Hewlett-Packard Development Company, L.p.

Hewlett Packard Enterprise Development LP

Dan Herington

William H Blanding

Wade James Satterfield

Jerry James Harrow, Jr

Bryan L Backer

Michael R Stabnow

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

Updating a computer system. An update root environment is created on the computer system by copying an operational root environment of the computer system. The resources of the computer system used by the update root environment and said operational environment are managed, wherein a first portion of the resources are dedicated to at least the operational root environment. At least one update is performed on the update root environment.

Updating a computer system

A method for managing a computing system comprises identifying read-only portions of a file system, sharing the read-only portions of the file system among a plurality of virtual machines, and managing the shared read-only portions of the file system as a single unit.

Managing virtual machines using shared image

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.

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Dallas, TX, United States of America

Dan Herington