Dell Products Inc.

En Shi

Chi Chen

Changyue Dai

Hailan Dong

Amber Jing Li

Cherry Dai

Methods, system, and non-transitory processor-readable storage medium for a tuning system are provided herein. An example method includes providing, by a tuning module, a tuning action based on a state associated with a test case, executing, by a tuning agent, the test case using the tuning action, assessing, by a tuning assessment module, the tuning action with respect to a long-term reward, and determining a similarity between a subsequent execution of the test case and the assessment of the tuning action on at least one previous execution of the test case to tune the tuning action.

Autonomous software testing robot aims at storage product defect detection

An apparatus comprises a processing device configured to detect a request for an updated snapshot schedule for an information technology asset, and to determine a current state of the information technology asset comprising a set of snapshot parameters of a current snapshot schedule and one or more performance metric values. The processing device is also configured to generate, utilizing a reinforcement learning framework, an updated parameter value for at least one of the snapshot parameters based at least in part on the current state. The processing device is further configured to monitor performance of the information technology asset utilizing the updated snapshot schedule comprising the updated parameter value for the at least one snapshot parameter, and to update the reinforcement learning framework based at least in part on a subsequent state of the information technology asset determined while monitoring performance of the information technology asset utilizing the updated snapshot schedule.

Generating parameter values for snapshot schedules utilizing a reinforcement learning framework

Techniques for storage testing involve: acquiring a first state of a storage system including first input/output (IO) load information; taking a first action based on the first state, the first action causing the first IO load information to be changed to second IO load information; updating the first action to be a reserved action for the first state if it is obtained based on the second IO load information that the storage system reaches a preset condition; and obtaining an action combination of a plurality of IO load information changes based on a plurality of reserved actions corresponding to a plurality of states, wherein the plurality of states include the first state. Accordingly, the most effective load combination change mode for the storage system can be found automatically and more accurately, so as to find more vulnerabilities of the storage system, thereby improving the efficiency of storage system testing.

Growing community of inventors

Chengdu, China

En Shi