Microsoft Technology Licensing, LLC

Peter Hanpeng Jiang

Emily Nicole Wilson

Scott Chao-Chueh Lee

James George Cavalaris

Shen Wang

Jason Stewart Wohlgemuth

Brett Kenneth Dodds

James Anthony Schwartz, Jr

Daniel Sebastian Berger

Gaurav Jagtiani

Naga Govindaraju

Yuri Dotsenko

John A Strange

Binit Ranjan Mishra

Minsang Kim

Ramakoti R Bhimanadhuni

Emma Sutherland Boyd

Cody D Hartwig

Steven Adrian West

Aacer Hatem Daken

Pallavi Baral

Emily Cara Clemens

Bhuvan Malladihalli Shashidhara

Mukhtar Ahmed

Sri Harsha Kanukuntla

Sharon Scarlet Tang

Jasmine Grace Schlichting

Jennifer Marie Bourlier

Raz Meir Aloni

Farah Farzana

Sebastien Nathan R Levy

Josh Charles Moore

Drew Douglas Cross

Ahu Oral

Arhatha Bramhanand

Juan Arturo Herrera Ortiz

Christina Margaret Tobias

Terence Kwok Tak Chan

Michael Wayne Stephenson

Charlotte Gauchet

Vijaybalaji Madhanagopal

Christina Marianne Curlette

The disclosure herein describes training and using an uncorrectable error (UE) state prediction model based on telemetry error data. Sets of UE state labels and non-UE state labels are generated from a first set of collected telemetry data, wherein the UE state labels each reference a UE and telemetry data of an interval prior to the referenced UE. Statistical features are extracted from telemetry data of the sets of UE state labels and non-UE state labels, and the extracted statistical features are used to train a UE state prediction model. A second set of collected telemetry data is obtained, and a UE event is predicted based on the second set of collected telemetry data using the trained UE state prediction model. A preventative operation is performed on a memory page of the system based on the predicted UE event, whereby the predicted UE event is prevented from occurring.

Training and using a memory failure prediction model

In-place recovery of fatal system errors at virtualization hosts. A device identifies an occurrence of a fatal system error in the first instance of a host operating system (OS) executing in a computer system. The device determines to perform an in-place recovery for the fatal system error. The device performs the in-place recovery, including pausing the execution of a virtual machine (VM) by the first instance of the host OS, preserving a state of the VM within system memory of the computer system, and resuming the execution of the VM by a second instance of the host OS executing in the computer system based on the state of the VM that is preserved within the system memory of the computer system.

In-place recovery of fatal system errors at virtualization hosts

Growing community of inventors

Kirkland, WA, United States of America

Peter Hanpeng Jiang