivery and video streaming › caching
web caching
0.011997
Performance Issues of Enterprise Level Web Proxies · SIGMETRICS 1997
Network measurement and analytics
workload characterization
0.011997
Performance Issues of Enterprise Level Web Proxies · SIGMETRICS 1997

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

cache management · 0.0
YearPublicationVenuePosition
1999 Reducing the Disk I/O of Web Proxy Server Caches
Carlos Maltzahn, Kathy J. Richardson, Dirk Grunwald
USENIX ATC, General Track2
1997 Performance Issues of Enterprise Level Web Proxies
abstract
Enterprise level web proxies relay world-wide web traffic between private networks and the Internet. They improve security, save network bandwidth, and reduce network latency. While the performance of web proxies has been analyzed based on synthetic workloads, little is known about their performance on real workloads. In this paper we present a study of two web proxies (CERN and Squid) executing real workloads on Digital's Palo Alto Gateway. We demonstrate that the simple CERN proxy architecture outperforms all but the latest version of Squid and continues to outperform cacheless configurations. For the measured load levels the Squid proxy used at least as many CPU, memory, and disk resources as CERN, in some configurations significantly more resources. At higher load levels the resource utilization requirements will cross and Squid will be the one using fewer resources. Lastly we found that cache hit rates of around 30% had very little effect on the requests service time.
Carlos Maltzahn, Kathy J. Richardson, Dirk Grunwald
SIGMETRICS2