Performance and reliability analysis of computer systems: an example-based approach using the SHARPE software package
Availability Analysis of Repairable Computer Systems and Stationarity Detection
IEEE Transactions on Computers
Improving cluster availability using workstation validation
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Dependability Measurement and Modeling of a Multicomputer System
IEEE Transactions on Computers
A World-Wide Web server on a multicomputer system
ISPAN '96 Proceedings of the 1996 International Symposium on Parallel Architectures, Algorithms and Networks
Performance and Availability Evaluation of NUMA Architectures
IPDS '96 Proceedings of the 2nd International Computer Performance and Dependability Symposium (IPDS '96)
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
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Multicomputers are distributed memory systems in which independent computers are connected with each other by a network. Multicomputers are widely used in business and scientific applications. Due to their flexibility, scalability, and cost performance, multicomputer systems are considered preferable to multiprocessor systems. They are also gaining attraction in the area of Internet-based computing, in which delays or interruptions in client-server interactions may be equally costly to service providers and customers. Multicomputer systems attributed with high available (HA) solutions may be used to withstand service unavailability due to the web servers' failures. In this paper we investigate a Markov model-based approach to estimate the availability of multicomputer systems with and without HA. The availability is computed as a function of server failure rate and the number of surviving servers. This model can estimate the number of nodes needed for a required availability measure.