Abstract: Disclosed are systems, devices, methods, and computer-readable media for performing various actions for bringing data stores into compliance with a policy. The actions include generating a global scan index (“scan index”) for SAS® software and using the scan index to handle data management operations. Unlike traditional B-tree indices that consume a larger quantity of resources to parse through data, the scan indices may include a table of three columns. A first column may include an indication of a search value, a second column may include an indication of what table(s) in the data store(s) include the requested value, and a third column may include an indication of the row number for the tables in column two in which the value resides. The actions further include batching requests to perform a data management operation on data of a certain category by employing the scan index.

Abstract: Systems and methods for compression and/or unification of statistical analysis system (SAS) data is provided. In one embodiment, a request to open a unified and compressed statistical analysis system (SAS) view file is received. The unified and compressed SAS data step view file including: an SAS data step view; compressed payload data to be used in the SAS data step view when decompressed; and a set of metadata describing characteristics of variables of the SAS data step view. Upon receiving the request, the compressed payload data is automatically decompressed, such that compressed payload data is decompressed and usable with the SAS data step view to render the SAS data step view and decompressed payload data on an electronic display of a client or host providing the request.

Abstract: Systems and methods for compression and/or unification of statistical analysis system (SAS) data is provided. In one embodiment, a request to open a unified and compressed statistical analysis system (SAS) view file is received. The unified and compressed SAS data step view file including: an SAS data step view; compressed payload data to be used in the SAS data step view when decompressed; and a set of metadata describing characteristics of variables of the SAS data step view. Upon receiving the request, the compressed payload data is automatically decompressed, such that compressed payload data is decompressed and usable with the SAS data step view to render the SAS data step view and decompressed payload data on an electronic display of a client or host providing the request.

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: 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: Methods and systems are disclosed for determining a processor usage adjustment factor and for automatically applying the processor usage adjustment factor to provide an accurate processor usage estimate for an SMT processor. In one implementation, the methods and systems obtain samples of processor 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 processor 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 processor usage reported may then be determined from the sampled data. A processor usage adjustment factor may then be derived, based on the distribution, and used to provide a more accurate processor usage estimate.

Abstract: Methods and systems are disclosed for determining a processor usage adjustment factor and for automatically applying the processor usage adjustment factor to provide an accurate processor usage estimate for an SMT processor. In one implementation, the methods and systems obtain samples of processor 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 processor 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 processor usage reported may then be determined from the sampled data. A processor usage adjustment factor may then be derived, based on the distribution, and used to provide a more accurate processor 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: Methods and systems are disclosed for determining a processor usage adjustment factor and for automatically applying the processor usage adjustment factor to provide a processor usage estimate for an SMT processor. In one implementation, the methods and systems obtain samples of processor 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 processor 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 processor usage reported may then be determined from the sampled data. A processor usage adjustment factor may then be derived, based on the distribution, and used to provide a processor usage estimate.