Applying AI/ML Methodologies to Categorize Storage Workloads
Watch a 40-minute conference presentation from the Storage Developer Conference (SDC) 2023 exploring innovative approaches to synthesizing and testing complex storage workloads using AI/ML methodologies. Learn about the challenges of replicating real-world application workloads in test environments and discover two proposed solutions: the Workload Analyzer and Synthesizer (WAS) that analyzes array autosupport data, and the Workload Matrix Solution (WMS) for deploying synthesized workloads in test environments. Gain insights into enterprise-level application workload validation, AI/ML techniques for categorizing storage workloads, and methods for validating storage products against real-world applications without actual deployment. Presented by Hewlett Packard Enterprise experts Dhishankar Sengupta and Padmanabhan Pandurangan, this talk addresses the growing complexity of application workloads and provides practical solutions for customer-driven testing in storage environments.