Paper Info
Title
Self-configuring algorithm for software fault tolerance in (n,k)-way cluster systems
Abstract
Complex software-intensive applications can be built with commercially available systems for cluster systems. To improve availability of (n,k)-way cluster systems, we develop self-configuring algorithm that not only determines the number of primary and backup nodes for meeting the requirement of availability and waiting time deadline, but also uses software rejuvenation for dealing with dormant software faults. Availability modeling of (n,k)-way cluster systems with software rejuvenation has a view of fault tolerance and switchover states with a semi-Markov process. According to the operating parameters, steady-state probabilities and availability are calculated, which are used for self-configuring algorithm.
Year
Venue
Keywords
2003
ICCSA (1)
software fault tolerance,available system,dormant software fault,operating parameter,backup node,availability modeling,cluster system,software rejuvenation,self-configuring algorithm,fault tolerance,complex software-intensive application,steady state,fault tolerant
Field
DocType
Volume
Switchover,Software fault,Cluster systems,Computer science,Algorithm,Software fault tolerance,Software rejuvenation,Fault tolerance,Software,Backup,Distributed computing
Conference
2667
ISSN
ISBN
Citations 
0302-9743
3-540-40155-5
1
PageRank 
References 
Authors
0.36
9
2
Name
Order
Citations
PageRank
Changyeol Choi1104.48
Sungsoo Kim211524.95