International Business Machines Corporation

Lenovo (singapore) Pte. Ltd.

Hoi Yeung Chan

Jeffrey Owen Kephart

Trieu Can Chieu

David W Levine

Rajarshi Das

Canturk Isci

Michael H Kalantar

Thomas Gschwind

James Edwin Hanson

Florian Rosenberg

Lakshminaraya Renganarayana

Lawrence Shungwei Mok

Achille Belly Fokoue-Nkoutche

Isabelle Marie Rouvellou

Alla Segal

Louis Degenaro

Mark Holmes Linehan

Thomas Y Kwok

Judah M Diament

Thomas Yu-Kiu Kwok

Samuel Monk Weber

Fred Tze-Keung Tong

Charles A Kerr, Jr

Arvind Rajpurohit

Vinod Kamath

David Michael Chess

Ian N Whalley

Steve Richard White

Paul Michael Matchen

William Carlisle Arnold

Sharon Louise Greene

Benjamin Nathan Grosof

Charles Albert Kerr

Benjamin N Grosof

Various embodiments manage deployable computing environments. In one embodiment, a system model of a computing environment that includes a set of computing resources is analyzed. The system model at least describes properties of each of the set of computing nodes and identifies a plurality of configuration operations to be executed by each of the set of computing nodes during deployment. A set of dependency information is generated for each of the set of computing nodes based on analyzing the system model. The set of dependency information identifies at least one dependency between two or more of the plurality of configuration operations. An executable coordination operation is added to each of the plurality of configuration operations. The executable coordination operation automatically coordinates execution of the plurality of configuration operations on the computing node.

Implicit coordination for deployment of computing systems using a data sharing service

A high availability system in a cloud computing environment includes a snapshot manager disposed in a mirror environment having at least one computer server and a plurality of virtual machines disposed in a production environment. Each of the plurality of virtual machines includes a snapshot agent configured to perform a method. The method includes periodically taking snapshots of the virtual machine associated with the snapshot agent, determining a delta image based on a change between a current snapshot and a previous snapshot, removing previous snapshots in the virtual machine and transmitting the delta image to the snapshot manager. The snapshot manager is configured to store a recovery image for each of the plurality of virtual machines and to merge the received delta image with the recovery image to update the recovery image.

High availability for cloud servers

A system method and computer program product for managing readiness states of a plurality of computing devices. In response to a request, a computer system operates to either: provide one or more computing devices from an inactive pool to an active pool, or accept one or more active computing devices into the inactive pool. An Inactive Pool Manager proactively manages the inactive states of each computing device by: determining the desired number (and identities) of computing devices to be placed in each inactive state of readiness by solving a constraint optimization problem that describes a user-specified trade-off between expected readiness (estimated time to be able to activate computing devices when they are needed next) and conserving energy; generating a plan for changing the current set of inactive states to the desired set; and, executing the plan. Multiple alternative ways of quantifying the desired responsiveness to surges in demand are provided.

Saving power by managing the state of inactive computing devices according to specific constraints

Managing readiness states of a plurality of computing devices. A programmed processor unit operates, upon receipt of a request, to: provide one or more computing devices from an inactive pool to an active pool, or accept one or more active computing devices into the inactive pool. The system proactively manages the inactive states of each computing device by: determining the desired number (and identities) of computing devices to be placed in each inactive state of readiness by solving a constraint optimization problem that describes a user-specified trade-off between expected readiness (estimated time to be able to activate computing devices when they are needed next) and conserving energy; generating a plan for changing the current set of inactive states to the desired set; and, executing the plan. Multiple alternative ways of quantifying the desired responsiveness to surges in demand are provided.

Method for saving power in a system by placing inactive computing devices in optimized configuration corresponding to a specific constraint

A system method and computer program product for managing readiness states of a plurality of computing devices. A programmed processor unit operates, upon receipt of a request, to either: provide one or more computing devices from an inactive pool to an active pool, or accept one or more active computing devices into the inactive pool. An Inactive Pool Manager proactively manages the inactive states of each computing device by: determining the desired number (and identities) of computing devices to be placed in each inactive state of readiness by solving a constraint optimization problem that describes a user-specified trade-off between expected readiness (estimated time to be able to activate computing devices when they are needed next) and conserving energy; generating a plan for changing the current set of inactive states to the desired set; and, executing the plan. Multiple alternative ways of quantifying the desired responsiveness to surges in demand are provided, and, in each case, the tradeoff between responsiveness and power savings is formulated as an objective function with constraints, and the desired number of devices in each inactive state emerges as the solution to a constraint optimization problem.

