NDLI: Towards Adapting Non-Standard System Execution Traces for Validating Enterprise DRE System QoS Properties

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Towards Adapting Non-Standard System Execution Traces for Validating Enterprise DRE System QoS Properties

Content Provider	Semantic Scholar
Author	Nolte, Thomas Peiris, Manjula Liu, Fang Lin, Jian Cheng, Albert Hsieh, Cheng-Yi Oikawa, Shuichi Mitake, Hitoshi Kinebuchi, Yuki Courbot, Alexandre Peiris, T. Manjula Hill, James H.
Copyright Year	2010
Abstract	System execution traces are useful artifacts for validating enterprise distributed real-time and embedded (DRE) system quality-of-service (QoS) properties, such as end-to-end response time, throughput, scalability, and reliability. With proper planning during development phase of the software lifecycle, it is possible to ensure such traces contain the required properties to simply their analysis for QoS validation. In some case, however, it is hard to ensure system execution traces contain the necessary properties, such as with externally developed DRE system components. Consequently, this makes it hard to analyze such system execution traces for validation of QoS properties. This work-in-progress paper provides two contributions for analyzing system execution traces for enterprise DRE system QoS validation. First, this presents a methodology called SETAF for adapting non-standard system execution traces for analysis of QoS properties. Secondly, this paper presents preliminary results from applying SETAF to externally developed applications and analyzing its QoS properties. Initial results show that is possible to analyze non-standard system execution traces for validate QoS properties without modifying the applications existing source code. Keywords-QoS validation, non-standard system execution traces, adaptation, patterns, dataflow
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://sebox.cs.iupui.edu/PDF/rtcsa-2010-unite.pdf
Alternate Webpage(s)	http://www.es.mdh.se/pdf_publications/1919.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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