International Business Machines Corporation

Guillermo Jesus Silva

Malcolm Scott Allen-Ware

Charles Robert Lefurgy

Karthick Rajamani

Todd Jon Rosedahl

Timothy Glen Hallett

Gregory Scott Still

Jordan Ross Keuseman

Glenn Rueban Miles

Wei T Huang

Martha Broyles

Yang Li

Alan J Drake

Tilman Gloekler

Bishop Chapman Brock

Heather Lynn Hanson

James Douglas Jordan

Malcolm Scott Ware

Victor V Zyuban

Benjamin W Mashak

Amos A Omokpo

Kanak Behari Agarwal

Michael Stephen Floyd

Ramakrishnan Rajamony

John Bruce Carter

Andrew J Geissler

Andreas Bieswanger

Soraya Ghiasi

Thomas Walter Keller

Hye-Young McCreary

Dharmesh Bhakta

Lakshmi Potluri

Juan Francisco Obas

Daniel Dean Heimsoth

Trung Q Ly

Joshua Ian Harriman

Rohith Ravindra

William J Rooney

Freeman Leigh Rawson, Iii

Peter Bergersen Yocom

K Paul Muller

Patrick Kevin Egan

Daniel J Kearney

Thomas W Keller, Jr

Emmanuel Yashchin

Kevin Robert Covi

Michael Lee Miller

Kevin Allen Hughes

Scott J Hadderman

Jeffrey Bloom

Nia Letise Kelley

Peter Thomas Donovan

Juan J Alvarez

Christopher Michael Galtenberg

Samuel W Shanks

Eddie L Smith

James Yanes

Fadi M Kassem

David Ohlemacher

Malcom S Allen-Ware

Balaji Ramamoorthy

A computer-implemented method includes: detecting, by one or more processors, an indication that suggests a node has crashed, wherein the node is included in a distributed computing environment; in response to the detecting, confirming by the one or more processors whether the node has crashed by performing a set of probes on the node; and in response to the confirming that the node has crashed, initiating by the one or more processors a remediation of the node.

Automatic node crash detection and remediation in distributed computing systems

Controlling server power usage in a data center is provided. Power usage among a plurality of server racks in active mode processing a set of workloads in the data center is managed. It is detected that a new server rack in standby mode is being added to the plurality of server racks. It is ensured that the new server rack in the standby mode is properly controlled and monitored prior to transitioning the new server rack to the active mode. It is determined whether power safety criteria are met to safely join the new server rack to the plurality of server racks prior to transitioning the new server rack from the standby mode to the active mode. The new server rack is transitioned to the active mode in without exceeding a power budget for the plurality of server racks in response to determining that the power safety criteria are met.

Elastic resource control in a container orchestration environment

Virtual servers are monitored in real-time. A group of virtual servers from virtual server events occurring within a time window is identified by a computer system in real-time. A metric is determined for the group of virtual servers by the computer system in real-time using the virtual server events occurring within the time window for the group of virtual servers. A set of actions is performed by the computer system using the metric.

Virtual server creation monitoring and resource allocation system

Systems and techniques that facilitate automated validation of power topology are provided. In various embodiments, a control component can transmit a transition command to a power-distribution node of a data center, wherein the transition command can cause an outlet of the power-distribution node to transition between power states. In various aspects, a verification component can verify that a power-consumption node of the data center is connected to the outlet by comparing a pre-transition power characteristic of the power-consumption node with a post-transition power characteristic of the power-consumption node.

Automated validation of power topology via power state transitioning

A distributed power management system is configured determine a node power consumption of a node during a first time interval. The system can determine a node power cap. The system can determine a proportional component power budget for a component of the node based, at least in part, on the node power consumption and a component power consumption. The system can determine a power budget for the component for a second time interval based, at least in part on the proportional component power budget.

Distributed power budgeting

A computer controls power distribution. The computing system determines a power budget for a portion of a topography for a power delivery system. The computing system generates a pool of worker programs for the portion of the topography. The computing system generates a first number of power management tasks to manage power consumption in the portion of the topography based on the power budget. The computing system sends the first number of power management tasks to at least one worker program included in the pool of worker programs.

