International Business Machines Corporation

Chun-Shi Chang

Felipe Knop

Michael D Swanson

Mythili K Bobak

Tim A McConnell

Frank Bernhard Schmuck

Tseng-Hui Lin

Dinesh C Verma

Sambit Sahu

Dinakaran B Joseph

Lap Thiet Huynh

Michael E Baskey

Michael D Williams

Jeffrey S Lucash

Reinhard Theodor Buendgen

Peter Richard Badovinatz

Juergen P Schneider

Thomas Lumpp

Dennis Duane Jurgensen

John K Alex

Rong-Sheng Lee

Orvalle Theodore Kirby

Gregory D Laib

Steven E Froehlich

Sameh Afif Fakhouri

Timothy L Race

A system and method for monitoring liveliness includes a management device which has an application layer where applications are executed. A connection monitor is located other than on the application layer, and the connection monitor is configured to receive requests from clients and deliver the requests to components on the application layer. The components include a generic application monitor which responds to liveliness monitor requests from the clients for all applications monitored, and one or more applications which response to requests to that application.

Method and system for generic application liveliness monitoring for business resiliency

An autonomic computing system and method determine that a desired end state cannot be reached, determine that an acceptable sub-state can be reached using at least one of priority ratings, conditional relationship specifications, and alternative relationship specifications, and place the computing system in an acceptable sub-state. The priority ratings can contain an attribute assigned to a policy definition that determines a sequence for applying the policy definition. The attribute can be 'mandatory', a numerical value, or 'not required'. The conditional relationship specifications have policy definitions that are applied when the state of a specified resource meets a predetermined requirement. An alternative relationship specification has policy definitions and/or conditional relationship specifications that are applied when the state of a specified resource does not meet a predetermined requirement.

Policy driven autonomic computing-programmatic policy definitions

Real-time data of business applications of an Information Technology environment is monitored to obtain information to be used in managing the environment. A business application includes processing collectively performed by a plurality of components of the environment. A component includes one or more resources, and therefore, in one example, the real-time data being monitored is associated with those resources.

Real-time information technology environments

Programmatically adapting an Information Technology (IT) environment to changes associated with business applications of the IT environment. The programmatically adapting is performed in the context of the business application. The changes can reflect changes in the IT environment, changes to the business application, changes to the business environment and/or failures within the environment, as examples.

Adaptive business resiliency computer system for information technology environments

Management of an Information Technology (IT) environment is conditionally controlled based on runtime analysis of resource pairing constructs. Resource pairings are provided, and evaluated based on the current state of the environment. This real-time information is then used in performing managerial tasks, the results of which are effected by the runtime conditions.

Conditional computer runtime control of an information technology environment based on pairing constructs

Recovery Segments are defined and employed to facilitate management of a customer's environment. A Recovery Segment is a runtime usable representation of resources and relationships between those resources associated with a business application. That representation is usable in managing the business application. Associated with the representation is one or more goals to be met by resources of the representation.

Recovery segments for computer business applications

Programmatically validating service level policies established for business applications of an Information Technology environment. The programmatic validation predicts whether the policies are achievable within the environment. Examples of service level policies include quantitative goals, redundancy levels and resource use.

Programmatic validation in an information technology environment

The determination of node and/or adapter liveness in a distributed network data processing system is carried out via one messaging protocol that can be assisted by a second messaging protocol which is significantly less susceptible to delay, especially memory blocking delays encountered by daemons running on other nodes. The switching of protocols is accompanied by controlled grace periods for needed responses. This messaging protocol flexibility is also adapted for use as a mechanism for controlling the deliberate activities of node addition (birth) and node deletion (death).

Computer program product using two different programs to determine state of a network node to eliminate message response delays in system processing

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 -  specifying equivalent resources

A solution for managing a computer infrastructure is provided. In particular, the solution can generate a set of tentative recovery segments for the computer infrastructure based on a related resource graph and a set of partition rules. The related resource graph can be generated based on a managed resource graph, which includes resource type information for each node in the managed resource graph. The set of tentative recovery segments can be used to manage the computer infrastructure and/or a set of recovery segments, which includes recovery characteristic(s) for each segment can be generated based on the set of tentative recovery segments and a set of recovery segment templates. In any event, the invention provides a solution that fully and/or partially automates the identification of recovery segments within a computer infrastructure, thereby enabling a more effective management of the computer infrastructure.

Recovery segment identification in a computing infrastructure

An autonomic computing system and method determine policy definitions () and a set of available actions (); monitor resources distributed within the system; determine if the system is at a desired end state; and modify resource states by sending instructions for the resources to perform available actions. The policy definitions () specify: start order between resources, prioritization between resources, conditional activation of policies, desired end state of resources, and location limitation of resources. The system and method receive status information from available resources, and monitor and modify the system until it reaches the desired end state. The policy definitions () can be determined by specifying a user-defined system end state and resource relationships. The policy definitions () can further harvest implicit relationships between resources, via self-discovery, and underlying relationships among resources.

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Poughkeepsie, NY, United States of America

Chun-Shi Chang