TU Darmstadt / ULB / TUbiblio

Cellular-Array Implementations of Bio-Inspired Self-Healing Systems: State of the Art and Future Perspectives

Seffrin, André ; Biedermann, Alexander (2010):
Cellular-Array Implementations of Bio-Inspired Self-Healing Systems: State of the Art and Future Perspectives.
In: Lecture Notes in Electrical Engineering, 78., In: Design Methodologies for Secure Embedded Systems, pp. 151-170,
Springer, ISBN 978-3-64-216766-9,
[Conference or Workshop Item]

Abstract

This survey aims to give an overview of bio-inspired systems which employ cellular arrays in order to achieve redundancy and self-healing capabilities. In spite of numerous publications in this particular field, only a few fundamentally different architectures exist. After a general introduction to research concerning bio-inspired systems, we describe these fundamental system types and evaluate their advantages and disadvantages. In addition, we identify areas of interest for future research.

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Seffrin, André ; Biedermann, Alexander
Title: Cellular-Array Implementations of Bio-Inspired Self-Healing Systems: State of the Art and Future Perspectives
Language: ["languages_typename_1" not defined]
Abstract:

This survey aims to give an overview of bio-inspired systems which employ cellular arrays in order to achieve redundancy and self-healing capabilities. In spite of numerous publications in this particular field, only a few fundamentally different architectures exist. After a general introduction to research concerning bio-inspired systems, we describe these fundamental system types and evaluate their advantages and disadvantages. In addition, we identify areas of interest for future research.

Title of Book: Design Methodologies for Secure Embedded Systems
Series Name: Lecture Notes in Electrical Engineering
Volume: 78.
Publisher: Springer
ISBN: 978-3-64-216766-9
Uncontrolled Keywords: Design Methodologies, Embedded Systems, Security
Divisions: 20 Department of Computer Science
Date Deposited: 31 Dec 2016 00:15
Identification Number: ISS:Seffrin:2010:CellularArra:196
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details