Continuously available power control system

Technology for computing number of active servers needed over time in a cloud/compute cluster includes the following operations (not necessarily in the following order): (i) determining the capacity of each VCE provisioned on the cloud against the resource guaranteed to that VCE; (ii) forecasting the resource needs over time using historical requests for each VCE flavor; and (iii) using the forecasted resource needs to determine the required number of future servers at some future time. Some embodiments of the present invention use a formula that accounts for the interplay among various parameter values of the VCE flavors and also the mapping of the needs of VCEs of various flavors to the capabilities of physical resources.

Cloud data center with reduced energy consumption

A method and apparatus for adjusting a frequency of a processor is disclosed herein. In one embodiment, the method includes inhibiting one or more processor cores from exiting an idle state. The method further includes determining a number of processor cores requesting exit from the idle state and a number of non-idle processor cores. The method also includes selecting a maximum frequency for the inhibited processor cores based on the number of inhibited processor cores requesting exit from the idle state and the number of non-idle processor cores. The method includes setting the maximum frequency for the inhibited processor cores, and then uninhibiting the processor cores requesting exit from the idle state.

Management of core power state transition in a microprocessor

A computer controls power distribution. The computing system determines a topography for a power delivery system that powers a group of computing devices. The computing system determines a number of worker programs for a pool of worker programs based on the topography. The computing system generates the pool of worker programs. The pool of worker programs includes both the number of worker programs and a number of back-up worker programs. The computing system generates a number of power management tasks to manage power consumption through one or more power elements included in the topography of the power delivery system. The computing system sends one or more power management tasks to a worker program included in the pool of worker programs.

A mechanism is provided for enforcing power caps within a power consumption device with multiple power supplies. Utilizing a minimum power error value from a set of error values, the minimum power error value is multiplied by a factor k to translate the minimum power error value to an internal power error value. The internal minimum power error value is multiplied by a number of working power supply units (M) of the power consumption device, resulting in an internal minimum power error value for multiple power supply units. The internal minimum power error value for the multiple power supply units is summed with a present power cap value thereby forming a summed power cap value. Responsive to the summed power cap value being between a power cap maximum and a power cap minimum, the computing load is throttled using the summed power cap value.

Enforcing power caps on computing devices with multiple power feeds

A mechanism is provided for power capping power consumption devices with multiple power supplies. A set of power supplies supplying power to a power consumption device having stranded power is determined. A power budget of one or more power supplies in the set of power supplies is adjusted to match a power budget of a power supply in the set of power supplies with a limiting power budget among the power budgets computed for each power supply in the set of power supplies. Responsive to identifying at least one power supply in the one or more other power supplies of one or more different power consumption devices having an initially allocated power budget below their corresponding demand, at least a portion of the stranded power is allocated to the power budget of the at least one power supply.

Power capping for power consumption devices with multiple power supplies

An apparatus includes a plurality of components and a plurality of component controllers. Each of the plurality of component controllers is associated with at least one component of the plurality of components. Each component controller is configured to compute a local power budget for the at least one component based, at least in part, on the power differential and the proportion of the total power consumption corresponding to the at least one component. A service processor is configured to determine failure associated with at least one component controller of the plurality of component controllers or the at least one component associated with the at least one component controller. The service processor is configured to in response to a reset threshold not being exceeded, reset the at least one component controller without interrupting operations of any components of the at least one component that have not failed.

Handling a failure in a system with distributed control of power and thermal management

A method for adjusting a frequency of a processor is disclosed herein. In one embodiment, the method includes inhibiting one or more processor cores from exiting an idle state. The method further includes determining a number of processor cores requesting exit from the idle state and a number of non-idle processor cores. The method also includes selecting a maximum frequency for the inhibited and non-idle processor cores based on the number of inhibited processor cores requesting exit from the idle state and the number of non-idle processor cores. The method includes setting the maximum frequency for both the inhibited and the non-idle processor cores, and then uninhibiting the processor cores requesting exit from the idle state.

Growing community of inventors

Austin, TX, United States of America

Guillermo Jesus Silva