This work presents a novel holistic framework for Distributed Integrated Modular Avionics (DIMA) architec-
ture design and optimization. IMA is a standardization of avionics components. IMA is beneficial in weight
and costs if the complexity of sizing, function allocation, and topology selection is mastered. A holistic
framework enables model and algorithm-aided design of avionics architectures. Domain specific modeling of
systems software, hardware, and aircraft anatomy enables automated verification and early evaluation of
architectures. Moreover, the model is the foundation for a flexible kit of eight optimization routines. For de-
sign issues in which humans likely lose the overview optimization routines are proposed. Automation ranges
from function mapping over routing to a complete architecture generation. Routines for platform selection,
network, and topology optimization are unique and unrivaled today. All optimization problems are solved
globally optimal and a multi-objective solving algorithm calculates the best trade-off architectures for contra-
dicting objectives, the Pareto optimum. All optimization routines are extensively tested by designing the op-
timal DIMA architecture for aircraft system functions in an A320-like scenario. Results show significant opti-
mization potential of generated architectures compared to a manually designed one. The resulting architec-
tures are analyzed and compared in performance and structure in detail.
%0 Book
%1 annighoefer2014d
%A Annighöfer, Björn
%A Thielecke, Frank
%B Deutscher Luft- und Raumfahrtkongress, Augsburg 16. - 18. Sept. 2014
%C Augsburg
%D 2014
%K imported myown nonils
%T A Systems Architecting Framework for Distributed Integrated Modular Avionics
%U http://publikationen.dglr.de/?tx_dglrpublications_pi1document_id=281221
%X This work presents a novel holistic framework for Distributed Integrated Modular Avionics (DIMA) architec-
ture design and optimization. IMA is a standardization of avionics components. IMA is beneficial in weight
and costs if the complexity of sizing, function allocation, and topology selection is mastered. A holistic
framework enables model and algorithm-aided design of avionics architectures. Domain specific modeling of
systems software, hardware, and aircraft anatomy enables automated verification and early evaluation of
architectures. Moreover, the model is the foundation for a flexible kit of eight optimization routines. For de-
sign issues in which humans likely lose the overview optimization routines are proposed. Automation ranges
from function mapping over routing to a complete architecture generation. Routines for platform selection,
network, and topology optimization are unique and unrivaled today. All optimization problems are solved
globally optimal and a multi-objective solving algorithm calculates the best trade-off architectures for contra-
dicting objectives, the Pareto optimum. All optimization routines are extensively tested by designing the op-
timal DIMA architecture for aircraft system functions in an A320-like scenario. Results show significant opti-
mization potential of generated architectures compared to a manually designed one. The resulting architec-
tures are analyzed and compared in performance and structure in detail.
@book{annighoefer2014d,
abstract = {This work presents a novel holistic framework for Distributed Integrated Modular Avionics (DIMA) architec-
ture design and optimization. IMA is a standardization of avionics components. IMA is beneficial in weight
and costs if the complexity of sizing, function allocation, and topology selection is mastered. A holistic
framework enables model and algorithm-aided design of avionics architectures. Domain specific modeling of
systems software, hardware, and aircraft anatomy enables automated verification and early evaluation of
architectures. Moreover, the model is the foundation for a flexible kit of eight optimization routines. For de-
sign issues in which humans likely lose the overview optimization routines are proposed. Automation ranges
from function mapping over routing to a complete architecture generation. Routines for platform selection,
network, and topology optimization are unique and unrivaled today. All optimization problems are solved
globally optimal and a multi-objective solving algorithm calculates the best trade-off architectures for contra-
dicting objectives, the Pareto optimum. All optimization routines are extensively tested by designing the op-
timal DIMA architecture for aircraft system functions in an A320-like scenario. Results show significant opti-
mization potential of generated architectures compared to a manually designed one. The resulting architec-
tures are analyzed and compared in performance and structure in detail.},
added-at = {2017-03-24T09:40:30.000+0100},
address = {Augsburg},
author = {Annighöfer, Björn and Thielecke, Frank},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2e5f23a8d461e1f352dc91089674e3807/annighoefer},
booktitle = {Deutscher Luft- und Raumfahrtkongress, Augsburg 16. - 18. Sept. 2014},
file = {:Annighoefer - A Systems Architecting Framework for Distributed Integrated Modular Avionics.pdf:PDF},
groups = {Avionics Optimization},
interhash = {95c244e40b14f6d520b9524f12b06512},
intrahash = {e5f23a8d461e1f352dc91089674e3807},
keywords = {imported myown nonils},
month = {September},
organization = {Deutsche Gesellschaft für Luft- und Raumfahrt},
owner = {Björn},
timestamp = {2020-01-27T08:53:45.000+0100},
title = {A Systems Architecting Framework for Distributed Integrated Modular Avionics},
url = {http://publikationen.dglr.de/?tx_dglrpublications_pi1[document_id]=281221},
year = 2014
}