Abstract: A computing device receives template files and parameters associated with the template files, where the template files comprise scripts, and where the associated parameters comprise a user preference associated with an efficiency of the image. The computing device may determine dependencies between layers of the scripts based on a unified image model. The unified image model may generate a logic tree that includes nodes, where each one of the nodes represents each one of the layers of the scripts. The computing device may generate an efficient logic tree based on the logic tree and the user preference of a generated image model. The generated image model may generates the efficient logic tree by changing the dependencies of the nodes in the logic tree based on the user preference. Based on the generated efficient logic tree the computing device may build the image.

Abstract: A method for automatically detecting and diagnosing problems in computer system functioning includes determining changed objects from computer system monitoring data, calculating temporal correlations from errors and changes sequences for each changed object, identifying and ranking suspicious computer system behavior patterns from the temporal correlations, and outputting said ranked suspicious computer system behavior patterns.

Abstract: A computing device receives template files and parameters associated with the template files, where the template files comprise scripts, and where the associated parameters comprise a user preference associated with an efficiency of the image. The computing device may determine dependencies between layers of the scripts based on a unified image model. The unified image model may generate a logic tree that includes nodes, where each one of the nodes represents each one of the layers of the scripts. The computing device may generate an efficient logic tree based on the logic tree and the user preference of a generated image model. The generated image model may generates the efficient logic tree by changing the dependencies of the nodes in the logic tree based on the user preference. Based on the generated efficient logic tree the computing device may build the image.

Abstract: The scope of the system changes to be considered for analysis for finding problematic changes is reduced in order to allow focusing on highly potential suspicious drifts caused by change sequences. The method and system includes a data cleaning module to remove irrelevant changes, a feature extraction and normalization module to extract the features of change objects, data annotation module to remove irrelevant changes based on patterns, and a clustering module to obtain groups for further analysis. Data cleaning is simplified using domain independent rules. Additional sources of change sequences are removed by application of pattern based techniques so as to narrow down problematic system changes to analyze for root cause analysis. Change error sequence and degree of temporal correlation to correlate system changes with errors, as well as change behavior patterns may be used for downsizing the diagnosis scope.

Abstract: The scope of the system changes to be considered for analysis for finding problematic changes is reduced in order to allow focusing on highly potential suspicious drifts caused by change sequences. The method and system includes a data cleaning module to remove irrelevant changes, a feature extraction and normalization module to extract the features of change objects, data annotation module to remove irrelevant changes based on patterns, and a clustering module to obtain groups for further analysis. Data cleaning is simplified using domain independent rules. Additional sources of change sequences are removed by application of pattern based techniques so as to narrow down problematic system changes to analyze for root cause analysis. Change error sequence and degree of temporal correlation to correlate system changes with errors, as well as change behavior patterns may be used for downsizing the diagnosis scope.

Abstract: A method for automatically detecting and diagnosing problems in computer system functioning includes determining changed objects from computer system monitoring data, calculating temporal correlations from errors and changes sequences for each changed object, identifying and ranking suspicious computer system behavior patterns from the temporal correlations, and outputting said ranked suspicious computer system behavior patterns.