Kevin G. Wika

dblp:19/4619 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1994
—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
Performance modeling and evaluation · 56% Distributed systems · 44%
Software engineering, system software, and programming languages
1 paper
Software testing · 100%

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

TopicWeightPapersLastEvidence papers
Software testing
safety-critical software testing
0.011994
Testing a Safety-Critical Application · ISSTA 1994
Distributed systems
distributed scheduling
0.011992
A Distributed Scheduling Simulation · HPDC 1992
Performance modeling and evaluation › simulation › discrete-event simulation
scheduling simulation
0.011992
A Distributed Scheduling Simulation · HPDC 1992
Performance modeling and evaluation
simulation
0.011992
A Distributed Scheduling Simulation · HPDC 1992

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

simulation · 0.0
YearPublicationVenuePosition
1994 Testing a Safety-Critical Application
abstract
No abstract available.
John C. Knight, Aaron G. Cass, Antonio M. Fernández, Kevin G. Wika
ISSTA4
1992 A Distributed Scheduling Simulation
abstract
The paper presents a distributed scheduling simulator designed for the analysis of distributed scheduling algorithms. It presents the scheduler and shows its ability to test various scheduling policies. Although preliminary test results are shown, these results are used to show the effectiveness of the scheduler, not to compare scheduling policies. Using a simulation tool named SES Workbench as its base, the simulator has the flexibility to represent multiple types of network configurations. By supporting the ability to vary both the scheduling policy being used and the network configuration, the simulator is a valuable tool for testing the feasibility of a given scheduling policy on different types of distributed systems.>
Russell F. Haddleton, Kevin G. Wika
HPDC3