Abstract: An embodiment includes detecting a set of anomalies recorded during a first predefined window of time in log entries for a computer environment. The embodiment also includes generating cluster data representative of a cluster of anomalies from among the set of anomalies, where the cluster is formed using a lattice clustering algorithm that spatially distinguishes the cluster of anomalies from other anomalies in the set of anomalies. The embodiment also includes composing an explanation using log templates generated from log entries associated with the cluster of anomalies.

Abstract: A method comprises obtaining, from a service management database, one or more change tickets and one or more incident tickets relating to an information technology infrastructure, extracting, from the change tickets and the incident tickets, one or more dimensions indicating potential causality between one or more changes and one or more incidents, identifying configuration items of the information technology infrastructure associated with the one or more changes and the one or more incidents, defining one or more linkages between the one or more changes and the one or more incidents, storing, in the service management database, the defined linkages, building a risk assessment model using the defined linkages, and monitoring subsequent changes to the information technology infrastructure using the risk assessment model.

Abstract: Methods and systems for finding a migration target include building a constrained, layered graph from a catalog of possible configuration combinations and a distance function for each layer in the graph; and determining an available path through the graph, said path having a minimum overall distance from a source instance, by performing an optimized search that selectively evaluates available paths through the graph based on cumulative distances of paths through the graph from the source instance.

Abstract: Evaluating project schedules on a computer system. One or more tasks are identified and corresponding set of deterministic task durations are determined. An initial schedule for completing the tasks is generated based on the deterministic task durations and based on one or more resources. A set of probabilistic durations for the tasks are determined and execution of the tasks is simulated according to the initial schedule based on the set of probabilistic durations.

Abstract: Aspects generate costs for a business plan from normalized cost metric values by mapping (via a processor implementing an automated process) text artifacts of a business plan to different tags that each include a cost as a function of a time period for delivery of a service that is associated with a computer service element. Aspects also generate a summary view cost estimation as a function of the time period, costs of the mapped tags and a geographic region productive factor that is assigned to a region identified as providing delivery of the service that is associated with the computer service element. The summary view cost estimation estimates a total cost of delivering the computing services of the computer service element over time as a function of the normalized, mapped tag cost metrics.

Abstract: As disclosed herein an information technology service ticket characterization method includes receiving tickets from one or more client devices during a time period, determining focus windows within the time period where each focus window includes an event window, identifying tickets received within the focus windows, determining a proportion of identified tickets that are related to a service event, and based on the proportion of identified tickets that are related to the service event, assessing the quality of the service event. A corresponding system and computer program product are also disclosed herein.

Abstract: As disclosed herein an information technology service ticket characterization method includes receiving tickets from one or more client devices during a time period, determining focus windows within the time period where each focus window includes an event window, identifying tickets received within the focus windows, determining a proportion of identified tickets that are related to a service event, and based on the proportion of identified tickets that are related to the service event, assessing the quality of the service event. A corresponding system and computer program product are also disclosed herein.

Abstract: A method for predicting a computerized service delivery organization workload including collecting data of a computer implementing service delivery routine including overlapping samples of load values, overlapping samples of performance values, overlapping samples of event outputs, ticket values and ticket volumes, building a first correlation of said load values with said performance values for predicting new performance values based on new data, building a second correlation of said performance values with said event outputs, said ticket values and said ticket volumes, combining said first and second correlations into a third correlation for correlating said load values with a ticket volume and an event volume, and determining at least one projected event volume or projected ticket volume value using said third correlation and at least one projected load value of said computer.

Abstract: In a source computing system having a source management infrastructure, at least one source infrastructure management component is discovered. A description of a target cloud infrastructure having a target management infrastructure is obtained. The description includes at least one mandatory target infrastructure management component. The at least one source infrastructure management component is analyzed to determine whether at least one conflict exists with the at least one mandatory target infrastructure management component.

Abstract: In a source computing system having a source management infrastructure, at least one source infrastructure management component is discovered. A description of a target cloud infrastructure having a target management infrastructure is obtained. The description includes at least one mandatory target infrastructure management component. The at least one source infrastructure management component is analyzed to determine whether at least one conflict exists with the at least one mandatory target infrastructure management component.

