Concepts for self-adaptive and self-healing networked embedded systems

Beitrag in einem Sammelwerk


Details zur Publikation

Autorinnen und Autoren: Streichert T, Koch D, Haubelt C, Teich J
Herausgeber: Rolf Würtz
Titel Sammelwerk: Organic Computing
Verlag: Springer
Jahr der Veröffentlichung: 2008
Titel der Reihe: Springer Series Understanding Complex Systems
Seitenbereich: 241-260
ISBN: 9783540776567


Abstract


Networked embedded systems which operate in unattended areas with rare maintenance often make use of redundant resources for guaranteeing reliable service. In this paper, we will present novel concepts for dynamically partitioning and assigning functionality to software as well as hardware reconfigurable resources in a network. As a result, self-adaptive and self-healing systems emerge with a good tradeoff between redundancy and reliability. The proposed concepts are embedded in a three step approach, which 1.) reestablishes the functionality after a resource defect, 2.) optimizes the binding of the running tasks and 3.) creates new replicas of the tasks in the network. In this contribution, we will give an overview over all three parts, but focus on the second step. For this second step, called dynamic hardware/ software partitioning, we will present algorithms, theoretical optimality bounds for workload distributions as well as experimental results. © 2009 Springer-Verlag Berlin Heidelberg.



FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Haubelt, Christian Prof. Dr.-Ing.
Technische Fakultät
Streichert, Thilo Dr.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)
Teich, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Zitierweisen

APA:
Streichert, T., Koch, D., Haubelt, C., & Teich, J. (2008). Concepts for self-adaptive and self-healing networked embedded systems. In Rolf Würtz (Eds.), Organic Computing. (pp. 241-260). Springer.

MLA:
Streichert, Thilo, et al. "Concepts for self-adaptive and self-healing networked embedded systems." Organic Computing. Ed. Rolf Würtz, Springer, 2008. 241-260.

BibTeX: 

Zuletzt aktualisiert 2018-29-10 um 13:53