Abstract: A computer system includes a processor, a memory, a data collector, a relationships analyzer, and a topological map generator. The data collector retrieves performance data in a specific set of performance categories for computing resources in a computing system for a time interval. The relationships analyzer, for each computing resource-to-computing resource pair in the computing system, performs a correlation analysis of the respective behavior values of the computing resources in the pair, and identifies the computing resource-to-computing resource pairs that have correlation values exceeding a pre-determined threshold level as having performance interdependencies. The topological map generator prepares an undirected graph of the computing resources that have performance interdependencies, and displays the undirected graph as a topographic map of the computing resources in the computing system.

Abstract: A computer system includes a processor, a memory, a data collector, a relationships analyzer, and a topological map generator. The data collector retrieves performance data in a specific set of performance categories for computing resources in a computing system for a time interval. The relationships analyzer, for each computing resource-to-computing resource pair in the computing system, performs a correlation analysis of the respective behavior values of the computing resources in the pair, and identifies the computing resource-to-computing resource pairs that have correlation values exceeding a pre-determined threshold level as having performance interdependencies. The topological map generator prepares an undirected graph of the computing resources that have performance interdependencies, and displays the undirected graph as a topographic map of the computing resources in the computing system.

Abstract: A computer system includes a processor, a memory, a data collector, a relationships analyzer, and a topological map generator. The data collector retrieves performance data in a specific set of performance categories for computing resources in a computing system for a time interval. The relationships analyzer, for each computing resource-to-computing resource pair in the computing system, performs a correlation analysis of the respective behavior values of the computing resources in the pair, and identifies the computing resource-to-computing resource pairs that have correlation values exceeding a pre-determined threshold level as having performance interdependencies. The topological map generator prepares an undirected graph of the computing resources that have performance interdependencies, and displays the undirected graph as a topographic map of the computing resources in the computing system.

Abstract: Detection of anomalous events in the operation of information technology (IT) components includes receiving messages, which describe events in the operation of the IT components in real time, and categorizing and condensing the messages received in a first time interval into message patterns by message pattern type. Based on a distribution of occurrences of the message patterns in the first time interval and in preceding time intervals, anomaly scores are assigned to the message patterns, and one or more of the message patterns are classified as being anomalous message patterns that correspond to potentially anomalous events in the operation of the IT infrastructure installation. A degree of correlation between occurrences of the anomalous message patterns and occurrences of application alarms is determined. Message patterns with high anomaly scores and having a high degree of correlation with application alarms are deemed significant and prioritized for display to users.

Abstract: A computer system includes a processor, a memory, a data collector, a relationships analyzer, and a topological map generator. The data collector retrieves performance data in a specific set of performance categories for computing resources in a computing system for a time interval. The relationships analyzer, for each computing resource-to-computing resource pair in the computing system, performs a correlation analysis of the respective behavior values of the computing resources in the pair, and identifies the computing resource-to-computing resource pairs that have correlation values exceeding a pre-determined threshold level as having performance interdependencies. The topological map generator prepares an undirected graph of the computing resources that have performance interdependencies, and displays the undirected graph as a topographic map of the computing resources in the computing system.

Abstract: Detection of anomalous events in the operation of information technology (IT) components includes receiving messages, which describe events in the operation of the IT components in real time, and categorizing and condensing the messages received in a first time interval into message patterns by message pattern type. Based on a distribution of occurrences of the message patterns in the first time interval and in preceding time intervals, anomaly scores are assigned to the message patterns, and one or more of the message patterns are classified as being anomalous message patterns that correspond to potentially anomalous events in the operation of the IT infrastructure installation. A degree of correlation between occurrences of the anomalous message patterns and occurrences of application alarms is determined. Message patterns with high anomaly scores and having a high degree of correlation with application alarms are deemed significant and prioritized for display to users.

Abstract: The system may include a troubleshooting activity recorder configured to record troubleshooting sessions. Each troubleshooting session may include a sequence of queries and query results. The troubleshooting activity recorder may include a query transformer configured to transform the queries and the query results into transformed queries and transformed query results before recording the troubleshooting sessions. The troubleshooting activity recorder may be configured to record the transformed queries and the transformed query results as troubleshooting session information in a troubleshooting activity database. The system may include a troubleshooting pattern learning unit including a graph builder configured to generate a troubleshooting pattern graph having query nodes and links between the query nodes based on the troubleshooting session information.

Abstract: The present description refers to a computer implemented method, computer program product, and computer system for identifying a service metric associated with a service, identifying one or more abnormalities of one or more infrastructure metrics that occur within a time window around an abnormality of the service metric, determining a set of candidate infrastructure metrics for the service metric based on how many times an abnormality of an infrastructure metric occurred within a time window around an abnormality of the service metric, determining a degree of lag correlation for each candidate infrastructure metric with respect to the service metric, selecting one or more candidate infrastructure metrics having a degree of lag correlation that exceeds a threshold to be a leading indicator infrastructure metric for the service metric, and providing a performance degradation warning for the service when an abnormality of one of the leading indicator infrastructure metrics is detected.

Abstract: Systems and methods for enriching events using data correlation are described herein. At least some embodiments include a method for enriching events reflecting the state of a plurality of computer systems, the method including storing a plurality of event messages and system metric data that includes service metric data, determining a degree of correlation between a system metric and at least one of a plurality of service metrics, and enriching an event message of the plurality of event messages based at least in part on the degree of correlation. At least one system metric data value triggers the event message. The degree of correlation is based at least in part on the system metric data and the service metric data.

