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block devices. Download description Overview The Comprestimator utility uses advanced mathematical and statistical algorithms to perform the sampling and analysis process in a very short and efficient way. The utility also displays its accuracy level by showing the maximum error range https://www-304.ibm.com/webapp/set2/sas/f/comprestimator/home.html of the results achieved based on the formulas it uses. The utility runs on a host that has access to the devices that will be analyzed, and performs only read operations so it has no effect whatsoever on the data stored on the device. The following section provides useful information on installing Comprestimator on a host and using it to analyze devices on that host. Depending on the environment configuration, in many cases error device Comprestimator will be used on more than one host, in order to analyze additional data types. It is important to understand block device behavior when analyzing traditional (fully-allocated) volumes. Traditional volumes that were created without initially zeroing the device may contain traces of old data in the block device level. Such data will not be accessible or viewable in the file system level. When using Comprestimator to analyze such volumes, the expected compression error device fully results will reflect the compression rate that will be achieved for all the data in the block device level, including the traces of old data. This simulates the volume mirroring process of the analyzed device into a compressed volume. Later, when volume mirroring is actually used to compress the data on the storage system, it will process all data on the device (including both active data and traces of old data) and get it compressed. After that when storing more active data on the compressed volume, traces of old data will start getting deleted by new data that is written into the volume. As more active data accumulates in the device the compression rate achieved will be adjusted to reflect the accurate savings achieved for the active data. This block device behavior is limited to traditional volumes and will not occur when analyzing thinly provisioned volumes. Regardless of the type of block device being scanned, it is also important to understand a few characteristics of common file systems space management. When files are deleted from a file system, the space they occupied before being deleted will be freed and available to the file system even though the data on disk was not actually deleted but rather the file system index and pointers were updated to reflect this ch