DocumentCode
2014548
Title
Fail-Safe Data Management in Self-Healing Automotive Systems
Author
Zeller, Marc ; Grosse, Stefan ; Eilers, Dirk ; Knorr, Rudi
Author_Institution
Fraunhofer Inst. for Commun. Syst. ESK, Munich, Germany
fYear
2010
fDate
7-13 March 2010
Firstpage
24
Lastpage
29
Abstract
Software-based functions are getting more and more important in networked embedded systems, like vehicles, aircrafts or plants. Especially, safety-critical functionalities demand a high degree of dependability. Self-healing is promising approach to increase the reliability of systems. In case of an hardware fault, functions can be dynamically reallocated onto other devices, thus preventing loss of function. However, the faulty device will cause loss of data unless there is redundant data storage. In this paper we outline concepts for the data management in self-healing automotive systems which enable the recovery of software-based functionalities.
Keywords
automotive electronics; data handling; electronic engineering computing; safety-critical software; software fault tolerance; aircrafts; fail-safe data management; faulty device; hardware fault; networked embedded systems; plants; redundant data storage; safety-critical functionalities; self-healing automotive systems; software-based functions; systems reliability; vehicles; Automotive engineering; Availability; Conference management; Control systems; Driver circuits; Electric breakdown; Embedded system; Hardware; Memory; Remotely operated vehicles; automotive; data management; data storage; self-healing;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomic and Autonomous Systems (ICAS), 2010 Sixth International Conference on
Conference_Location
Cancun
Print_ISBN
978-1-4244-5915-5
Type
conf
DOI
10.1109/ICAS.2010.12
Filename
5442612
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