Effective distribution of object-oriented applications
Communications of the ACM
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Automated Deployment of Distributed Software Components with Fault Tolerance Guarantees
SERA '08 Proceedings of the 2008 Sixth International Conference on Software Engineering Research, Management and Applications
Vertical safety interfaces: improving the efficiency of modular certification
SAFECOMP'11 Proceedings of the 30th international conference on Computer safety, reliability, and security
Fault-Tolerant Distributed Deployment of Embedded Control Software
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Open Integrated Architectures like AUTOSAR or IMA enable a flexible deployment, which can potentially help to reduce the number of computer platforms in a distributed embedded system, and therefore reduce weight, energy consumption and costs. Finding a beneficial deployment is, however, a complicated, multi-criteria optimization problem. One criterion that requires exceptionally careful examination is safety, since an adverse deployment can compromise system safety and inflict significant costs. In this paper we present a technique that assists the developer in optimizing a deployment from the safety perspective. The technique consists of two metrics to evaluate the safety-related costs of a deployment that have been tested and evaluated in an industrial context using a genetic algorithm. System developers can use these metrics to evaluate and optimize a specific deployment with respect to safety.