Abstract: A system and method for problem determination using probe collections and problem classification for the technical support services monitor and collect data associated with a computer system, raise an alarm based on the monitored and collected data, probe the computer system for additional information, filter the monitored and collected data based on the additional information established from probing, and use the filtered data to label a problem associated with the raised alarm.

Abstract: A system and method of problem determination and resolution utilizes enhanced problem classification, and effectively categorizes any problem a user experiences by leveraging all available data to recognize the specific problem. Historical problem data is labeled with the cause of that problem and is analyzed to learn problem patterns. The historical problem data is classified into a predefined hierarchical structure of taxonomies by using an incremental online learning algorithm. The hierarchical structure and learned patterns are utilized to recognize problems and generate the root cause of the problem when given a new set of monitoring data and log data.

Abstract: A problem determination system and method reduces the time and effort required by system administrators to trouble shot transaction processing difficulties in a large distributed I/T environment by monitoring system component performance and computing operational performance threshold limits based on dependency graphs for the system. Using this data, a prioritized list of suspect components for the I/T system is generated.

Abstract: Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.

Abstract: A system and method for method for assessing configurations includes steps or acts of: receiving configuration data related to configuration items and problem data related to problem tickets; classifying the configuration data into configuration classes; computing a class probability of the configuration classes; associating each configuration class with the problem tickets related to said configuration class; computing a ticket probability distribution of the problem tickets based on number of incidents; evaluating problem ticket characteristics per configuration class to determine a coefficient of trouble value for each configuration class; ranking the configuration classes according to their coefficient of trouble; wherein a highest ranking has the least coefficient of trouble; determining potentially optimal configurations based on the rankings; and providing to a user migration paths corresponding to the potentially optimal configurations.

Abstract: An exemplary method of providing an optimized resolution to a problem in an infrastructure includes a step of determining at least one target configuration of the infrastructure wherein the target configuration is aligned with at least one template. The exemplary method also includes determining at least one resolution to the problem suitable for the at least one target configuration. The exemplary method also includes calculating at least one metric associated with at least one combination of at least one determined target configuration and at least one determined resolution. The exemplary method also includes selecting at least one combination of at least one determined transformation and at least one determined resolution based at least in part on the at least one calculated metric.

Abstract: An exemplary method of determining a target configuration of an infrastructure aligned with a template includes a step of representing the current configuration of the infrastructure as a graph having a plurality of vertices representing elements of the infrastructure and at least one edge representing at least one dependency between the elements, wherein a given element within a set of possible elements for the infrastructure has a set of possible equivalent elements for the given element. The exemplary method also includes a step of finding at least one cut vertex in the graph representing the current configuration of the infrastructure, wherein removal of the cut vertex will split the graph into two sub-graphs as close in size as possible. The method includes a step of, for each element within the set of possible equivalent elements for the cut vertex, replacing the cut vertex with a given element within the set of possible equivalent elements for the cut vertex.

Abstract: An exemplary method (which can be computer implemented) for problem determination and resolution includes the steps of detecting anomalous changes in an environment for which a problem diagnosis is to be provided, generating domain specific key words and predicates based, at least in part, on the detected anomalous changes, searching in a knowledge resolution repository for solutions related to the generated key words and predicates, and generating a particular solution for the problem, based, at least in part, on the solutions from the knowledge resolution repository

Abstract: A problem determination system and method reduces the time and effort required by system administrators to trouble shot transaction processing difficulties in a large distributed I/T environment by monitoring system component performance and computing operational performance threshold limits based on dependency graphs for the system. Using this data, a prioritized list of suspect components for the I/T system is generated.

Abstract: A problem determination system and method reduces the time and effort required by system administrators to trouble shot transaction processing difficulties in a large distributed I/T environment by monitoring system component performance and computing operational performance threshold limits based on dependency graphs for the system. Using this data, a prioritized list of suspect components for the I/T system is generated.

Abstract: Techniques are provided for automatically discovering one or more features in free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, wherein the data comprises one or more data items, applying a label to each data item, using the labeled data to build a language model, wherein a word distribution associated with each label can be derived from the model, and using the word distribution associated with each label to discover one or more features in the data, wherein discovering one or more features in the data facilitates one or more operations that use at least a portion of the labeled data.

Abstract: Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.

Abstract: A method of identifying at least one resource in a distributed computing system which is a potential root cause of performance degradation of the system includes the steps of: computing operational bounds for the system and operational bounds for at least one resource in the system; comparing current end-to-end system performance with the operational bounds for the system; when the current end-to-end system performance is outside of the operational bounds for the system, comparing current performance of the at least one resource in the system with the operational bounds for the at least one resource; and generating at least one output identifying the at least one resource in the system which is a potential root cause of performance degradation of the system.

Abstract: A method of identifying at least one resource in a distributed computing system which is a potential root cause of performance degradation of the system includes the steps of: computing operational bounds for the system and operational bounds for at least one resource in the system; comparing current end-to-end system performance with the operational bounds for the system; when the current end-to-end system performance is outside of the operational bounds for the system, comparing current performance of the at least one resource in the system with the operational bounds for the at least one resource; and generating at least one output identifying the at least one resource in the system which is a potential root cause of performance degradation of the system.

Abstract: A method of identifying at least one resource in a distributed computing system which is a potential root cause of performance degradation of the system includes the steps of: computing operational bounds for the system and operational bounds for at least one resource in the system; comparing current end-to-end system performance with the operational bounds for the system; when the current end-to-end system performance is outside of the operational bounds for the system, comparing current performance of the at least one resource in the system with the operational bounds for the at least one resource; and generating at least one output identifying the at least one resource in the system which is a potential root cause of performance degradation of the system.

Abstract: A problem determination system and method reduces the time and effort required by system administrators to trouble shot transaction processing difficulties in a large distributed I/T environment by monitoring system component performance and computing operational performance threshold limits based on dependency graphs for the system. Using this data, a prioritized list of suspect components for the I/T system is generated.