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Availability Prediction and Modeling of High Availability OSCAR Cluster
Hong Kong December 01-December 04
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CLUSTR.2003.1253337Fifth IEEE International Conference o ...
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Chokchai Leangsuksun, Louisiana Tech University
Lixin Shen, Louisiana Tech University
Tong Liu, Louisiana Tech University
Hertong Song, Louisiana Tech University
Stephen L. Scott, Oak Ridge National Laboratory
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.
Citation:
Chokchai Leangsuksun, Lixin Shen, Tong Liu, Hertong Song, Stephen L. Scott, "Availability Prediction and Modeling of High Availability OSCAR Cluster," cluster, pp.380, Fifth IEEE International Conference on Cluster Computing (CLUSTER'03), 2003
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