International Business Machines Corporation

Google Inc.

Microsoft Technology Licensing, LLC

Joseph L Hellerstein

Sheng Ma

Maheswaran Surendra

Alexander M Keller

Sam Sampson Lightstone

Sujay Sunil Parekh

Yixin Diao

John Wilkes

Mark Steven Squillante

Brian K Grant

David P Bort

Steven E Froehlich

Walfredo Cirne

David Oppenheimer

Todd Pu-Tse Wang

W Nathaniel Mills, Iii

Jason Hickey

Kai-Peter Backman

Kun-Lung Wu

Matthew Albert Huras

Joel Leonard Wolf

Todd W Mummert

Gautam Kar

Jayram S Thathachar

Aaron B Brown

Kevin R Rose

Edwin Richie Lassettre

Vijaya Krishnan

Chang-shing Perng

Lance Warren Russell

Adam J Storm

Genady Grabarnik

Paul F Ringseth

Joseph Phillip Bigus

Chang-Shing Perng

John Frederick Morar

Noshir Cavas Wadia

Kaan Kudsi Katircioglu

Mukund Raghavachari

Peng Ye

Lisa F Spainhower

David Alan Rabenhorst

Lawrence S Hsiung

Frank N Eskesen

LeRoy Albert Krueger, Jr

David Wiley Coleman

Nikolaus Haus

Jonathan Lenchner

Shang Qing Guo

Irina Rish

Michael John Spisak

Robert Francis Berry

Vance Palmer Morrison

Nagui Halim

Christian Marcelo Garcia-Arellano

Niklas Gustafsson

Eric Lynn Eilebrecht

William H Tetzlaff

William Robert Messmer

John Hudson Bailey

Kenneth David Christiance

Alina Beygelzimer

Patrick B Heywood

Carolyn Haibt Norton

David Hutchinson Thoenen

Srirama Mandyam Krishnakumar

Donald Allen Schlosnagle

Denise Y Dyko

Tsz-Kin Lau

Peter K L Shum

Po Chang Yue

Fan Zhang

Lamia Youseff

Jeffrey Robert Pilgrim

Walter Canis

Luanne M Burns

Feng Liang

Rian T Pirtle

Steven S Demion

Willy W Chiu

Rajan Ravirajan

Todd William Mummert

Computer systems attempt to manage resource pools of a dynamic number of similar resources and work tasks in order to optimize system performance. Work requests are received into the resource pool having a dynamic number of resources instances. An instance-throughput curve is determined that relates a number of resource instances in the resource pool to throughput of the work requests. A slope of a point on the instance-throughput curve is estimated with stochastic gradient approximation. The number of resource instances for the resource pool is selected when the estimated slope of the instance-throughput curve is zero.

Managing pools of dynamic resources

Multiple scheduler verticals can allocate tasks to resources that are shared by the scheduler verticals. Information regarding a state of each resource may be stored in memory accessible by the multiple scheduler verticals, and a processor updates the information. The scheduler verticals schedule events to be performed by any of the resources, and submit updates to reflect the scheduled events in the information. In the event of conflicting events, an update corresponding to only one of the conflicting events is committed. Moreover, disruptions may be preplanned and scheduled so as to minimize impact on scheduled tasks.

Systems and methods for performing scheduling for a cluster

A process in a computer system creates and uses a meta-scheduler with meta-contexts that execute on meta-virtual processors. The meta-scheduler includes a set of schedulers with scheduler-contexts that execute on virtual processors. The meta-scheduler schedules the scheduler-contexts on the meta-contexts and schedules the meta-contexts on the meta-virtual processors which execute on execution contexts associated with hardware threads.

Meta-scheduler with meta-contexts

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining image search results. One of the methods includes scheduling a first computation for execution on each of a first plurality of worker processes. The first computation changes a respective state of each of one or more of the first worker processes from a first state to a second state. A respective second computation is scheduled for execution on each of a second plurality of worker, where each respective second computation will use a different value for a particular variable for two or more of the second plurality of worker processes. The respective state of each of the second plurality of worker processes is updated from the second state to a third state, where the third state corresponds to execution of the second computation using a first value of the particular variable.

