International Business Machines Corporation

Lenovo (singapore) Pte. Ltd.

Charles Robert Lefurgy

Karthick Rajamani

Malcolm Scott Allen-Ware

Guillermo Jesus Silva

Malcolm Scott Ware

Alan J Drake

Freeman Leigh Rawson, Iii

Wesley Michael Felter

Gregory Scott Still

Todd Jon Rosedahl

Heather Lynn Hanson

Tilman Gloekler

Timothy Glen Hallett

Michael Stephen Floyd

Thomas M Brey

Victor V Zyuban

Bishop Chapman Brock

Shawn P Authement

Yang Li

John Charles Elliott

Wei T Huang

Sumeet Kochar

John Bruce Carter

David Blair Whitworth

Jordan Ross Keuseman

J Carlos A Pratt

Ramakrishnan Rajamony

Anand Haridass

Tobias Webel

Arun Joseph

Richard Frank Rizzolo

Ryuji Orita

Amos A Omokpo

Tyler K Bletsch

Kirk David Peterson

Brian William Thompto

Kanak Behari Agarwal

Diyanesh B Chinnakkonda Vidyapoornachary

Barry P Linder

Srinivasan Ramani

Patrick Joseph Bohrer

Thomas W Keller, Jr

Preetham M Lobo

Ronald Jay Bolam

Thomas Walter Keller

Steven W Mittl

Joshua D Friedrich

Daniel Dean Heimsoth

Spandana V Rachamalla

Joshua Ian Harriman

Rohith Ravindra

Andrew Dale Walls

Jon Alfred Casey

Ajay Dholakia

Diwesh Pandey

Elmootazbellah Nabil Elnozahy

Richard Loise Arndt

Thomas Anthony Wassick

Vivek Kashyap

Juan C Rubio

Sungjun Chun

Eric Van Hensbergen

Christopher Landon Wood

Hai Huang

Mark Anthony Rinaldi

Bruce Alan Smith

Dipankar Das Sarma

Peter Altevogt

Jeonghee Shin

Kevin Allen Hughes

Madhu Saravana Sibi Govindan

Nagashyamala R Dhanwada

Jeffrey Bloom

Glenn Rueban Miles

Peter Thomas Donovan

Hans Boettiger

Juan J Alvarez

David Ohlemacher

Samuel W Shanks

Balaji Ramamoorthy

Eddie L Smith

James Yanes

Malcom S Allen-Ware

Neven A Gazala

Tibor Horvath

Lutz Stiege

Christopher Michael Galtenberg

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 system for post-silicon leakage characterization is configured to apply a rail voltage to a hardware component; cause the hardware component to operate at a particular frequency; cause a cooling device, coupled to the hardware component, to operate at a cooling capacity; run a workload on the hardware component after applying the rail voltage, causing the hardware component to operate at a particular frequency, and causing the cooling device to operate at a particular cooling capacity; discontinue the workload and clocks of the hardware component after a temperature of the hardware component has reached a steady high point; continuously measure temperature and leakage power of the hardware component after discontinuing the workload until the temperature of the hardware component has reached a steady low point; and adjust a power management procedure for the hardware component based on measured temperature and measured leakage power of the hardware component.

Leakage power characterization at high temperatures for an integrated circuit

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

A method includes monitoring power usage for a storage system that includes a set storage units at a first level of storage granularity and a set of storage sub-units at a second level of storage granularity, wherein the second level of storage granularity is finer than the first level of storage granularity. The method further includes assigning a non-uniform power budget to the set of storage units and adjusting a power budget for the storage sub-units according to the non-uniform power budget assigned to the storage units. A corresponding computer program product and computer system are also disclosed herein.

Storage system power usage

Growing community of inventors

Austin, TX, United States of America

Charles Robert Lefurgy