公开(公告)号：US20240028432A1

公开(公告)日：2024-01-25

申请号：US18354582

申请日：2023-07-18

Applicant: Netflix, Inc.

Inventor： Andrew David Eichacker ,  Anselm Lau ,  Aryan Mehra ,  Jason Nicholas Munning ,  Farnaz Karimdady Sharifabad ,  Prasanna Vijayanathan ,  Chaïna Wade

IPC: G06F11/00 ,  G06F9/50

CPC classification number: G06F11/008 ,  G06F9/5016

Abstract: A computer-implemented method includes identifying static information associated with a computing device that is running a media playback application. The method also includes monitoring the media playback application during a playback session to identify dynamic information associated with the playback session. Still further, the method includes instantiating a trained machine learning (ML) model to determine, based on historical usage data associated with the media playback application, a likelihood that the media playback application will experience an out of memory kill. The trained ML model implements a graded window to indicate a scaled likelihood that an out of memory kill will occur within a specified timeframe. Then, according to the trained ML model's determination, the method generates a prediction that an out of memory kill will occur for the media playback application within the specified timeframe. Various other methods, systems, and computer-readable media are also disclosed.