International Business Machines Corporation

Google Inc.

Steven E Froehlich

Li Feng Zhang

Joseph L Hellerstein

Xiaoqiao Meng

Maheswaran Surendra

Michel H T Hack

Todd W Mummert

Michael K Coffey

Paul D Moyer

Edwin Richie Lassettre

Judith Helen Bank

Lance Warren Russell

Peter Richard Badovinatz

Jeffrey S Lucash

Noshir Cavas Wadia

Mukund Raghavachari

James Newman Chen

Peng Ye

Elisabeth R Stahl

Karl Robert Huppler

Lawrence S Hsiung

David Wiley Coleman

Alexander M Keller

Yixin Diao

Chun-Shi Chang

Lisa F Spainhower

Frank N Eskesen

Chuhi Chang

Todd William Mummert

In an exemplary aspect, method, apparatus, and program products are disclosed suitable for clock offset determination. One method includes performing a number of exchanges of at least single bytes with another network node, where values of the single bytes are different for the exchanges. The method also includes capturing and storing timestamps for each of the number of exchanges performed on the network node. A second method includes capturing and saving arrival timestamps for each of a number of timing messages in a set of timing messages received from another network node. This second method also includes sending the timestamps to at least the another node in response to completion of the set of timing messages.

Techniques for improved clock offset measuring

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

An autonomic computing system and method store a set of resource equivalencies in memory, select at least one resource equivalency from the set of resource equivalencies, and use the selected at least one resource equivalency for operating the selected resource as required by an autonomic computing system. The set of equivalent resources can contain a plurality of physically distinct resources that are logically equivalent. Resources are added or removed from the set automatically. Equivalent sets can be nested within an equivalent set.

Policy driven automation&#x2014;specifying equivalent resources

A method and apparatus for and article of manufacture for simulating workloads experienced by multiple partitions in a virtualized system are provided. A master workload driver initiates, coordinates and regulates one or more workload drivers that execute one or more workload simulation tasks in a logical partition. Further, each workload driver may be configured to report a measure of performance regarding the workload to the master control driver where results of many workload drivers may be correlated and analyzed. A configuration file specifies the characteristics of each simulation. Further, the rate and nature of workloads may be adjusted dynamically during a given simulation to model the performance under different real-world scenarios of different computational loads that may be experienced by the virtualized system.

Performing dynamic simulations within virtualized environment

A clock offset between a client and a server is measured by: (a) the client sending a request to the server; (b) upon receiving the request in step (a), the server optionally sending a server acknowledgement to the client; (c) upon the client receiving the server acknowledgement in step (b) or directly, if no acknowledgement was used, each of the client and the server proceeding to concurrently exchange their respective timestamps with each other a multiplicity (n) of times, thus forming a multiplicity (n) of timestamp exchanges; and (d) determining a plurality of apparent forwards and backwards delays based on the multiplicity (n) of timestamp exchanges. The preferred apparent forwards and backwards delays are then selected based on the minimum values (for each direction) determined in (d) above. The clock offset between client and server is then determined based on the preferred apparent forwards and backwards delays.

Robust jitter-free remote clock offset measuring method

A computer system is arranged with a circular buffer that includes a piecewise linear map from a high-resolution counter arranged to maintain International Atomic Time. The piecewise linear map includes a current leg that is currently being used and also a future leg that will be used in the future. The future leg is computed while the current leg is still being used.

Method and apparatus for maintaining time in a computer system

Techniques are provided for generically controlling one or more resources associated with at least one computing system. In one aspect of the invention, the technique comprises evaluating one or more performance metrics associated with the one or more resources given one or more configurations of the one or more resources. The technique then causes a change in the one or more configurations of the one or more resources based on the performance metric evaluating step. The one or more performance metrics and the one or more configurations are expressed in generic formats.

Methods and systems for control discovery in computing systems

Method for performing dynamic simulations within virtualized environment

Policy driven automation -  specifying equivalent resources

Methods and apparatus for managing computing deployment in presence of variable workload

Techniques for performing adaptive and robust prediction. Prediction techniques are adaptive in that they use a minimal amount of historical data to make predictions, the amount of data being selectable. The techniques are able to learn quickly about changes in the workload traffic pattern and make predictions, based on such learning, that are useful for proactive response to workload changes. To counter the increased variability in the prediction as a result of using minimal history, robustness is improved by checking model stability at every time interval and revising the model structure as needed to meet designated stability criteria. Furthermore, the short term prediction techniques can be used in conjunction with a long term forecaster.

Methods and apparatus for performing adaptive and robust prediction

An updating capability updates a component of a computing environment, while maintaining the availability of the computing environment. In particular, a component of the computing environment which is associated with at least a portion of a unit of work is updated from one version to another version. Subsequently, the updated component emulates the original version, or operates in a compatibility mode, while other components of the computing environment, which are similarly associated with the same unit of work, remain at the original version.

Method, system and program products for operationally migrating a cluster through emulation

A backing out capability backs out a component of a computing environment, while maintaining the availability of the computing environment. In particular, a component of the computing environment which is associated with at least a portion of a unit of work is backed out from one version to another version. In addition, the backed out component is capable of emulating the other version.

Method, system and program products for operationally backing out components of a cluster through emulation

Growing community of inventors

Danbury, CT, United States of America

Steven E Froehlich