Abstract:
Methods and apparatuses for performing selective deduplication in a storage system are introduced here. Techniques are provided for determining a probability of deduplication for a data object based on a characteristic of the data object and performing a deduplication operation on the data object in the storage system prior to the data object being stored in persistent storage of the storage system if the probability of deduplication for the data object has a specified relationship to a specified threshold.
Abstract:
A method, non-transitory computer readable medium, and provisioning advisor device that obtains an intensity and characteristics for each of a plurality of training workloads from storage device volumes. For each of the training workloads, at least first and second training workload parameters are generated, based on the training workload intensity, and an associated training workload signature is generated, based on the training workload characteristics. The first and second training workload parameters and associated training workload signatures are stored in a mapping table. A signature and an intensity for a query workload are obtained. First and second query workload parameters are determined based on a correlation of the query workload signature with the training workload signatures of the mapping table. An estimated latency for the query workload is determined, based on the first and second query workload parameters and the query workload intensity, and the estimated query workload latency is output.
Abstract:
Technology is disclosed for graphically representing classification of workloads in a storage system. Workload classification is graphically represented to the user by mapping workload signatures of the workloads to a grid. When the workload signatures are mapped to the grid, a number of clusters are formed in the grid. Each of the clusters represents workloads of a particular category. Mapping the workload signature to the grid includes mapping a high-dimensionality workload signature vector to a low-dimensionality grid.
Abstract:
Methods and apparatuses for performing selective deduplication in a storage system are introduced here. Techniques are provided for determining a probability of deduplication for a data object based on a characteristic of the data object and performing a deduplication operation on the data object in the storage system prior to the data object being stored in persistent storage of the storage system if the probability of deduplication for the data object has a specified relationship to a specified threshold.