scholarly journals A Design-Time/Run-Time Application Mapping Methodology for Predictable Execution Time in MPSoCs

2018 ◽  
Vol 17 (5) ◽  
pp. 1-25 ◽  
Author(s):  
Andreas Weichslgartner ◽  
Stefan Wildermann ◽  
Deepak Gangadharan ◽  
Michael Glaß ◽  
Jürgen Teich
2007 ◽  
Vol 1 (2) ◽  
pp. 120 ◽  
Author(s):  
Ch. Ykman-Couvreur ◽  
V. Nollet ◽  
Th. Marescaux ◽  
E. Brockmeyer ◽  
Fr. Catthoor ◽  
...  

Sensors ◽  
2016 ◽  
Vol 16 (9) ◽  
pp. 1386 ◽  
Author(s):  
Qi Liu ◽  
Weidong Cai ◽  
Dandan Jin ◽  
Jian Shen ◽  
Zhangjie Fu ◽  
...  

Author(s):  
Andreas Weichslgartner ◽  
Stefan Wildermann ◽  
Johannes Götzfried ◽  
Felix Freiling ◽  
Michael Glaß ◽  
...  
Keyword(s):  

2011 ◽  
Vol 5 (2) ◽  
pp. 123 ◽  
Author(s):  
C. Ykman-Couvreur ◽  
P. Avasare ◽  
G. Mariani ◽  
G. Palermo ◽  
C. Silvano ◽  
...  

2014 ◽  
Vol 13 (1) ◽  
pp. 4053-4057
Author(s):  
Gurvinder Kaur ◽  
Dr. S.N. Panda ◽  
Dr. Dalvinder Singh Dhaliwal

Firewall is a device that secure the private network from unauthorized access. Model based  tool assistance  facilitate the design task and has contribute to the correctness of the filters. But the model based tool assistance approach is design time only does not manage actions at run time. So we shall propose model on run time auditing architecture to detect the attack while packet filtering in firewall technology. It is usually based on the log-files of the packet-filters.


Author(s):  
Robert Andrei Buchmann ◽  
Dimitris Karagiannis

Conceptual modeling is commonly employed for two classes of goals: (1) as input for run-time functionality (e.g., code generation) and (2) as support for design-time analysis (e.g., in business process management). An inherent trade-off manifests between such goals, as different levels of abstraction and semantic detail is needed. This has led to a multitude of modeling languages that are conceptually redundant (i.e., they share significant parts of their metamodels) and a dilemma of selecting the most adequate language for each goal. This article advocates the substitution of the selection dilemma with an approach where the modeling method is agilely tailored for the semantic variability required to cover both run-time and design-time concerns. The semantic space enabled by such a method is exposed to model-driven systems as RDF knowledge graphs, whereas the method evolution is managed with the Agile Modeling Method Engineering framework. The argument is grounded in the application area of Product-Service Systems, illustrated by a project-based modeling method.


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