By Jens Grabowski, Steffen Herbold

ISBN-10: 3319466127

ISBN-13: 9783319466125

ISBN-10: 3319466135

ISBN-13: 9783319466132

This booklet constitutes revised papers of the lawsuits of the ninth overseas Workshop on process research and Modeling, SAM 2016, held in Saint-Melo, France, in October 2016. The 15 complete papers provided have been rigorously reviewed and chosen from 31 submissions. The contributions are prepared in topical topic named: Technology-Specific elements of versions.
The quantity displays the 5 periods of the convention. the 1st classes are heavily aligned with the convention topic with a consultation at the Internet of Things and a consultation on Technology-specific Aspects. the opposite 3 periods conceal elements concerning modeling languages and model-driven improvement quite often and have been geared up within the periods Languages, Configurations and Features, and Patterns and Compilation.

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Extra info for System Analysis and Modeling. Technology-Specific Aspects of Models : 9th International Conference, SAM 2016, Saint-Melo, France, October 3-4, 2016. Proceedings

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The latency was obtained by averaging the latency values of 1000 runs. For memory utilization we captured the maximum heap memory allocated during the runs. Result. Figure 5 presents the performance analysis of ThingML CEP Extension of the specified queries. As can be seen, the CPU utilization is around 50–60% which is medium CPU requirement. The CPU performance increases very slightly as the throughput changes from 1 to 1000, which shows that CPU requirement is not substantially affected by the occurrences of the events.

Other important IoT challenges that were also identified in [1], such as power management, co-design of hardware and software, and targeting of new IoT platforms, that relate to use of SDL and to tool support for SDL rather than to the language itself, are not addressed here but will be the subject of future work. 38 E. Sherratt 2 Signals in a Busy Network “The impact of deployment of an IoT system in contexts with numerous of other systems making use of the same communication resources causing potential delays and loss of messages is supported in SDL only to a limited degree.

In particular, we focus on both language characteristic and performance of the ThingML Extension while processing CEP queries. Experiments show that although ThingML does not outperform other well-known CEP engines, it is still a potential CEP solution for CPS which has limited physical resources. In addition, ThingML also shows its efficiency in term of language expressiveness in comparison with State Machine based CEP queries. Keywords: ThingML Modeling Language · Complex Event Processing · Language expressiveness · Processing performance · Cyber Physical System 1 Introduction Complex Event Processing (CEP) is a set of methods and techniques for tracking and analyzing real-time streams of information and detecting patterns or correlations of unrelated data (complex events) that are of interest to a particular business [21].

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System Analysis and Modeling. Technology-Specific Aspects of Models : 9th International Conference, SAM 2016, Saint-Melo, France, October 3-4, 2016. Proceedings by Jens Grabowski, Steffen Herbold


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