Abstract: Techniques are disclosed for use in determining response times of data storage systems. In one embodiment, there is disclosed a method. The method comprises defining a data storage system being designed. The method also comprises defining a first workload for the data storage system. The first workload including a first IOPS (input-output operations per second) requirement and respective percentages of read and write IO (input-output) requests. The method also comprises applying the first workload to the data storage system, thus defining a IO request queue length.

Abstract: Techniques for configuring multi-tier data storage systems provide a model of skewed workload distributions in such systems and configure them by applying a received input skew value representing a prediction of system skew and the model. The technique applies the input skew value to generate a desired proportion of total system IOPS to be handled by each storage tier in the system and applies the model to convert the IOPS percentage for each storage tier into a corresponding capacity percentage. The technique then generates actual capacity for each tier by applying the percent capacity for each tier to a design target for total storage capacity in the system. Advantageously, these techniques generate storage tier configurations that are likely to be neither overdesigned nor underdesigned, and are thus likely to meet both performance requirements and cost targets.

Abstract: Techniques for configuring a new data storage system generate IOPS distribution models from activity data of an existing data storage system and use the IOPS distribution models to generate a storage configuration for the new data storage system. Such techniques assign LUNs of the existing storage system to groups based on their input-out (I/O) characteristics and provide a storage configuration tailored to the expected IOPS distributions of each group of LUNs based on the IOPS distribution models and the activity data.

Abstract: A public-private computing system includes: a public computing portion accessible to a computing device associated with a user, the public computing portion including a Platform-as-a-Service portion, the Platform-as-a-Service portion including a cloud computing platform; a private computing portion; and an Application Program Interface (API) gateway configured to couple the public computing portion and the private computing portion.

Abstract: There are disclosed techniques for use in configuring a data storage system. The techniques disclose defining a first workload including a first storage capacity requirement, a first IOPS requirement and a first skew value describing an expected workload profile. The techniques also disclose determining a percentage of the storage capacity requirement to be allocated from a storage tier based on a policy as well as allocating an amount of storage capacity from the storage tier in accordance with the percentage of the first storage capacity requirement. The techniques also disclose utilizing the first skew value to map the percentage of the first storage capacity requirement to a corresponding IOPS percentage to be handled by the storage tier. Further, the techniques disclose determining a first distribution of IOPS to the allocated storage capacity based on the IOPS percentage and the first IOPS requirement.