NON-MONOTONIC EVENTUAL CONVERGENCE FOR DESIRED STATE CONFIGURATION

Patent №

US 9,952,953

Granted

2018-04-24

Filed 2015

Owner

MICROSOFT TECHNOLOGY LICENSING LLC

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14982306

Technologies are provided for non-monotonic eventual convergence for desired state configuration. One class of problem in DSC is that, in some situations, DSC cannot move forward toward a desired state without first moving further from the desired state. For example, an executable file providing a service that needs to be replaced with a newer version, but that is currently executing (i.e., in the desired state of “operating”), cannot be replaced with the newer version without first being stopped. But stopping the service moves in the wrong direction relative to the desired state, which is to have the service operating. This moving away from the desired state so as to be able to move closer to the desired state is a problem for conventional DSC systems that results in failures. The solution to this problem is herein referred to as “non-monotonic eventual convergence” or “NMEC”. Such NMEC enables a DSC system to configure a target system for a desired state by moving further away from that state if such is needed to eventually reach the desired state.

AI hardwareG06F 11/2289G06F 8/31G06F 8/656G06F 8/71G06F 9/44505G06F 11/3048G06F 11/3051G06F 11/368

AI classification

AI hardware0.99
Natural language0.08
Knowledge representation0.03
Evolutionary computation0.03
Machine learning0.00
Speech0.00
Vision0.00
Planning0.00

Ownership

MICROSOFT TECHNOLOGY LICENSING LLC

assignment · 373740932

Assignors

PAYETTE, BRUCE GORDON, MAHAWAR, HEMANT, HANSEN, KENNETH M., GRAY, MARK, LAKSHMANAN, NARAYANAN

On an employer assignment, the assignors are typically the inventors.

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