DocumentCode
3127311
Title
Implementation of a Dynamic Fault-Tolerance Scaling Technique on a Self-Adaptive Hardware Architecture
Author
Soto, V.J. ; Moreno, Juan Manuel ; Madrenas, J. ; Cabestany, J.
Author_Institution
Dept. of Electron. Eng., Tech. Univ. of Catalunya (UPC), Barcelona, Spain
fYear
2009
fDate
9-11 Dec. 2009
Firstpage
445
Lastpage
450
Abstract
The purpose of this paper is to describe a dynamic fault tolerance scaling technique that is supported by the self-adaptive features of a hardware architecture developed within the framework of the AETHER project. The architecture is composed of an array of cells that support dynamic and distributed self-routing and self-placement of components in the system. The combination of a large array of cells together with component-level routing ultimately constitutes a SANE (self-adaptive networked entity). The dynamic fault tolerance scaling technique proposed in this paper permits a given subsystem to modify autonomously its structure in order to achieve fault detection and fault recovery. The decision to modify or not its organization is based on the actual power consumption of the system.
Keywords
computer architecture; fault tolerance; network routing; system recovery; AETHER project; component-level routing; distributed self-routing; dynamic fault-tolerance scaling; dynamic self-routing; fault detection; fault recovery; power consumption; self-adaptive hardware architecture; self-adaptive networked entity; Biological systems; Biology computing; Computer architecture; Energy consumption; Fault detection; Fault tolerance; Field programmable gate arrays; Hardware; Pervasive computing; Routing; dynamic fault tolerance; self-adaptive; self-configuration; self-placement; self-routing; selforganization;
fLanguage
English
Publisher
ieee
Conference_Titel
Reconfigurable Computing and FPGAs, 2009. ReConFig '09. International Conference on
Conference_Location
Quintana Roo
Print_ISBN
978-1-4244-5293-4
Electronic_ISBN
978-0-7695-3917-1
Type
conf
DOI
10.1109/ReConFig.2009.45
Filename
5382017
Link To Document