Dynamic workload management based on predictive modeling and recommendation engine for storage systems
Abstract:
Allocation of storage array hardware resources between host-visible and host-hidden services is managed to ensure that sufficient hardware resources are allocated to host-visible services. Information obtained from monitoring real-world operation of the storage array is used to generate a model of the storage array. The generated model represents temporal dependencies between storage array hardware, host-visible services, and host-hidden services. Because the model includes information gathered over time and represents temporal dependencies, future occurrence of repeating variations of storage-related service usage and requirements can be predicted. The model may be used to generate hardware recommendations and dynamically re-allocate existing hardware resources to more reliably satisfy a predetermined level of measured performance.
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