Hewlett-packard Development Company, L.p.

Hewlett Packard Enterprise Development LP

William H Blanding

Daniel Edward Herington

Jerry James Harrow, Jr

Thomas Edwin Turicchi, Jr

Dan Herington

Sharad Singhal

Manosiz Bhattacharyya

Clifford A McCarthy

David Isaiah Seidman

Wade James Satterfield

Bryan L Backer

Michael R Stabnow

Glenna G Mayo

Gregory D Jordan

Robert A Viveney

Franklin Greco

Wade J Satterfield

A scale out workload management system executing on a computer system controls simultaneous execution of multiple workloads. The computer system includes multiple nodes, where each node defines computer resources consumable by a workload. The scale out workload management system includes an application manager coupled to the nodes. The application manager controls start up and shut down of the nodes based on demands placed on the workloads. The scale out workload management system further includes a workload manager coupled to the application manager. The workload manager includes a monitor module that collects performance information from nodes on which the workloads are executing, an aggregator module that collects the performance information and aggregates the performance information from all nodes supporting the workloads, and a comparator module that compares aggregated performance information for the workloads to a performance target and determines if an allocation of nodes to the workloads should be changed.

Management of multiple scale out workloads

A multi-partition computer system includes a utilization monitor for monitoring resource utilization, plural prediction engines for predicting utilization during a next allocation period, a prediction rater for rating said prediction engines based on the accuracy of their predictions, and an allocation implementer for implementing an allocation determined as a function of a prediction by a highest-rated of said prediction engines as determined by the prediction rater.

Allocation of resources among computer partitions using plural utilization prediction engines

A computer system includes computing resources and workload containers to which the resources can be allocated. A workload manager plans 1) a reallocation of the computing resources among said containers, and 2) a transfer sequence for units of the computing resources to implement said reallocation. The transfer sequence is selected as a function of a ranking of resource allocations and/or delay-related costs in implementing the reallocation.

Workload management with resource transfer sequence planned as a function of ranking of resource allocations

A method and a corresponding system, implemented as programming on a computer system, controls resource consumption in the computer system. The method includes the steps of monitoring current consumption of resources by workloads executing on the computer system; predicting future consumption of the resources by the workloads; adjusting assignment of resources to workloads based on the predicted future consumption, comprising: determining consumption policies for each workload, comparing the policies to the predicted future consumption, and increasing or decreasing resources for each workload based on the comparison; and providing a visual display of resource consumption and workload execution information, the visual display including iconic values indicating predicted consumption of instant capacity resources and authorization to consume instant capacity resources.

Controlling computing resource consumption

A system for integrating resource capacity planning and workload management, implemented as programming on a suitable computing device, includes a simulation module that receives data related to execution of the workloads, resource types, numbers, and capacities, and generates one or more possible resource configuration options; a modeling module that receives the resource configuration options and determines, based on one or more specified criteria, one or more projected resource allocations among the workloads; and a communications module that receives the projected resource allocations and presents the projected resource allocations for review by a user.

System and method for integrating capacity planning and workload management

The present invention provides for intra-server transfer of hardware resources involving inter-server transfers of software license rights.

Workload reallocation involving inter-server transfer of software license rights and intra-server transfer of hardware resources

A system, and a corresponding method, implemented on a processor, is used for assigning and reassigning instant capacity (iCAP) resources and non-iCAP resources in a computer system. The system includes a workload management system (WLMS) that monitors and controls the iCAP and the non-iCAP resources; an iCAP system available to monitor and control the iCAP resources; and an iCAP-WLMS integration system that transfers iCAP monitoring and control functions from the iCAP system to the WLM system, where the transfer creates a workload management (WLM) special mode of operation of the computer system, and where the WLMS monitors and assigns iCAP resources when in the WLM special mode.

System and method for instant capacity/workload management integration

Resource-type weighting is used in evaluating the use-rights associated with hardware resources.

Resource-type weighting of use rights

A system, and a corresponding method, implemented on a processor, allows for monitoring and control of temporary instant capacity (TiCAP) resources in a computer system. The system includes a resource management system (RMS), which includes a RMS monitor that tracks a workload executing on the computer system and determines when workload demand exceeds allocated non-TiCAP resource capacity, whereby a resource shortfall is generated, and a RMS processor module that compares the resource shortfall to granularity of supply of the TiCAP resources and that generates a TiCAP transfer control request based on the comparison. The system further includes a temporary instant capacity (TiCAP) system that monitors and controls allocation of TiCAP resources on the computer system, and which includes a RMS detection module that receives the request to transfer control of the TiCAP resources to the RMS, and a transfer module that transfers control of the TiCAP resources based on the request.

Virtualized temporary instant capacity

A computer system allocates computer resources to workloads by generated plural requests per combination of workload and allocation period from probability distributions generated at least in part from utilization data.

Allocating computer resources to workloads using utilization based probability distributions

A method, and a corresponding system, for managing under-utilized resources in a computer system includes the steps of monitoring performance of workloads executing on the computer system, where the workloads consume resources, determining resource demand and utilization by the workloads, comparing the workload performance to user-defined performance targets and resource utilization by the workloads to user-defined utilization targets, using the comparison results, determining if one or more resources may be assigned to a free resource pool, and assigning the determined resources to the free resource pool.

Managing under-utilized resources in a computer

A computer system characterized by a container hierarchy uses a workload manager to allocate computing resources to workloads. The workload manager can allocate resources as a function of aggregate characteristics of a group of workloads, even where the group does not conform to the container hierarchy.

Workload management for computer system with container hierarchy and workload-group policies

The present invention provides for allocating computer resources to computer workloads at least in part as a function of expected marginal utilities of candidate recipient workloads.

Allocating computer resources to candidate recipient computer workloads according to expected marginal utilities

A method of allocating computer resources to workloads involves monitoring utilization of computer resources by workloads to generate utilization as a function of time data. The utilization data is used to classify workloads into demand types as a function of the utilization data. A workload manager plans and implements an allocation of computer resources to the workloads in part as a function of the demand types of the workloads.

Computer resource allocation as a function of demand type

A method comprises recognizing a need for an additional resource to be made available to a target computer workload. A determination is made whether said target workload is licensed for additional resource. If the determination is positive, the resource is transferred to the target workload. If the determination is negative, a license is transferred from a source workload, and then the resource is transferred to the target workload.

Growing community of inventors

Bow, NH, United States of America

William H Blanding