Abstract: A method and system for automatically integrating component logs is provided. The method includes retrieving from a software application, high level log identification values representing transactions executed by the software application. Compiled machine language identification values representing compiled code associated with the software application and the hardware device are retrieved from an agent and a high level log identification value of the high level log identification values is identified. The high level log identification value is associated with an instruction set processed by a central processing unit (CPU). An instruction set identification value is correlated with the compiled machine language identification values. The compiled machine language identification values are converted into decompiled machine language identification values and the decompiled machine language identification values are correlated with log levels associated with the high level log identification values.

Abstract: An expert system extracts events associated with executing an application from log files generated by various topological resources in a distributed computing environment. The events are plotted as plot points on a time series graph. Patterns are identified in the plot points that are associated with application problems, along with the computing environment configurations both before the problem and after the problem was resolved. The difference in the configurations represents a corrective action for the application problem, and the expert system links the corrective action to the pattern. When a pattern repeats in conjunction with another application problem, the corrective action is identified as a possible solution to the new problem. A confidence level associated with the pattern/corrective action may be increased when a user accepts the corrective action and may be decreased when a user rejects the corrective action.

Abstract: An expert system extracts events associated with executing an application from log files generated by various topological resources in a distributed computing environment. The events are plotted as plot points on a time series graph. Patterns are identified in the plot points that are associated with application problems, along with the computing environment configurations both before the problem and after the problem was resolved. The difference in the configurations represents a corrective action for the application problem, and the expert system links the corrective action to the pattern. When a pattern repeats in conjunction with another application problem, the corrective action is identified as a possible solution to the new problem. A confidence level associated with the pattern/corrective action may be increased when a user accepts the corrective action and may be decreased when a user rejects the corrective action.

Abstract: An expert system extracts events associated with executing an application from log files generated by various topological resources in a distributed computing environment. The events are plotted as plot points on a time series graph. Patterns are identified in the plot points that are associated with application problems, along with the computing environment configurations both before the problem and after the problem was resolved. The difference in the configurations represents a corrective action for the application problem, and the expert system links the corrective action to the pattern. When a pattern repeats in conjunction with another application problem, the corrective action is identified as a possible solution to the new problem. A confidence level associated with the pattern/corrective action may be increased when a user accepts the corrective action and may be decreased when a user rejects the corrective action.

Abstract: A method and associated systems for the environmentally aware load-balancing of components of a multi-component power-consuming system. The environmentally aware load-balancer receives continually updated values from at least two environmental sensors that monitor and report the values of environmental metrics that characterize components of the power-consuming system and the environments within which those components are located. When the load-balancer receives a task request directed to the power-consuming system, the load-balancer selects a balanced workload allocation as a function of the values of the received environmental metrics and communicates that balanced workload allocation to a routing mechanism. The routing mechanism then uses the communicated balanced workload allocation to determine which component or components of the power-consuming system should receive the task request.

Abstract: A method and associated systems for the environmentally aware load-balancing of components of a multi-component power-consuming system. The environmentally aware load-balancer receives continually updated values from at least two environmental sensors that monitor and report the values of environmental metrics that characterize components of the power-consuming system and the environments within which those components are located. When the load-balancer receives a task request directed to the power-consuming system, the load-balancer selects a balanced workload allocation as a function of the values of the received environmental metrics and communicates that balanced workload allocation to a routing mechanism. The routing mechanism then uses the communicated balanced workload allocation to determine which component or components of the power-consuming system should receive the task request.