Abstract: A non-transitory, computer readable, storage medium storing a program of instructions executable by a machine to perform a method of gauging a benefit of a tuning action, the method includes acquiring a set of time series data sampled from an environment of an application, using a processor.

Abstract: Dynamically identifying performance anti-patterns in a software system is based on a set of documented symptoms that are evaluated in real-time. The evaluation is based on the observed system behavior and its comparison against the documented symptoms of different types of performance issues.

Abstract: An improvement to the process for identifying software problems in performance testing is achieved by dynamically adjusting workloads in real-time to stress the functionality of an application suspected of causing a software problem.

Abstract: A method for dynamically and adaptively monitoring a system based on its running behavior adjusts monitoring levels of the monitored application in real-time. A rules-based mechanism dynamically adjusts monitoring levels in real-time, based on the system's performance observed during a workload run, whether in a production or test environment.

Abstract: Dynamically identifying performance anti-patterns in a software system is based on a set of documented symptoms that are evaluated in real-time. The evaluation is based on the observed system behavior and its comparison against the documented symptoms of different types of performance issues.

Abstract: Dynamically identifying performance anti-patterns in a software system is based on a set of documented symptoms that are evaluated in real-time. The evaluation is based on the observed system behavior and its comparison against the documented symptoms of different types of performance issues.

Abstract: A computer program product for automatically gauging a benefit of a tuning action. The computer program product including a computer readable storage medium having computer readable program code embodied therewith. The computer readable program code including computer readable program code configured to collect a plurality of observations of a running state of a plurality of threads in a computer system. Computer readable program code configured to identify a plurality of resources of the computer system and a capacity of each resource of the plurality of resources. Computer readable program code configured to map an observation of the running state of each thread of the plurality of threads to a resource that the observation of each thread uses, respectively, and computer readable program code configured to apply the tuning action to a first resource of the plurality of resources to determine an impact on the performance of the computer system.

Abstract: Dynamically identifying performance anti-patterns in a software system is based on a set of documented symptoms that are evaluated in real-time. The evaluation is based on the observed system behavior and its comparison against the documented symptoms of different types of performance issues.

Abstract: An improvement to the process for identifying software problems in performance testing is achieved by dynamically adjusting workloads in real-time to stress the functionality of an application suspected of causing a software problem.

Abstract: A method for dynamically and adaptively monitoring a system based on its running behavior adjusts monitoring levels of the monitored application in real-time. A rules-based mechanism dynamically adjusts monitoring levels in real-time, based on the system's performance observed during a workload run, whether in a production or test environment.

Abstract: A non-transitory, computer readable, storage medium storing a program of instructions executable by a machine to perform a method of gauging a benefit of a tuning action, the method includes acquiring a set of time series data sampled from an environment of an application, using a processor.

Abstract: A method for automatically gauging a benefit of a tuning action. The method including collecting a plurality of observations of a running state of a plurality of threads in a computer system, as executed by a processing in a computer system. Identifying a plurality of resources the computer system and a capacity of each resource of the plurality of resources. Mapping an observation of the running state of each thread of the plurality of threads to a resource that the observation of each thread uses, respectively. Applying the tuning action to a first resource of the plurality of resources to determine an impact on the performance of the computer system.

Abstract: A method for identifying a consumer-producer pattern in a multi-threaded application includes obtaining synchronization event data of the multi-threaded application, and identifying the consumer-producer communication pattern from the synchronization event data.

Abstract: A computer-implemented method for memory access monitoring, implemented by a managed runtime environment computer system including a controller that monitors application behavior and determines actions to be taken to change a behavior of an application, and a runtime, dynamic compiler that analyzes the application and generates code sequences to access a memory access monitoring (MAM) mechanism, includes determining monitor information of a plurality of fields of a memory block to drive an optimization of the application.

Abstract: Identifying computer system markers to understand computer system performance, in one aspect, may comprise identifying a set of executions of applications indicative of computer performance based on first values associated with a first set of artifacts in the set of executions. Two subsets of executions from said identified set of executions are selected based on second values associated with a second set of artifacts in the set of executions. One or more markers are identified by determining one or more third set of artifacts from the two subsets of executions that have an associated third value that is different in a first of the two subsets from a second of the two subsets of executions according to a criterion.

Abstract: There is provided an autonomic software system and method for normalizing a profile collected for an executing application to account for one or more actions applied to the executing application after the profile was collected, comprising: predicting an impact of applying the one or more actions to the executing application by utilizing the profile and the one or more actions; and adjusting the profile to form a normalized profile according to the predicted impact. A plurality of different a profile consumers, such as, a phase shift detector, an action evaluator as well as a normalizing controller, may utilize the normalized profile to improve the behavior of the executing application. In addition, online visualization tools may be implemented to graphically depict the normalized profiles, as well as differences between the collected profiles and the normalized profiles.

Abstract: A computer program product for automatically gauging a benefit of a tuning action. The computer program product including a computer readable storage medium having computer readable program code embodied therewith. The computer readable program code including computer readable program code configured to collect a plurality of observations of a running state of a plurality of threads in a computer system. Computer readable program code configured to identify a plurality of resources of the computer system and a capacity of each resource of the plurality of resources. Computer readable program code configured to map an observation of the running state of each thread of the plurality of threads to a resource that the observation of each thread uses, respectively, and computer readable program code configured to apply the tuning action to a first resource of the plurality of resources to determine an impact on the performance of the computer system.

Abstract: A method for automatically gauging a benefit of a tuning action. The method including collecting a plurality of observations of a running state of a plurality of threads in a computer system, as executed by a processing in a computer system. Identifying a plurality of resources the computer system and a capacity of each resource of the plurality of resources. Mapping an observation of the running state of each thread of the plurality of threads to a resource that the observation of each thread uses, respectively. Applying the tuning action to a first resource of the plurality of resources to determine an impact on the performance of the computer system.

Abstract: A requesting critical wait time of a given resource may be determined. The requesting critical wait time is the time spent by the one or more resources waiting for the given resource, wherein at least one of the resources waiting for the given resource can proceed if access to the given resource is granted. A requested by critical wait time for a resource is determined, the requested by critical wait time being time spent by the resource for waiting solely for the given resource, wherein if the resource were granted access to the given resource, the resource can proceed without further waiting.

Abstract: There is provided an autonomic software system and method for normalizing a profile collected for an executing application to account for one or more actions applied to the executing application after the profile was collected, comprising: predicting an impact of applying the one or more actions to the executing application by utilizing the profile and the one or more actions; and adjusting the profile to form a normalized profile according to the predicted impact. A plurality of different a profile consumers, such as, a phase shift detector, an action evaluator as well as a normalizing controller, may utilize the normalized profile to improve the behavior of the executing application. In addition, online visualization tools may be implemented to graphically depict the normalized profiles, as well as differences between the collected profiles and the normalized profiles.