Abstract
As the rapid development of computer-based systems and networks, more and more applications require non-stop, highly reliable services. To achieve high service availability and reliability, traditional redundancy inside the system may not be sufficient for these applications. External redundancy and recovery strategies are critical to meet the high availability requirements, reduce failure impact and improve survivability. New network infrastructure and protocols made these redundancy structures and recovery strategies feasible. This paper presents an integrated Markov reliability and availability model to estimate and compare the downtime of the different recovery strategies. The model provides quantitative evaluations of reliability for the different architecture options. This can be further combined with other performance and capacity analysis to support architecture design and other decision making.
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