International Business Machines Corporation

Srirama Mandyam Krishnakumar

Liana Liyow Fong

Gregory Brian Pruett

Vijay Krishnarao Naik

John Arthur Pershing, Jr

Tushar Deepak Chandra

Ofer Biran

William Francis Jerome

Ben-Ami Yassour

Richard Edwin Harper

Joseph L Hellerstein

Mark Steven Squillante

Donald Philip Pazel

German Sergio Goldszmidt

Yariv Aridor

John Joseph Edward Turek

W Nathaniel Mills, Iii

Karen Appleby

Sameh Afif Fakhouri

Kenneth Bruce MacKenzie

LeRoy Albert Krueger, Jr

Ahmed-Sameh Afif Fakhouri

Bruce Kenneth Mackenzie

Ben-Ami c/o Ibm United Kingdom Limited Yassour

Power and redundancy management policies are applied individually to the tiers of redundant servers of an application service such that power is reduced while maintaining a high level of system availability. Servers which are determined to be relatively inactive are moved to a free pool. Certain servers of the free pool are maintained in a hot standby state, while others are powered-off or set to operate in a low power mode. During times of high load, the servers in the hot standby state can be provisioned quickly into the application service.

Automated power control policies based on application-specific redundancy characteristics

Techniques for use in accordance with application performance decomposition are provided which take advantage of the communications protocol used to carry a transaction between application components in a distributed computing network. Specifically, the invention extends the communications protocol by embedding data, such as timestamp and duration measurement data, in the protocol itself, rather than extending or altering the application or transaction data carried by the protocol as in existing approaches. Thus, the invention provides natural correlation of interactions of distributed application components on such transactions without modification to the application or transaction data. Because the correlation is performed in-line with the application component interactions, minimal data management overhead is required, and correlated performance decomposition is made possible in real-time for the transaction. Furthermore, subsequent processing stages of the distributed application can interpret the communications protocol to glean processing durations of previous stages in order to make decisions regarding treatment of the transaction.

Method and system for embedding correlated performance measurements for distributed application performance decomposition

A computer-implemented framework and method for managing application complexes comprising multiple tiers of servers, where servers in a common tier run an identical application and servers in different tiers run different applications, and all the servers work together to provide a specific service, the application complex being definable via an application complex type. The framework has a plugin interface adapted for connection to the framework of a plugin in respect of each application complex type, the plugin encapsulating a relationship between disparate resources composing the respective application complex type and respective characteristics of said resources. A user interface in the framework provides general tasks that are independent of operational semantics of the application complex and is responsive to user operations for interfacing with the framework for defining an instance of the application complex and allowing the user to populate the application complex with servers.

Method for managing multi-tier application complexes

A method (and structure) in a computer network of controlling the admittance of requests to at least one processing component, includes differentiating the type of received requests based on the message content in each request. Each request is admitted only if the differentiated type meets at least one criterion for admission.

Method, system, and program products for distributed content throttling in a computing environment

The number of instances of an application running in a computing environment are controlled by monitoring the current load on the application, and altering the current number of instances of the application based on results of the monitoring. The load may be monitored by monitoring the current number of instances of the application running in the computing environment. Where a maximum, minimum and/or initial number on startup, of instances of the application are specified, the altering is done based on comparing the current number to one or more of the specified numbers of instances.

Controlling a number of instances of an application running in a computing environment

Resources are checkpointed in order to save the state of the resources. The resources can then be brought back to the same running state, during a restart procedure, by making use of the saved state. The determination of when to take a checkpoint or when to restart a resource is made by an entity, such as a cluster manager, external to the entity initiating or taking the checkpoint or performing the restart. The decision to checkpoint/restart a resource is provided by the cluster manager to a resource manager associated with the resource. This communication is facilitated by interfaces to the cluster manager provided by the resource manager.

Method, system and program products for managing the checkpointing/restarting of resources of a computing environment

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White Plains, NY, United States of America

Srirama Mandyam Krishnakumar