Title :
Applying artificial immune systems to real-time embedded systems
Author :
Lay, Nicholas ; Bate, Iain
Author_Institution :
Univ. of York, York
Abstract :
Real-time systems are becoming more complex at the same time as the expectation of adaptability and dependability rises. Traditional methods for ensuring no faults in the design or identifying their source are labour intensive and overly restrictive. In this paper we explore how concepts of AIS can be applied to RTS to aid their design and maintenance. Contributions are made to both the AIS and RTS communities.
Keywords :
artificial immune systems; embedded systems; program diagnostics; safety-critical software; software maintenance; RTS design; RTS maintenance; anomaly detection; artificial immune systems; deadline overruns; dendrite cells; real-time embedded systems; Artificial immune systems; Embedded system; Evolutionary computation; Real time systems;
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
DOI :
10.1109/CEC.2007.4424958