Abstract: A method comprises obtaining, from a service management database, one or more change tickets and one or more incident tickets relating to an information technology infrastructure, extracting, from the change tickets and the incident tickets, one or more dimensions indicating potential causality between one or more changes and one or more incidents, identifying configuration items of the information technology infrastructure associated with the one or more changes and the one or more incidents, defining one or more linkages between the one or more changes and the one or more incidents, storing, in the service management database, the defined linkages, building a risk assessment model using the defined linkages, and monitoring subsequent changes to the information technology infrastructure using the risk assessment model.

Abstract: Methods and systems for finding a migration target include building a constrained, layered graph from a catalog of possible configuration combinations and a distance function for each layer in the graph; and determining an available path through the graph, said path having a minimum overall distance from a source instance, by performing an optimized search that selectively evaluates available paths through the graph based on cumulative distances of paths through the graph from the source instance.

Abstract: Methods and systems for finding a migration target include building a constrained, layered graph from a catalog of possible configuration combinations and a distance function for each layer in the graph; and determining an available path through the graph, said path having a minimum overall distance from a source instance, by performing an optimized search that selectively evaluates available paths through the graph based on cumulative distances of paths through the graph from the source instance.

Abstract: Evaluating project schedules on a computer system. One or more tasks are identified and corresponding set of deterministic task durations are determined. An initial schedule for completing the tasks is generated based on the deterministic task durations and based on one or more resources. A set of probabilistic durations for the tasks are determined and execution of the tasks is simulated according to the initial schedule based on the set of probabilistic durations.

Abstract: In a source computing system having a source management infrastructure, at least one source infrastructure management component is discovered. A description of a target cloud infrastructure having a target management infrastructure is obtained. The description includes at least one mandatory target infrastructure management component. The at least one source infrastructure management component is analyzed to determine whether at least one conflict exists with the at least one mandatory target infrastructure management component.

Abstract: In a source computing system having a source management infrastructure, at least one source infrastructure management component is discovered. A description of a target cloud infrastructure having a target management infrastructure is obtained. The description includes at least one mandatory target infrastructure management component. The at least one source infrastructure management component is analyzed to determine whether at least one conflict exists with the at least one mandatory target infrastructure management component.

Abstract: In a source computing system having a source management infrastructure, at least one source infrastructure management component is discovered. A description of a target cloud infrastructure having a target management infrastructure is obtained. The description includes at least one mandatory target infrastructure management component. The at least one source infrastructure management component is analyzed to determine whether at least one conflict exists with the at least one mandatory target infrastructure management component.

Abstract: A classification system executing on one or more computer systems includes a processor and a memory coupled to the processor. The memory includes a discovery engine configured to navigate through non-volatile memory storage to discover an identity and location of one or more files in one or more computer storage systems by tracing the one or more files from file system mount points through file system objects and to disk objects. A classifier is configured to classify the one or more the files into a classification category. The one or more files are associated with the classification category and stored in at least one data structure. The one or more files are classified using an installed storage driver method. Methods are also provided.

Abstract: Aspects generate costs for a business plan from normalized cost metric values by mapping (via a processor implementing an automated process) text artifacts of a business plan to different tags that each include a cost as a function of a time period for delivery of a service that is associated with a computer service element. Aspects also generate a summary view cost estimation as a function of the time period, costs of the mapped tags and a geographic region productive factor that is assigned to a region identified as providing delivery of the service that is associated with the computer service element. The summary view cost estimation estimates a total cost of delivering the computing services of the computer service element over time as a function of the normalized, mapped tag cost metrics.

Abstract: A selection parameter is applied to a set of risk assessment data and corresponding performance measure data for a completed, or active, project that is similar to a proposed project. Certain combinations of the risk assessment data and corresponding performance measure data are selected for training an optimal predictive model. The predictive model is applied to available data of a proposed project for predicting associated risks, or outcomes, of the proposed project.