Simple Sizing Model

This section describes a simple sizing model that can be used to analyze and plan a backup and restore architecture. Many variables in a backup and restore architecture can affect the performance of the system, for example, the size of the current dataset, instantaneous network bandwidth, and resource contention. Modelling these can be difficult and is likely to prove inaccurate since many assumptions would have to be made about changing conditions. Backup and restore architecture can also be tested empirically. However, empirical tests can be time consuming and costly when you are setting up hardware and software. What is needed is a simple sizing model that can show the theoretical, nominal, and pragmatic limits of the ...

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