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Relative Time Synchronization of Distributed Applications for Software-in-the-Loop Simulation

Authors: Sunghee Lee; Bueng Il Hwang; Kang-Bok Seo; Woo Jin Lee;

Relative Time Synchronization of Distributed Applications for Software-in-the-Loop Simulation

Abstract

As distributed systems such as automotive, medical, manufacturing automation become larger and more complex, it is difficult to test these systems. Also, the synchronization of distributed applications make the testing more difficult. In the Software-in-the-Loop (SiL) simulation, a synchronization method among clock of applications is provided for virtual hardware devices and environment. A typical synchronization technique is that a single global clock synchronizes local clocks of other sites but may make high accuracy but low performance in SiL simulation because synchronization occurs in all nodes when the global clock ticks. Also there are some issues of which node should be selected, how much time the global clock drifts when adding new sites, etc. In the paper, we propose a method of clock synchronization based on relative time to enhance the simulation performance.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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