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Title
Modeling Towards Incremental Early Analyzability of Networked Avionics Systems Using Virtual Integration
Issued Date
2012
Citation
Nam, Min-Young. (2012). Modeling Towards Incremental Early Analyzability of Networked Avionics Systems Using Virtual Integration. ACM Transactions on Embedded Computing Systems, 11(4). doi: 10.1145/2362336.2362348
Type
Article
Author Keywords
DesignAADLavionics system designend-to-end delay analysismodelingswitching algorithmvirtual integration
Keywords
AADLAlgorithmsArchitectural DesignAvionicsAvionics System DesignAvionics SystemsDELAYDESIGNEnd-To-End Delay AnalysisEnd to End DelayHardwareModelingMODELSREAL-TIME COMMUNICATIONSWITCHESSwitching AlgorithmSwitching AlgorithmsSystems AnalysisVirtual Integration
ISSN
1539-9087
Abstract

With the advance of hardware technology, more features are incrementally added to already existing networked systems. Avionics has a stronger tendency to use preexisting applications due to its complexity and scale. As resource sharing becomes intense among the network and the computing modules, it has become a difficult task for the system designer to make confident architectural decisions even for incremental changes. Providing a tailored environment to model and analyze incremental changes requires a combination of software tools and hardware support.We have built a virtual integration tool called ASIIST which can provide a worst-case end-to-end latency of data that is sent through a network and the internal bus architecture of the end-systems. Also, we have devised a new real-time switching algorithm which guarantees the worst-case network delay of preexisting network traffic under feasible conditions. With the real-time switch support, ASIIST can provide an early modularized analysis of the end-to-end latency to make architectural design choices and incremental changes easier for the user. © 2012 ACM.

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URI
http://hdl.handle.net/20.500.11750/56394
DOI
10.1145/2362336.2362348
Publisher
Association for Computing Machinery
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박경준
Park, Kyung-Joon박경준

Department of Electrical Engineering and Computer Science

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