Abstract: Described are methods, apparatus and computer programs for determining run-time dependencies between logical components of a data processing environment. Components of the data processing environment are monitored by monitoring agents accessing run-time activity data via APIs of the managed system. A dependency generator identifies correlations between the run-time activity of the monitored components. For synchronous monitored systems, the dependency generator calculates an activity period for monitored components and determines which component's activity periods contain the activity periods of other components. Containment is used as an indicator of a likely dependency relationship, and a weighting is computed for each dependency relationship based on the consistency of containment.

Abstract: There is disclosed methods, systems and computer program products for purging stored data in a repository. Users attach relative importance to all data samples across all timeseries in a repository. The importance attached to a data sample is the ‘utility value’ of the data sample. An algorithm uses the utility of data samples and allocates the storage space of the repository in such a way that the total loss of information due to purging is minimized while preserving samples with a high utility value.

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: There is disclosed methods, systems and computer program products for purging stored data in a repository. Users attach relative importance to all data samples across all timeseries in a repository. The importance attached to a data sample is the ‘utility value’ of the data sample. An algorithm uses the utility of data samples and allocates the storage space of the repository in such a way that the total loss of information due to purging is minimized while preserving samples with a high utility value.

Abstract: Disclosed is a management system of a managed system. The management system includes a data sensor layer that interfaces with the managed system to collect raw data. The data sensors in the data sensor layer add semantic tags to the raw data to form tagged data. The semantic tags are maintained throughout the life cycle of the tagged data. The management system further includes a core engine for processing the tagged data based on the semantics tags.

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: Resource-usage profiles for application sessions of a number of client computing devices are generated, by aggregating profiles generated from application sessions running on the client computing devices. In particular, resource-usage information for application sessions is generated as the application sessions are generated within each client computing device of a number of client computing devices. Resource-usage profiles for application programs or application categories are then created based on this resource-usage information. Thus, at least one of the resource-usage profiles is based upon the resource-usage information generated by more than one of the client computing devices. Furthermore, a user may query the resource-usage profiles, so that the user is able to retrieve information regarding a desired application program as run on a number of the client computing devices. Additionally or alternatively, a computer program running on a client computing device may query the resource-usage profiles.

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: Described are methods, apparatus and computer programs for determining run-time dependencies between logical components of a data processing environment. Components of the data processing environment are monitored by monitoring agents accessing run-time activity data via APIs of the managed system. A dependency generator identifies correlations between the run-time activity of the monitored components. For synchronous monitored systems, the dependency generator calculates an activity period for monitored components and determines which component's activity periods contain the activity periods of other components. Containment is used as an indicator of a likely dependency relationship, and a weighting is computed for each dependency relationship based on the consistency of containment.