Abstract: Methods, systems, and computer program products are provided for managing computer power consumption in a data center. Embodiments include monitoring aggregate power consumption of a plurality of computers in the data center, each of the computers being supplied power individually from a shared circuit in the data center; determining whether the aggregate power consumption exceeds a predetermined maximum threshold; if the aggregate power consumption exceeds the predetermined maximum threshold, selecting a number of computers for throttling in dependence upon priority; and throttling-down the selected computers, reducing the aggregate power consumption to a level below the predetermined maximum threshold.

Abstract: A system and method of monitoring and analyzing the performance of a computer system and its components in a data processing network and for proposing changes to the network to improve the performance. The system involves identifying undesirable conditions (sometimes called bottlenecks) in the system, determining which bottlenecks are the most severe in affecting the performance of the system and in proposing changes to the components of the system to improve performance of the network. The present invention uses historical data and forecasting techniques to predict bottlenecks which have not occurred yet but which can be expected, so that further bottlenecks can be projected, along with a prediction interval to indicate the confidence of the prediction. The further projections and the prediction interval are provided in a graph which is available to the user over the Internet, if desired, using HTML and hot links.

Abstract: A system and method of monitoring and analyzing the performance of a computer system and its components in a data processing network and for proposing changes to the network to improve the performance. The system involves identifying undesirable conditions (sometimes called bottlenecks) in the system, determining which bottlenecks are the most severe in affecting the performance of the system and in proposing changes to the components of the system to improve performance of the network. The present invention uses historical data and forecasting techniques to predict bottlenecks which have not occurred yet but which can be expected, so that future bottlenecks can be projected, along with a prediction interval to indicate the confidence of the prediction. The future projections and the prediction interval are provided in a graph which is available to the user over the Internet, if desired, using HTML and hot links.

Abstract: A method and system for automated network benchmark performance analysis which providing a highly realistic benchmark test representative of actual operation of specific software applications, without requiring installation and/or operation of the software applications during testing. Selected software applications generally utilized within a specific network are identified and representative transactions within those applications are executed while tracing the operation of the software application to identify and record input/output operations which occur during those transactions. The recorded list of input/output operations is then utilized to create a benchmark script for utilization in testing which has a high degree of verisimilitude when compared with actual software application operations.