Hewlett-packard Development Company, L.p.

Hewlett Packard Enterprise Development LP

Troy Don Miller

Isom Lawrence Crawford, Jr

Thomas Edwin Turicchi, Jr

Jerry James Harrow, Jr

Mark A Criss

Parthasarathy Ranganathan

Vanish Talwar

Xiaoyun Zhu

Zhikui Wang

Clifford A McCarthy

Geoffery Schunicht

Wade James Satterfield

Francisco J Romero

Phil Prasek

Thomas Turicchi

Gregory D Jordan

Michael Wisner

Tom Turicchi

Mark A Chris

Cherryl Dawson

Clifford Mccarthy

Thomas Edwin Turrichi, Jr

In some examples, a non-transitory machine-readable medium can include instructions executable by a processing resource to: monitor a quantity of interactions between a plurality of user interfaces with an embedded device, determine when the quantity of interactions with the embedded device exceeds a threshold, send a slow-down message to a portion of the plurality of user interfaces in response to the interactions with the embedded device exceeding the threshold, and restrict a portion of the quantity of interactions with the embedded device when the quantity of interactions continues to exceed the threshold for a quantity of time after the slow-down message was sent to the portion of the plurality of user interfaces.

Embedded device interaction restrictions

A data processing system facilitates virtual machine migration with direct physical access control. The illustrative data processing system comprises a software-programmable trap control associated with hardware registers of a computer that selectively vectors execution control of a virtual machine (VM) between a host and a guest. The data processing system further comprises a logic which is configured for execution on the computer that programs the trap control to enable the virtual machine to directly access the hardware registers when the virtual machine is not migrated and to revoke direct access of the hardware registers in preparation for virtual machine migration.

Virtual machine migration with direct physical access control

Power consumption of a group of computer systems is managed based on a maximum power consumption for the group. A power budget is determined from the power consumption of each computer system and the maximum power consumption for the group. The power budget identifies a power cap for each computer system in the group. The power caps in the power budget are distributed to the computer systems in the group.

Power budgeting for a group of computer systems using utilization feedback for manageable components

A management workstation has an interface for receiving notifications of data-center facilities infrastructure events. A manager determines emergency power settings for managed computing resources in response to the notifications. The settings are then communicated to the resources.

Emergency power settings for data-center facilities infrastructure event

In one embodiment, a method comprises executing respective workload management processes within a plurality of computing compartments to allocate at least processor resources to applications executed within the plurality of computing compartments, selecting a master workload management process to reallocate processor resources between the plurality of computing compartments in response to requests from the workload management processes to receive additional resources, monitoring operations of the master workload management process by the other workload management processes, detecting, by the other workload management processes, when the master workload management process becomes inoperable, and selecting a replacement master workload management process by the other workload management processes in response to the detecting.

System and method for replacing an inoperable master workload management process

In one embodiment, a method for allocating computing resources comprises executing a plurality of applications and a grid virtual system within a shared resource domain, assigning computing resources to the plurality of applications to process application transactions, dynamically reallocating computing resources associated with the plurality of applications to the grid virtual system when the computing resources are idle, registering availability of grid services in response to the reallocating, scheduling grid jobs for execution within the grid virtual system, and modifying at least one reallocation parameter in response to the scheduling.

System and method for allocating computing resources for a grid virtual system

In one embodiment, a system comprises a plurality of computing containers having processing resources for executing software workloads, a plurality of management processes for controlling access to the processing resources according to workload policy definitions, a data container for storing a plurality of workload policy definitions and associations between the plurality of workload policy definitions and the plurality of computing containers, and a configuration process for communicating workload policy definitions from the data container to the plurality of management processes.

System and method for associating workload management definitions with computing containers

The present invention provides for check-pointing an non-clustered workload to make room for a clustered workload that was running on a computer system that has suffered a hardware failure.

Terminating a non-clustered workload in response to a failure of a system with a clustered workload

Growing community of inventors

Richardson, TX, United States of America

Troy Don Miller