Hewlett Packard Enterprise Development LP

Hewlett-packard Development Company, L.p.

Charles S Greenidge

Subhajit Dasgupta

Clifford A McCarthy

Geoffery Schunicht

Abhay Padlia

Rajeev Pandey

Latha Srinivasan

Jonathan M Sauer

Charles E Fowler

Michelle Catherine Frolik

Sandesh V Madhyastha

Gary L Thunquest

Jerry Harrow

Alexander Kramer

Charles L Hudson

Robert Teisberg

Nigel Thomas Cook

David Kasperson

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 network switching environment includes a network switch coupled to a port extension module by one or more network cables, and a management resource coupled to the switch and the port extension module. The configurations of the network switch and the port extension module may be dynamically controlled by a management resource to adjust to changes in the maximum bandwidth provided by the one or more network cables. The management resource may implement the network switch and port extension module configurations according to a predetermined target configuration and the connection configuration of the network switch and the port extension module.

Speed determination for network ports

Example implementations relate to executing transactions based on success or failure of the transactions. For example, a management module of a computing system can execute a transaction that requests access to system resources and determine if the transaction fails or succeeds. The management module can execute a first set of actions, in response to determining that the transaction succeeds, and execute a second set of actions, in response to determining that the transactions fails.

Executing transactions based on success or failure of the transactions

According to one embodiment, a server is automatically deployed using a pre-provisioned logical volume LV. A first world wide name WWNis associatedwith a logical volume LVassociated with a disk array controller. A second world wide name WWN, which is assigned to a server S, is receivedat the disk array controller. Ifthe first world wide name WWNis the same as the second world wide name WWN, the server Sis enabledto access the logical volume LV. The first and second world wide names are not required to be assigned to any server S, Sat the time that the first world wide name is associated with the logical volume.

Automatic server deployment using a pre-provisioned logical volume

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Loveland, CO, United States of America

Charles S Greenidge