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Walter Olds

dblp:26/1110 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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
Embedded and real-time systems · 61% Distributed systems · 30% Performance modeling and evaluation · 9%

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

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
cyber-physical system platforms
0.112007
Integrating Virtual Execution Platform for Accurate Analysis in Distributed Real-Time Control System Development · RTSS 2007
Embedded and real-time systems › real-time control
real-time distributed control
0.112007
Integrating Virtual Execution Platform for Accurate Analysis in Distributed Real-Time Control System Development · RTSS 2007
Distributed systems › middleware
virtual execution environment
0.112007
Integrating Virtual Execution Platform for Accurate Analysis in Distributed Real-Time Control System Development · RTSS 2007
Performance modeling and evaluation
simulation
0.012007
Integrating Virtual Execution Platform for Accurate Analysis in Distributed Real-Time Control System Development · RTSS 2007

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

virtual execution platform · 0.1discrete-event simulation · 0.1
YearPublicationVenuePosition
2007 Integrating Virtual Execution Platform for Accurate Analysis in Distributed Real-Time Control System Development
abstract
A distributed real-time control system is modeled by au- tomatically generating a virtual execution platform and in- tegrating it with an abstract run-time model. This allows us to capture the dynamic effects of non-deterministic behavior of the underlying hardware and real-time operating system (RTOS), which cannot be accurately evaluated by existing static approaches. Our framework has been implemented and integrated with the existing AIRES toolkit. The con- struction of a virtual execution platform for a control appli- cation is observed to take 422ms. The integrated platform and control application consists of 56 software components connected by 1280 links for data exchanges and precedence relations, and the constructed platform executes the appli- cation at a normalized speed--defined as the ratio of simu- lation time to real time -- 10.6. Our preliminary evaluation has demonstrated the virtual execution platform's capabil- ity of providing accurate run-time information at a reason- able time-cost.
Sangsoo Park, Walter Olds, Kang G. Shin, Shige Wang
RTSS2