Saving power by placing inactive computing devices in optimized configuration corresponding to a specific constraint

A system and method for testing a self configuring computer which includes a computer system. Sensors electrically communicating with respective electrical connectors in the computer system. The sensors detecting when the electrical connector has a change of status from a previous start up. The sensor indicating a state change when the connector has a change of status. The computer system electrically communicating with the sensor for detecting the sensor state. The computer system initiating a power up and a self test of the connector and a new device connected to the connector using the program upon start up of the computer system when a change in the state of the sensor indicates a change in the status of the connector. The computer system by-passing a power up and self test of the connector when there is no change in the state of the sensor.

System to reduce the time and complexity of self configuring systems

A method and system of predicting a maintenance schedule and estimating a cost for warranty service of systems, for example, hardware systems, is provided. The method and system in one aspect may collect component usage data and obtain component reliability data for each of the plurality of components. A component life distribution module (CLDM) may be constructed based on the real time component usage data and the component reliability data, and from CLDM a mean time to fail data may be obtained. A system life distribution model (SLDM) may be selected and the mean time to fail data input into the SLDM to obtain an operating environment index that represents the effect of environment conditions on the lifetime and reliability. A maintenance schedule may be predicted and an adjusted cost of warranty service may be calculated based on the operating environment index for each of the plurality of components.

System to improve predictive maintenance and warranty cost/price estimation

A system and method for autonomic problem determination. Events and problems associated with the events are received from a computing resource and are expressed as entries in an event-problem matrix. Expert knowledge is expressed as entries in one or more multi-level structure dictionaries. The system and method enables dynamic interaction between the events in the matrix and the current dictionaries with its entries being updated continuously to maximize correlation among the events and problems. The index of each term in the dictionary is used to calculate the weight of each event in the matrix wherein events having frequent association with a specific problem will be given a higher weight in the matrix. Using singular value decomposition (SVD), the weighted events enable an accelerated and accurate convergence to a set of specific associated problems. Feedback, responsive to the output of the problem determination, is provided to trigger the recalculation of the index of each associated term in the dictionaries, resulting in gradual evolution of the dictionaries to accumulate expert knowledge.

Adaptive multi-levels dictionaries and singular value decomposition techniques for autonomic problem determination

A statistical approach implementing Singular Value Decomposition (SVD) to a policy-based management system for autonomic and on-demand computing applications. The statistical approach empowers a class of applications that require policies to handle ambiguous conditions and allow the system to 'evolve' in response to changing operation and environment conditions. In the system and method providing the statistical approach, observed event-policy associated data, which is represented by an event-policy matrix, is treated as a statistical problem with the assumption that there are some underlying or implicit higher order correlations among events and policies. The SVD approach enables such correlations to be modeled, extracted and modified. From these correlations, recommended policies can be selected or created without exact match of policy conditions. With a feedback mechanism, new knowledge can be acquired as new situations occur and the corresponding policies to manage them are recorded and used to generate new event and policy correlations. Consequently, based on these new correlations, new recommended policies can be derived.

Policy-based management system with automatic policy selection and creation capabilities by using singular value decomposition technique

A system and method are provided to establish trust between a user and a policy system that generates recommended actions in accordance with specified policies. Trust is introduced into the policy-based system by assigning a value to each execution of each policy with respect to the policy-based system, called the instantaneous trust index. The instantaneous trust indices for each one of the policies, for the each execution of a given policy or for both are combined into the overall trust index for a given policy or for a given policy-based system. The recommended actions are processed in accordance with the level or trust associated with a given policy as expressed by the trust indices. Manual user input is provided to monitor or change the recommended actions. In addition, reinforcement learning algorithms are used to further enhance the level of trust between the user and the policy-based system.

System to establish trust between policy systems and users

A method, system and computer readable medium for maximizing the performance of a computer system that includes at least one computing unit. Temperature and location data for each computing unit is received by a server unit and the location of each computing unit within a given environment is reevaluated and revised to maximize the overall performance of the computer system.

Computer system performance estimator and layout configurator

In one embodiment, a method comprises creating at least one individualized language resource, creating at least one individualized language rule referencing at least one of said individualized language resource, and transforming said at least one individualized language rule into computer executable format.

Methods and apparatus for business rules authoring and operation employing a customizable vocabulary

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Stamford, CT, United States of America

Hoi Yeung Chan