Abstract: In various embodiments, a method for maintaining and analyzing a rolling history of performance data for a computer network is described. In one embodiment, one year's data is stored, sorted by object and date. New data is appended to the end of the file each day and an index by object is stored. Using this method, data for twelve full months can be provided in object order, and data for one partial month that was added daily in date order can also be provided.

Abstract: In various embodiments, a method for maintaining and analyzing a rolling history of performance data for a computer network is described. In one embodiment, one year's data is stored, sorted by object and date. New data is appended to the end of the file each day and an index by object is stored. Using this method, data for twelve full months can be provided in object order, and data for one partial month that was added daily in date order can also be provided.

Abstract: In various embodiments, a method for maintaining and analyzing a rolling history of performance data for a computer network is described. In one embodiment, one year's data is stored, sorted by object and date. New data is appended to the end of the file each day and an index by object is stored. Using this method, data for twelve full months can be provided in object order, and data for one partial month that was added daily in date order can also be provided.

Abstract: Methods and systems are disclosed for determining a CPU usage adjustment factor and for automatically applying the CPU usage adjustment factor to provide a CPU usage estimate for an SMT processor. In one implementation, the methods and systems obtain samples of CPU usage reported by the operating system at a predefined sampling rate over a predefined sampling interval. Thread states for the threads substantially corresponding to the reported CPU usage are so obtained at the predefined sampling rate and over the predefined sampling interval. This sampling may be performed for servers running different applications and having diverse processing loads. An estimate of the distribution of the number of threads running for the CPU usages reported may then be determined from the sampled data. A CPU usage adjustment factor may then be derived, based on the distribution, and used to provide a CPU usage estimate.

Abstract: A performance management system and method for generating a plurality of forecasts for one or more electronic devices is presented. The forecasts are generated from stored performance data and analyzed to determine which devices are likely to experience performance degradation within a predetermined period of time. A single forecast is extracted for further analysis such that computer modeling may be performed upon the performance data to enable the user to predict when device performance will begin to degrade. In one embodiment, graphical displays are created for those devices forecasted to perform at an undesirable level such that suspect devices may be subjected to further analysis.

Abstract: In various embodiments, a method for maintaining and analyzing a rolling history of performance data for a computer network is described. In one embodiment, one year's data is stored, sorted by object and date. New data is appended to the end of the file each day and an index by object is stored. Using this method, data for twelve full months can be provided in object order, and data for one partial month that was added daily in date order can also be provided.

Abstract: Methods and systems are disclosed for determining a CPU usage adjustment factor and for automatically applying the CPU usage adjustment factor to provide a CPU usage estimate for an SMT processor. In one implementation, the methods and systems obtain samples of CPU usage reported by the operating system at a predefined sampling rate over a predefined sampling interval. Thread states for the threads substantially corresponding to the reported CPU usage are so obtained at the predefined sampling rate and over the predefined sampling interval. This sampling may be performed for servers running different applications and having diverse processing loads. An estimate of the distribution of the number of threads running for the CPU usages reported may then be determined from the sampled data. A CPU usage adjustment factor may then be derived, based on the distribution, and used to provide a CPU usage estimate.