Treffer: Performance and dependability analysis of fault-tolerant memory mechanisms using stochastic Well-Formed Nets

Title:
Performance and dependability analysis of fault-tolerant memory mechanisms using stochastic Well-Formed Nets
Source:
Computer and information sciences (Kemer-Antalya, 27-29 October 2004)Lecture notes in computer science. :553-563
Publisher Information:
Berlin: Springer, 2004.
Publication Year:
2004
Physical Description:
print, 8 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
C.S. Dept., University of Liverpool, United Kingdom
Di.C.O., University di Milano, Italy
D.I., Università del Piemonte Orientale, Alessandria, Italy
ISSN:
0302-9743
Rights:
Copyright 2005 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:
Computer science; theoretical automation; systems
Accession Number:
edscal.16334398
Database:
PASCAL Archive

Weitere Informationen

This paper presents a performance and dependability study of a software fault-tolerant memory mechanism, namely the Distributed Memory (DM), which has been developed within a R&D European project. Relying on the UML specification (produced within the project), Stochastic Well-Formed Nets models of the DM are developed and analysed. Combinatorial methods are used in conjunction with state space based methods to study the impact of the mechanism configuration on its reliability and performance.