Facilitating Workload Aware Storage Platform by Using Machine Learning Technics

Abstract

In this paper, we present our proof-of-concept of a workload aware storage platform. The POC demonstrates the feasibility of building a machine learning technics facilitated middleware for storage management. The middleware is capable of providing optimal assignments of storage workloads to backends as well as continuously on-the-fly optimization thereafter. Experiment indicates that the proposed middleware can efficiently and dynamically adapt the storage backend to satisfy the SLA requirements with minimum impact on the workloads.