Abstract: The system may include a troubleshooting activity recorder configured to record troubleshooting sessions. Each troubleshooting session may include a sequence of queries and query results. The troubleshooting activity recorder may include a query transformer configured to transform the queries and the query results into transformed queries and transformed query results before recording the troubleshooting sessions. The troubleshooting activity recorder may be configured to record the transformed queries and the transformed query results as troubleshooting session information in a troubleshooting activity database. The system may include a troubleshooting pattern learning unit including a graph builder configured to generate a troubleshooting pattern graph having query nodes and links between the query nodes based on the troubleshooting session information.

Abstract: A baseline adjusting technique allows automatically adjust the baselines of metrics affected by a configuration change a monitored system. If a configuration change is detected, a performance management system retrieves linkages between the changed configuration parameter and one or more metrics. The performance management system then adjusts the baselines of the metric using the baseline adjusting algorithm retrieved from the linkage.

Abstract: The present description refers to a computer implemented method, computer program product, and computer system for identifying a service metric associated with a service, identifying one or more abnormalities of one or more infrastructure metrics that occur within a time window around an abnormality of the service metric, determining a set of candidate infrastructure metrics for the service metric based on how many times an abnormality of an infrastructure metric occurred within a time window around an abnormality of the service metric, determining a degree of lag correlation for each candidate infrastructure metric with respect to the service metric, selecting one or more candidate infrastructure metrics having a degree of lag correlation that exceeds a threshold to be a leading indicator infrastructure metric for the service metric, and providing a performance degradation warning for the service when an abnormality of one of the leading indicator infrastructure metrics is detected.

Abstract: Systems and methods for enriching events using data correlation are described herein. At least some embodiments include a method for enriching events reflecting the state of a plurality of computer systems, the method including storing a plurality of event messages and system metric data that includes service metric data, determining a degree of correlation between a system metric and at least one of a plurality of service metrics, and enriching an event message of the plurality of event messages based at least in part on the degree of correlation. At least one system metric data value triggers the event message. The degree of correlation is based at least in part on the system metric data and the service metric data.

Abstract: A baseline adjusting technique allows automatically adjust the baselines of metrics affected by a configuration change a monitored system. If a configuration change is detected, a performance management system retrieves linkages between the changed configuration parameter and one or more metrics. The performance management system then adjusts the baselines of the metric using the baseline adjusting algorithm retrieved from the linkage.

Abstract: This disclosure is directed to a high solid, low viscosity carbonless paper gelatin base microcapsule system producing microcapsules having sizes characteristically from about 3 to about 10 microns (micrometers) and being characterized as single oil drop microcapsules. This system of microcapsules is further characterized by a high solids content, viz., from about 25 to about 50 weight percent solids, in combination with a low viscosity, viz., ranging from about 10 to about 60 centipoises and having a high microcapsule payload (core concentration by weight based on total capsule weight), e.g., of 80+wt. % and preferbly about 90 weight percent and higher, in aqueous suspensions. The combination of high solid content and high microcapsule payload, with low viscosity enables delivery of a high concentration of solid microcapsules at reasonably high coating speeds via comparatively inexpensive conventional pumping systems and paper coating systems.

Abstract: This disclosure is directed to a high solid, low viscosity carbonless paper gelatin base microcapsule system producing microcapsules having sizes characteristically from about 3 to about 10 microns (micrometers) and being characterized as single oil drop microcapsules. This system of microcapsules is further characterized by a high solids content, viz., from about 25 to about 50 weight percent solids, in combination with a low viscosity, viz., ranging from about 10 to about 60 centipoises and having a high microcapsule payload (core concentration by weight based on total capsule weight), e.g., of 80+ wt. % and preferably about 90 weight percent and higher, in aqueous suspensions. The combination of high solid content and high microcapsule payload, with low viscosity enables delivery of a high concentration of solid microcapsules at reasonably high coating speeds via comparatively inexpensive conventional pumping systems and paper coating systems.

Abstract: This disclosure is directed to the preparation of dry microencapsulated product, having an oily core material with microcapsule cell wall materials having a first cell wall of gelatin/polyvinyl methylether maleic anhydride copolymer (PVMMA)/carboxymethylcellulose (CMC) which is prehardened (cross-linked) with a material selected from the group consisting of formaldehyde, glyoxal and glutaraldehyde to which there is grafted formaldehyde and resorcinol which is then crosslinked with formaldehyde and urea, and aqueous formulations containing them. Approximately 97% of these microcapsules have a size less than 100 and more characteristically having a particle size peak distribution of 30 to 40 microns (microcapsular diameter). These microcapsules contain less than approximately 3 wt. % free oil and more characteristically less than about 1 wt.

Abstract: Microcapsules are prepared en masse which contain a substantially water-insoluble core and, incorporated at their surface under a thin film of hydrophilic polymeric colloid, a substantially water insoluble finely divided additive. In the preparation, a primary microcapsule is made in an aqueous vehicle to surround the water-insoluble core, the finely divided additive is then added under stirring to form a fine dispersion and cationic hydrophilic polymeric colloid solution is added to cause the colloid to envelop the additive and deposit it on the capsule wall under a thin film.