DocumentCode :
2405886
Title :
Availability prediction and modeling of high mobility OSCAR cluster
Author :
Leangsuksun, Chokchai ; Shen, Lixin ; Liu, Tong ; Song, Hertong ; Scott, Stephen L.
Author_Institution :
Dept. of Comput. Sci., Louisiana Tech Univ., Rushton, LA, USA
fYear :
2003
fDate :
1-4 Dec. 2003
Firstpage :
380
Lastpage :
386
Abstract :
Since the initial introduction of open source cluster application resources (OSCAR), this software package has been a well-accepted choice for building high performance computing systems. As it continues to be applied to mission-critical environments, high availability (HA) features therefore are needed to be included in OSCAR cluster. In this paper, we provide a HA solution for OSCAR cluster. As a widely used technique in HA solutions, component redundancy is adopted to improve the system availability. Based on the proposed architecture, we develop a detailed failure-repair model for predicting the availability of HA OSCAR cluster. stochastic reward nets (SRN) are used to model the behavior of the system. We specify our SRN model to stochastic Petri net package, describe and compute several interesting output measures that characterize availability features of HA OSCAR cluster.
Keywords :
Petri nets; client-server systems; computer network reliability; public domain software; safety-critical software; software architecture; software packages; stochastic processes; workstation clusters; Open Source Cluster Application Resources; availability modeling; availability prediction; component redundancy; failure-repair model; high availability OSCAR cluster; mission-critical environments; software package; stochastic Petri net package; stochastic reward nets; Application software; Availability; Client-server systems; Computer architecture; Computer network reliability; High performance computing; Mission critical systems; Packaging; Petri nets; Predictive models; Software packages; Software safety; Stochastic processes; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN :
0-7695-2066-9
Type :
conf
DOI :
10.1109/CLUSTR.2003.1253337
Filename :
1253337
Link To Document :
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