Making Time-and Occasion driven Disseminated Ongoing Frameworks.


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Creating Time-and Occasion driven Disseminated Continuous Frameworks Gabor Madl ( gabe@ics.uci.edu ), Ph.D. Hopeful, UC Irvine Consultant: Nikil Dutt ( dutt@ics.uci.edu ) Chancellor's Educator, UC Irvine Pietr Mondrian, Creation No. 10, 1939-42 Hans Hofmann, The Entryway, 1959-60
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Creating Time-and Event-driven Distributed Real-time Systems Gabor Madl ( gabe@ics.uci.edu ), Ph.D. Hopeful, UC Irvine Advisor: Nikil Dutt ( dutt@ics.uci.edu ) Chancellor’s Professor, UC Irvine Cyber-Physical System Challenges in the Automotive Domain, RTSS 2007

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Pietr Mondrian, Composition No. 10, 1939-42 Hans Hofmann, The Gate, 1959-60 Kazimir Malevich, Black Square, 1915 Challenges Traditional Design Compose Functionalities Combine Analysis Model-based Analysis Challenges in NGAS How to securely build usefulness? Essential concern is security (in any event it ought to be) Secondary concern is expense (?) Increase usefulness while imperatives above are saved How might a painter work under these conditions?

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Challenges Traditional Design Compose Functionalities Combine Analysis Model-based Analysis Separate Functionalities Dedicated equipment for every usefulness “Protect” parts from one another Design them freely Are we certain that there is no association in the middle of basic and non-discriminating functionalities? Spillage force: channels power notwithstanding when the auto is unmoving Energy utilization: could turn into a bottleneck How will basic functionalities perform in an asset obliged environment? Imperfect usage More segments are required Limited connection with nature

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Challenges Traditional Design Compose Functionalities Combine Analysis Model-based Analysis Rethink Design of NGAS We have to utilize more adaptable outline approachs than the present practice We have to figure out how to better use the capability of disseminated constant inserted (DRE) frameworks More and more sensors and actuators More association in the middle of segments and their surroundings We have to expand on the qualities of existing configuration philosophies, additionally energize cooperation Cars could utilize data from the earth (i.e. climate data, GPS, different autos) to get ready for unexpected circumstances, for example, haze, solidifying, mischances ahead and so on. Non-discriminating usefulness could be utilized as “backup” to build adaptation to internal failure

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Challenges Traditional Design Compose Functionalities Combine Analysis Model-based Analysis Compose Functionalies Critical functionalities Time-activated frameworks Focus on control (planning) Execution times, periods, due dates, needs, and so forth. Scientific model for examination (planning hypothesis) Simple investigation, immoderate execution Non-basic functionalities Event-driven frameworks Focus on the stream of information Throughput, correspondence building design, parallelization, and so forth. Complex model, hard to foresee all practices Simple execution, unreasonable investigation

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Challenges Traditional Design Compose Functionalities Combine Analysis Model-based Analysis Need to Combine Analysis Methods Static examination systems Often excessively unique, bringing about moderate/off base results Cannot catch element impacts Simulations Can demonstrate the vicinity of a mistake, never its nonappearance Ad-hoc, difficult to gauge scope Limited configuration space investigation Model checking State space blast issue No halfway results Time devouring and immoderate Each technique has its leeway and drawback

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Challenges Traditional Design Compose Functionalities Combine Analysis Model-based Analysis Model-based Design & Analysis Model-based outline gives the way to the early investigation of configuration choices The outline stream is driven by the DSM, an abnormal state particular that catches key properties Mappings assume a key part in reflection Formal models drive useful confirmation We propose the mix of reenactments and formal routines for the assessment of plans

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Questions? Connections to applicable work: http://dre.sourceforge.net http://alderis.ics.uci.edu http://www.ics.uci.edu/~gabe Cyber-Physical System Challenges in the Automotive Domain, RTSS 2007 .:tslidesep.

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