Abstract:
Embodiments in accordance with the present invention disclose a method, computer program product, and system for optimizing performance of a computer backup solution that includes at least two data movers. The automated method includes measuring data mover performance during operation of a backup cycle, and optimizing the performance of data movers by increasing or decreasing the number of threads operating concurrently in the data movers. The method further includes computation of performance rankings of the data movers and shifting workload among the data movers in accordance with their respective performance rankings, such that the computer backup solution converges toward an optimized configuration.
Abstract:
An information processing apparatus includes: a reach-extent extraction unit configured to extract, with use of a relationship graph representing relationships between a plurality of elements included in a system and location information that indicates, on the relationship graph, a plurality of locations in the system where anomalies have been detected, paths in the relationship graph as being reach extents, the path including a set of the elements that are directly or indirectly related to each of the plurality of locations as a source; and a shared-extent extraction unit configured to extract an influence process of an anomaly by extracting an extent that is shared in at least a prescribed number of paths among paths in the relationship graph that have been extracted as the reach extents.
Abstract:
A method and system for enhancing the execution performance of program code. An analysis of the program code is used to generate code usage information for each code module. For each module, the code usage information is used to determine whether the code module should be separated from its original module container. If so, the code module is migrated to a new module container, and the code module in the original module container is replaced with a reference to the code module in the new module container.
Abstract:
Systems and methods for monitoring the performance associated with fulfilling resource requests and determining optimizations for improving such performance are provided. A processing device obtains and processes performance information associated with processing a request corresponding to two or more embedded resources. The processing device uses the processed performance information to determine a consolidation configuration to be associated with a subsequent request for the content associated with the two or more embedded resources. In some embodiments, in making such a determination, the processing device assesses performance information collected and associated with subsequent requests corresponding to the content associated with the two or more embedded resources and using each of a variety of alternative consolidation configurations. Aspects of systems and methods for generating recommendations to use a particular consolidation configuration to process a subsequent request corresponding to the content associated with the two or more embedded resources are also provided.
Abstract:
Embodiments in accordance with the present invention disclose a method, computer program product, and system for optimizing performance of a computer backup solution that includes at least two data movers. The automated method includes measuring data mover performance during operation of a backup cycle, and optimizing the performance of data movers by increasing or decreasing the number of threads operating concurrently in the data movers. The method further includes computation of performance rankings of the data movers and shifting workload among the data movers in accordance with their respective performance rankings, such that the computer backup solution converges toward an optimized configuration.
Abstract:
Embodiments in accordance with the present invention disclose a method, computer program product, and system for optimizing performance of a computer backup solution that includes at least two data movers. The automated method includes measuring data mover performance during operation of a backup cycle, and optimizing the performance of data movers by increasing or decreasing the number of threads operating concurrently in the data movers. The method further includes computation of performance rankings of the data movers and shifting workload among the data movers in accordance with their respective performance rankings, such that the computer backup solution converges toward an optimized configuration.
Abstract:
A system that utilizes a plurality of time series of metric data to more accurately detect anomalies and model and predict metric values. Streams of time series metric data are processed to generate a set of independent metrics. In some instances, the present system may automatically analyze thousands of real-time streams. Advanced machine learning and statistical techniques are used to automatically find anomalies and outliers from the independent metrics by learning latent and hidden patterns in the metrics. The trends of each metric may also be analyzed and the trends for each characteristic may be learned. The system can automatically detect latent and hidden patterns of metrics including weekly, daily, holiday and other application specific patterns. Anomaly detection is important to maintaining system health and predicted values are important for customers to monitor and make planning and decisions in a principled and quantitative way.
Abstract:
Systems and methods are presented for storing and updating data. The metadata associated with a user computing device may be used to determine whether the user computing device is configured to maintain a synchronized copy of the file. Moreover, a user computing device may be authorized to modify a file through a virtual desktop instance on a PES. If a user computing device is authorized to synchronize the file, the file may be accessible locally without a network connection.
Abstract:
Embodiments in accordance with the present invention disclose a method, computer program product, and system for optimizing performance of a computer backup solution that includes at least two data movers. The automated method includes measuring data mover performance during operation of a backup cycle, and optimizing the performance of data movers by increasing or decreasing the number of threads operating concurrently in the data movers. The method further includes computation of performance rankings of the data movers and shifting workload among the data movers in accordance with their respective performance rankings, such that the computer backup solution converges toward an optimized configuration.
Abstract:
Cloud resource provisioning is described. A cloud resource provisioning method may include receiving, by a processor, a cloud resource usage data identifying a first cloud resource consumed, a first usage level associated with the first cloud resource, a second cloud resource consumed, and a second usage level associated with the second cloud resource, wherein the first and second cloud resources are in respective first and second clouds. The method may further include assigning a first importance indicator to the first cloud resource. The method may further include assigning a second importance indicator to the second cloud resource. The method may further include analyzing the first and second importance indicators to identify a preference for the first cloud resource over the second cloud resource. The method may further include causing, in view of the analyzing, the first cloud resource to be provisioned at least at the first usage level and the second cloud resource to be provisioned at a reduced usage level below the second usage level.