Mirrored stateful workers

The invention enables server administrators (SAs) to improve their productivity and performance. With the methods and systems described herein, the prior art needed to search for appropriate tools for appropriate tasks is minimized and/or eliminated. Easier scripting and automation that does not require implementation across tools is provided. A consistent logical place is provided for all resources to be used. Standardization of tools enables improvements in service quality. Tools may be provided using one unambiguous authoritative data model, which eliminates data inconsistencies between sources. With the invention, updates to service delivery clients may be delivered more quickly. The invention also reduces costs for developing, deploying, and maintaining a tightly integrated service delivery client. Integration may be provided from the bottom up rather than after the fact. With the invention, common base objects are provided for events, problem and change records, and other system administration artifacts.

System and method for delivering an integrated server administration platform

Techniques are disclosed for combining multiple benchmarks for use in assessing characteristics of a computing system. For example, a method for configuring and running multiple benchmarks includes the following steps. A multiple benchmark specification is obtained. The multiple benchmark specification includes multiple individual benchmark specifications and a multiple benchmark workflow describing an ordering according to which the multiple individual benchmarks are to be configured and run. The multiple benchmarks are configured and run according to the ordering identified in the multiple benchmark workflow. Results of the multiple benchmark runs are recorded. One or more specifications or results associated with at least one of the multiple benchmarks are utilized as part of a benchmark specification for at least another of the multiple benchmarks so as to provide consistency between at least the one and the other of the multiple benchmarks.

Method and system for combining multiple benchmarks

Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.

Managing computing deployment in presence of variable workload

In one embodiment, functional system elements are added to an autonomic manager to enable automatic online sample interval selection. In another embodiment, a method for determining the sample interval by continually characterizing the system workload behavior includes monitoring the system data and analyzing the degree to which the workload is stationary. This makes the online optimization method less sensitive to system noise and capable of being adapted to handle different workloads. The effectiveness of the autonomic optimizer is thereby improved, making it easier to manage a wide range of systems.

Method and apparatus for online sample interval determination

Techniques for constructing and using models in accordance with service level management are disclosed. In one aspect of the invention, a technique for constructing a model (e.g., a system model) representative of a resource for use in managing a service associated with the resource, comprises the following steps/operations. A set of resource metrics is obtained in accordance with a resource abstract model (RAM) associated with the resource. Then, a model representative of the resource is constructed based on at least a portion of the set of resource metrics obtained from the resource abstract model.

Methods and systems for model-based management using abstract models

A software development service offering of constructing and embedding feedback control based algorithms into computer systems management software applications is delivered by a provider entity to a client organization. The provider is contracted by the client to prepare a set of control modeling assets based on identified computing system management problems and goals of the diem and to create a set of control solutions. Bi-directional links between the problems, assets and solutions are used by the provider to develop feedback control based algorithms that solve the identified client computing management problems and meet the client's computing system goals.

System and method for service offering for feedback controller design and implementation for performance management in information technology systems

An adaptive throttling system for minimizing the impact of non-production work on production work in a computer system is provided. The adaptive throttling system throttles production work and non-production work to optimize production. The adaptive throttling system allows system administrators to specify a quantified limit on the performance impact of non-production or utility work on production work. The throttling rate of the utility is then automatically determined by a supervisory agent, so that the utilities' impact is kept within the specified limit. The adaptive throttling system adapts dynamically to changes in workloads so as to ensure that valuable system resources are well utilized and utility work is not delayed unnecessarily.

Adaptive throttling for data processing systems

Techniques are provided for use in accordance with relates to computing utilities. For example, in one aspect of the invention, a method for use in a computing utility, wherein the computing utility comprises a plurality of application service provider systems and a utility controller, and each application service provider system comprising an application controller, comprises the following steps. An application request to one of the plurality of application service provider systems is obtained. Then, in response to the application request, at least one of: (i) the application controller of the application service provider system to which the application request is directed computes a value of a business metric associated with a resource action; and (ii) the utility controller computes a value of a business metric associated with a resource action.

Resource optimizations in computing utilities

Growing community of inventors

Ossining, NY, United States of America

Joseph L Hellerstein