Unisys Corporation

Matthew Munson

Thomas Adrian Valverde

Patricia Lynn Maw

Justin Azriel Okun

Scott Alan Geye

Steve JungHyun Hong

Lyle Owen Jevons, Jr

James V Thomas Hendrix

An embodiment of the present invention is a method for monitoring various data sources for events indicative of a current or potential system health problem, thereby automating management of system health monitoring, prediction, and notification, and providing the ability to correct said system health issues in the environment of a multiprocessor system.

Method for health monitoring with predictive health service in a multiprocessor system

A dynamic workload management system enables system administrators to easily identify installed applications and to assign them to affinity groupings in order of importance to the enterprise and to enable the system administrators to save and restore multiple configurations. The workload configuration is continually updated based on the hardware utilization measurements of the application groups that make up a workload configuration. The software interface of the system of the invention permits the system to dynamically add and remove processors to and from affinity masks that are automatically set up. This feature of the invention allows the application groups to consume CPU resources according to their priority.

Dynamic resource management system and method for multiprocessor systems

The present invention is a method for providing the consumption of a set amount of memory within a set amount of time in a server network in order to properly display the capabilities of running multiple applications proprietary suite of tools with the intention of being able to predictably trigger recovery events, and to discover when an application is 'over-consuming' memory.

Method for predictably feeding and consuming RAM memory to recognize over-consumption of resources

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Tustin, CA, United States of America

Matthew Munson