International Business Machines Corporation

Uzi Hardoon

Lorin Ullmann

Puthukode G Ramachandran

Christopher Andrew Peters

Vijay Kumar Aggarwal

John Patrick Whitfield

Craig M Lawton

David Werner Bachmann

Raymond Paul Pekowski

Enabling automated provisioning on a data processing network includes providing the network with access to an automated provisioning controller. The controller enables a user to specify resource allocation priorities and uses the user-specified priorities, in conjunction with a resource stabilization policy, to resolve conflicting resource requests. The resource allocation priorities include priorities for demand-based resource requests and maintenance-based resource requests. The stabilization policy includes a policy for constraining allocation of a resource based on forecasted demand and a policy for constraining allocation of a resource based on a scheduled maintenance task.

Enabling user control over automated provisioning environment

A method and software for fulfilling a resource request in a data processing network includes specifying characteristics of the requested resource responsive to detecting the resource request. A set of attributes is then derived from the specified characteristics. The specified characteristics indicate broad or general properties of the needed resource while the derived attributes preferably indicate the hardware and software components of a resource ideally suited to fulfill the resource request. Attribute information associated an available resource is then evaluated against the attributes derived from the specified characteristics. An available resource is then selected, based on the evaluation, to satisfy the resource request. The attributes of the selected resource best match the attributes derived from the specified characteristics. The requested resource may be a server resource and specifying the characteristics of the requested resource may includes specifying a server type from a constrained set of server types.

Provisioning manager for optimizing selection of available resources

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Uzi Hardoon