Abstract: One or more techniques and/or systems are provided for data recovery objective modeling. For example, a data recovery objective model may be defined for a storage network environment. The data recovery objective model may be defined based upon a client data ingest rate corresponding to a data change rate by one or more clients of data stored by a first storage controller. The data recovery objective model may be defined based upon an effective throughput of a data transfer utility for replicating modified data from first storage of the first storage controller to second storage of a second storage controller. Statistical utilization data may be collected from the storage network environment, and may be evaluated using the data recovery objective model to determine a data recovery objective metric. If the data recovery objective metric does not satisfy a client specified objective, then a computing resource recommendation may be provided.

Abstract: One or more techniques and/or systems are provided for data recovery objective modeling. For example, a data recovery objective model may be defined for a storage network environment. The data recovery objective model may be defined based upon a client data ingest rate corresponding to a data change rate by one or more clients of data stored by a first storage controller. The data recovery objective model may be defined based upon an effective throughput of a data transfer utility for replicating modified data from first storage of the first storage controller to second storage of a second storage controller. Statistical utilization data may be collected from the storage network environment, and may be evaluated using the data recovery objective model to determine a data recovery objective metric. If the data recovery objective metric does not satisfy a client specified objective, then a computing resource recommendation may be provided.