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Edward A. MacNair

dblp:69/877 · DBLP profile ↗
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5ranked-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 · 2Computer networks · 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
Performance modeling and evaluation · 100%

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

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation
queueing models
0.011984
Queueing Network Simulations of Computer Communication · IEEE J. Sel. Areas Commun. 1984
Performance modeling and evaluation › simulation › discrete-event simulation
queueing network simulation
0.011984
Queueing Network Simulations of Computer Communication · IEEE J. Sel. Areas Commun. 1984
Performance modeling and evaluation
simulation
0.011984
Queueing Network Simulations of Computer Communication · IEEE J. Sel. Areas Commun. 1984

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

statistical analysis · 0.0discrete-event simulation · 0.0
YearPublicationVenuePosition
1998 A General Methodology for Characterizing Access Patterns and Analyzing Web Server Performance
abstract
We develop a general methodology for characterizing Web server access patterns based on a spectral analysis of finite collections of observed data from real systems. Our approach is used together with the access logs from the IBM Web site for the 1996 Olympic Games to demonstrate some of its advantages over previous methods and to analyze certain aspects of large-scale Web server performance.
Arun Iyengar, Edward A. MacNair, Mark S. Squillante, Li Zhang 0002
MASCOTS2
1998 Performance Study of a Collaborative Method for Hierarchical Caching in Proxy Servers
Philip S. Yu, Edward A. MacNair
Comput. Networks2
1995 Performance Modeling Tools
Stephen S. Lavenberg, Edward A. MacNair
Perform. Evaluation2
1984 Queueing Network Simulations of Computer Communication
abstract
Queueing networks are a powerful abstraction for modeling systems involving contention for resources, e.g., manufacturing lines and computer systems. Queueing networks are especially effective in modeling computer communication systems. Most papers concerning queueing models of communication describe analytic solution of queueing models. This paper describes simulation models based on "extended" queueing networks. The primary advantage of using a queueing network representation for simulation of a computer communication system is the high level of description, in comparison with conventional simulation programming languages. For queueing network models to be used effectively for simulation of contention systems, appropriate software is needed. The research queueing package (RESQ) is a general purpose tool for modeling contention for resources and associated system characteristics. RESQ facilitates i) appropriate abstraction of system characteristics through its definitions of extended queueing networks, ii) efficient and convenient definition and revision of models through its integrated interactive and batch model definition interface, and iii) effective experimentation with simulation models through facilities for parameterized sets of experiments, interactive running of simulations and statistical analysis of simulation results. With a tool such as RESQ, an analyst can produce results in days instead of weeks, and so an analyst can answer questions which otherwise would be left unanswered.
Charles H. Sauer, Edward A. MacNair, James F. Kurose
IEEE J. Sel. Areas Commun.2
1979 Queueing Network Software for Systems Modelling
abstract
Abstract Several requirements are placed on queueing models of computer systems. These include credibility, accuracy, timeliness and cost. Modelling software can have critical impact on all of these requirements. We survey the characteristics of major pieces of queueing software. Based on this survey we synthesize a set of design objectives for queueing software. Finally, we discuss our own queueing network software, the Research Queueing Package (RESQ), in light of these objectives.
Charles H. Sauer, Edward A. MacNair
Softw. Pract. Exp.2