Result: A highly dependable self-adaptive mixed-signal multi-core system-on-chip architecture

Title:
A highly dependable self-adaptive mixed-signal multi-core system-on-chip architecture
Source:
Integration (Amsterdam). 48:55-71
Publisher Information:
Amsterdam: Elsevier, 2015.
Publication Year:
2015
Physical Description:
print, 29 ref
Original Material:
INIST-CNRS
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Electronic Design Methodology, Computer Science Department, Goethe University Frankfurt/Main, Germany
Embedded Systems, Computer Science Department, Goethe University Frankfurt/Main, Germany
ISSN:
0167-9260
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Electronics
Accession Number:
edscal.28891131
Database:
PASCAL Archive

Further Information

In this paper we propose a design of a dependable self-organizing and adaptive mixed-signal SoC. We introduce an Artificial Hormone System (AHS) as a general control mechanism, which addresses the goals of organic computing methodology. Regarding the coexistence of digital and analog components in SoCs, we developed two new AHS implementations, one pure analog approach and one mixed-signal approach. Besides the basics of the hormone based control mechanisms, especially for the analog domain, this paper adapts the AHS upon mixed-signal SoC and presents the evaluation of a completely simulated AHS-controlled SoC. This evaluation verifies the approaches including stability issues as well as upper timing bounds and shows the improvement achieved on the system reliability. We also state the advantages from the hormone system compared to other approaches, as well as the strong points of the different hormone systems to one another.