Modeler for predicting storage metrics
US8620921B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 28, 2011 |
| Grant date | Dec 31, 2013 |
| Priority date | — |
| Expiry date | Jun 21, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/28
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described herein is a system and method for dynamically managing service-level objectives (SLOs) for workloads of a cluster storage system. Proposed states/solutions of the cluster may be produced and evaluated to select one that achieves the SLOs for each workload. A planner engine may produce a state tree comprising nodes, each node representing a proposed state/solution. New nodes may be added to the state tree based on new solution types that are permitted, or nodes may be removed based on a received time constraint for executing a proposed solution or a client certification of a solution. The planner engine may call an evaluation engine to evaluate proposed states, the evaluation engine using an evaluation function that considers SLO, cost, and optimization goal characteristics to produce a single evaluation value for each proposed state. The planner engine may call a modeler engine that is trained using machine learning techniques.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.