Hewlett-packard Development Company, L.p.

Hewlett Packard Enterprise Development LP

Chris Deon Hyser

Bret Alan McKee

Robert David Gardner

Cullen Edwin Bash

Yuan Chen

Daniel Juergen Gmach

Daniel J Magenheimer

Brian J Watson

Martin Arlitt

John S Worley

Zhikui Wang

Thomas W Christian

William S Worley, Jr

Kenneth John Geer

Sergey Blagodurov

Chandrakant D Patel

Tahir Cader

Manish Marwah

Alan Andrew McReynolds

Boris Balacheff

Amip J Shah

Graeme John Proudler

Jerome Alexander Rolia

Christopher Edward Hoover

Niru Kumari

Umesh Markandaya Lakshminarasimha

William J Thomas

Christopher Scott Worley

Brian Watson

Richard Shaw Kaufmann

Suryanarayana Vijay

John Brian Mayfield

William S Worely, Jr

Tom Christian

To provide an arrangement of virtual machines on physical machines, at least one controller compares indicators associated with plural different layouts of the virtual machines on the physical machines, wherein the indicators provide information regarding performances of corresponding layouts. The at least one controller selects one of the plural layouts based on the comparing.

Selecting one of plural layouts of virtual machines on physical machines

A system includes a memory and a controller. The controller controls access to the memory and is adapted to be programmed with a key that is associated with a context. The controller is adapted to, in response to a request to access the memory, perform a cryptographic function on data associated with the request based on the key.

Controlling access to memory using a controller that performs cryptographic functions

Systems and methods of managing workload at a data center are disclosed. An example method may include actively managing workload at a data center to realize energy savings. The method may also include providing excess power generated for the data center onto a utility grid.

Managing workload at a data center

A method for power management may include collecting data related to resource utilization and process information from a server. The method may further include using the collected data to generate use and state models respectively based on use and state categories of the server. The method may also include determining a state condition of the server through use of the generated use and state models to manage power utilization of the server.

Use and state based power management

According to an example, an application performance measurement for an application for a current time interval, a performance specification for the application, and a resource consumption metric for a resource of a plurality of resources that are to process the application for the current time interval may be accessed. In addition, the application performance measurement, the performance specification, and the resource consumption metric may be used to determine a resource specification for a next time interval for the resource of the plurality of resources. Moreover, the resource specification may be used to determine, by a processor, a resource weight for the resource of the plurality of resources for the next time interval.

Weight-based collocation management

A method of maximizing server utilization within a datacenter comprising collocating a number of workloads to a subset of a number of physical servers within a datacenter, adjusting access to resources by critical and non-critical workloads, isolating a number of critical workloads that share resources to the subset of resource instances, and controlling resource utilization of the collocated workloads. A system for collocating workloads in a datacenter, the system comprising a number of servers communicatively coupled to each other and a collocation module that receives information from each server and decides whether to leave a workload running on one of any of the servers on that server, or migrate a workload running on one of the number of servers to another server.

Maximizing server utilization within a datacenter

A data center workload distribution management system includes a cooling cost engine to determine a cooling cost or cooling capacity for each of a plurality of zones of a data center and a workload distribution engine. The workload distribution engine is to identify the zone that has a lowest cooling cost and sufficient cooling capacity and also has sufficient processing capacity for a workload, determine a local cooling efficiency index for at least one location within the identified zone, and distribute the workload to the location having a local cooling efficiency index that indicates the highest cooling efficiency.

Systems and methods for distributing a workload based on a local cooling efficiency index determined for at least one location within a zone in a data center

Managing computer resources. Workload state information associated with one or more servers in a data center is accessed by a computer, the workload state information comprises workload placement on one or more servers, cooling conditions of the one or more servers, and performance requirements associated with a data center. Cooling state information of cooling resources associated with the one or more servers are accessed by the computer, the cooling state information comprises cooling conditions of the cooling resources. The workload state information and the cooling state information are compared by the computer. Based on the comparing, the computer generates workload repositioning instructions that instruct repositioning of workload on the one or more servers to meet the performance requirements.

Managing computer resources

To migrate a virtual machine from a first physical machine to a second physical machine, a hot-plug event notification is issued to an operating system of the virtual machine in response to an indication that the virtual machine is to be migrated. After issuing the hot-plug event notification, migration of the virtual machine to the second physical machine is performed.

Migrating a virtual machine by using a hot-plug event

To migrate a virtual machine from a first physical machine to a second physical machine over a network, execution of the virtual machine in the first physical machine is stopped, where the first physical machine contains data associated with the virtual machine. State information of the virtual machine is copied from the first physical machine to the second physical machine, and execution of the virtual machine is started on the second physical machine based on the copied state information.

Retrieving data of a virtual machine based on demand to migrate the virtual machine between physical machines

Embodiments are directed to virtual machine migration according to environmental data in a data center. One embodiment is a method that analyzes environmental data for a data center having plural servers and migrates virtual machines among the servers to increase cooling efficiency in the data center.

Virtual machine migration according to environmental data

In a system including plural physical machines containing virtual machines, a first group including a subset, of the plural physical machines is defined. A controller is provided in the first group for identifying a placement of virtual machines on the physical machines in the first group. Migration is performed of at least one of the virtual machines between or among the physical machines in the first group according to the identified placement.

Migrating virtual machines between physical machines in a define group

Methods, apparatus and articles of manufacture to shift information technology workload demands are disclosed. An example method disclosed herein comprises obtaining demand profiles for workloads in an information technology infrastructure, each demand profile representing resource utilization over time to support a respective workload, and evaluating the demand profiles to shift, in time, assignment of at least one of the workloads to resources of the information technology infrastructure based on a target demand profile for an aggregation of the workloads.

Shifting information technology workload demands

A system includes an interconnect, processing cells connected to the interconnect, the processing cells containing corresponding cache memories and corresponding virtual machines, and a storage cell connected to the interconnect. The storage cell stores data portions that correspond to different ones of the processing cells, and the data portions are owned by individual ones of the processing cells to enable data communication over the interconnect without cache coherency support. A first and second of the processing cells are configured to migrate a virtual machine from the first processing cell to the second processing cell, where the migrated virtual machine in the second processing cell is configured to retrieve virtual machine data from a corresponding one of the data portions in the storage cell.

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Victor, NY, United States of America

Chris Deon Hyser