International Business Machines Corporation

Nuance Communications, Inc.

Xiaoping Chen

Kirk Malcolm Sexton

Andrew Jason Lavery

Bryan Christopher Chagoly

Howard Milton McKinney

Sandra Lee Tipton

Sara Carlstead Brumfield

Tara Leigh Marshburn

Franck Barillaud

Christopher Michael Morrissey

Byran Christopher Chagoly

Brian C Chagoly

A system and method to allow an individual transaction in an instrumented software application to be monitored according to its own configuration. In one preferred embodiment, each transaction is associated with a token. The token includes the monitoring configuration that should be used for the associated transaction. When the application entry point is reached for the transaction, the token is looked up and retrieved, and the monitoring policy configuration of the token determines what data is gathered about the transaction.

Intelligent performance monitoring based on user transactions

A system, method, and program product is provided that configures video handlers pertaining to a dependent individual. Configuring includes setting alert thresholds. Visual locations are configured. Visual images that pertain to caregivers of the dependent individual are configured. Video streams are received from video sources. Video streams are compared to configured locations to classify the dependent individual's location. Video stream is analyzed to determine whether the dependent individual is alone or with others. If with others, a list of known persons is determined by comparing the video streams with the configured visual images. The configured video handlers are initiated based on the inputs of the location and the people present with the dependent individual. Video handlers trigger alerts when thresholds are reached. Alerts include performing actions to protect the dependent individual from harm.

System and method for pattern based thresholding applied to video surveillance monitoring

A method for graphically representing events at runtime in an event management system is provided. A plurality of events including a first event and a second event are received that define respective states of one or more networked devices. A cause-effect event relation is identified between the first event, the second event, and a projected event responsive to receiving the first and second events. A runtime visualization output is generated that includes a graphical representation of the first event, the second event, the projected event and the event relation.

Generating visualization output of event correlation information

A methodology for balancing demand for networked services in a distributed data processing system is presented. Each client is uniquely associated with a local service manager; one or more local service managers are located throughout a distributed data processing system, and each local service manager provides access to networked services for associated clients. Each local service manager is uniquely associated with a distributed service manager; one or more distributed service managers are located throughout the distributed data processing system, and each distributed service manager provides access to networked services for associated local service managers. A client sends a service request to its local service manager, which returns information about a matching service to the client after finding a matching service that has characteristics that match parameters in the request. If the local service manager does not have information about a matching service, then the request is forwarded to its associated distributed service manager. If the distributed service manager does not have information about a matching service, then the request is broadcast to all distributed service managers. If the distributed service manager has two or more matching services, then it performs a load balancing operation to select a best service to be returned.

Method and system for automatic load balancing of advertised services by service information propagation based on user on-demand requests

A mechanism for managing energy consumption of electrical devices within a home or building. Energy usage data is collected for a first electrical outlet connected to an unidentified electrical device in a facility. A pattern of energy usage is determined from the energy usage data collected at the first electrical outlet. The pattern of energy usage of the first electrical outlet is then compared against known patterns of energy usage for one or more other electrical outlets. Responsive to identifying a match between the pattern of energy usage of the energy usage data collected at the first electrical outlet and a known pattern of energy usage of a second electrical outlet in the one or more other electrical outlets, the electrical device connected to the first electrical outlet is identified as the same electrical device that is associated with the known pattern of energy usage of the second electrical outlet.

Consumer electronic usage monitoring and management

A method and system provides for a single-pass review and feedback of a document. During audio playback of the document to be reviewed, voice-activated recording of feedback and submission of feedback relative to the location in the original document are accomplished. This provides for a fully integrated, single pass review and feedback of documentation to occur.

Integrated system and method for mobile audio playback and dictation

A method of enabling transaction probes used to monitor a transaction or modify a primary application handling the transaction. The method begins with retrieving a token associated with the transaction. The token contains information regarding which transaction probes from a plurality of transaction probes will be enabled with respect to the transaction. The token is then read to determine the set of transaction probes from the plurality of transaction probes that will be enabled. The determined set of transaction probes is then enabled.

Enabling and disabling byte code inserted probes based on transaction monitoring tokens

A network service allocation device is disclosed. The device comprises a probe, a module, and an engine. The device collects performance data relating to the physical characteristics of a distributed data processing system. The module utilizes the performance data to identify two or more node clusters on the distributed data processing system. The engine correlates the node clusters and one or more performance rules as related to the network service to provide a map of node cluster(s) for supporting the network service, or a list of one or more servers within a node cluster for supporting the network service.

Method and system for optimally allocating a network service

A mechanism is provided for just-in-time instrumentation that uses bytecode insertion to modify a class definition to store a reference to the static class information to be used by probes. A hook is inserted to provide a callback to one or more probes. When the bytecode inserted hook is executed, the static class information is used to locate and execute the application probes.

Process and implementation for using byte code insertion to modify a class definition to define and use probes for application components

The present invention addresses the problem of linking cross-process and cross-thread subtransactions into a single user transaction. The mechanism of the present invention employs bytecode inserted probes to dynamically detect out of process correlating tokens in an inbound request. The bytecode inserted probes retrieve the correlating token in the inbound request. Based on the correlating token retrieved, the bytecode inserted probes are then used to dynamically determine if the inbound user request should be recorded and linked to a transaction that began in another thread or process.

Process and implementation for dynamically determining probe enablement using out of process correlating token

A network service allocation device including a probe, a module, and an engine. The device collects performance data relating to the physical characteristics of a distributed data processing system. The module utilizes the performance data to identify two or more node clusters on the distributed data processing system. The engine correlates the node clusters and one or more performance rules as related to the network service to provide a map of node cluster(s) for supporting the network service, or a list of one or more servers within a node cluster for supporting the network service.

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Austin, TX, United States of America

Xiaoping Chen