Hewlett Packard Enterprise Development LP

Hewlett-packard Company

Gary L Thunquest

Clifford A McCarthy

Geoffery Schunicht

Abhay Padlia

Rajeev Pandey

Charles S Greenidge

Charles E Fowler

Latha Srinivasan

Michelle Catherine Frolik

Subhajit Dasgupta

Jonathan M Sauer

Sandesh V Madhyastha

Jerry Harrow

John R Diamant

A system to facilitate infrastructure management is described. The system includes one or more processors and a non-transitory machine-readable medium storing instructions that, when executed, cause the one or more processors to execute an infrastructure management controller to automatically balance utilization of infrastructure resources between a plurality of on-premise infrastructure controllers.

Load balancing of on-premise infrastructure resource controllers

A system to facilitate infrastructure management is described. The system includes one or more processors and a non-transitory machine-readable medium storing instructions that, when executed, cause the one or more processors to execute an infrastructure management controller to receive a request to provide infrastructure management services and generate a mapping between at least one instance of the infrastructure management controller and one or more resource instances at one or more on-premise infrastructure controller instances to provide the cloud based infrastructure management services, wherein the request includes one or more configuration parameters.

Infrastructure resource mapping mechanism based on determined best match proposal for workload deployment

A system to facilitate infrastructure management is described. The system includes one or more processors and a non-transitory machine-readable medium storing instructions that, when executed, cause the one or more processors to execute an infrastructure management controller to receive first monitoring data indicating a first infrastructure condition occurring at an on-premise infrastructure controller, determine a first load state of the on-premise infrastructure controller based on the first infrastructure condition and adjust a consistency level of the on-premise infrastructure controller to a first level of the consistency based on the first state.

Infrastructure adaptive consistency level mechanism

Infrastructure load balancing using software-defined networking controllers

A system to facilitate infrastructure management is described. The system includes a plurality of management controllers each having a control function of a plurality of infrastructure devices and a state cache storing a state of the plurality of infrastructure devices, including a first management controller to initiate an operation to be performed on a first set of resources. The system also includes a plurality of infrastructure controllers, each having a state repository to maintain a state function of the plurality of infrastructure devices, including a first infrastructure controller associated with the first set of resources to perform the operation on the first set of resources, update a first state repository including an updated state of the first set of resources in response to the operation and broadcast the updated state of the first set of resources to each of the plurality of management controllers.

Peer to peer infrastructure management architecture

A task manager for providing personal organization, project management, and process automation capabilities. The task manager maintains a hierarchical list of tasks for an individual. For each task, notes can be kept, priorities set, and progress tracked. Also, subsets of the task hierarchy can be shared. Every task in the task manager belongs to a class, and each class includes pre-defined automatic actions and manual actions. The pre-defined automatic actions are automatically executed by the task manager when the task is being worked on. The manual actions aid in task execution because the relevant operations (that is, the manual actions) are available when the task is being worked on. The task manager communicates with agents, tools, and process engines via a message system. The agents, tools, and process engine may receive task information from the task manager and may also remotely control the task manager.

Process enaction and tool integration via a task oriented paradigm

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Fort Collins, CO, United States of America

Gary L Thunquest