Abstract: Techniques for determining a data tape read quality value are disclosed. A data tape system generates a value representing a quality of a data tape based on attributes of the data tape. The system calculates the data quality value using an algorithm based on: (a) a particular data tape error correction value, (b) data tape length value representing a length of data tape traversed during data-processing operations, and (c) a scaling factor. The scaling factor is based on a relationship between the particular data tape error correction value and a rate of degradation of the data tape. The scaling factor may be generated by applying a trained machine learning model to attributes of a data tape. The model generates a scaling factor for a particular data tape based on the attributes of the particular data tape.

Abstract: Techniques for determining a data tape read quality value are disclosed. A data tape system generates a value representing a quality of a data tape based on attributes of the data tape. The system calculates the data quality value using an algorithm based on: (a) a particular data tape error correction value, (b) data tape length value representing a length of data tape traversed during data-processing operations, and (c) a scaling factor. The scaling factor is based on a relationship between the particular data tape error correction value and a rate of degradation of the data tape. The scaling factor may be generated by applying a trained machine learning model to attributes of a data tape. The model generates a scaling factor for a particular data tape based on the attributes of the particular data tape.

Abstract: Techniques for generating action recommendations for a data tape system are disclosed. A data tape system generates action recommendations for a data tape based on library-based metadata messages as well as a measured data quality value of the data tape. The system initiates an operation resulting in the data tape interacting with a media drive. A data tape library controller generates one or more metadata messages based on a result of a requested operation. The metadata message may include information regarding the type of error and a default recommended course of action. The system generates the recommended action for the data tape using a trained machine learning model.

Abstract: An apparatus and method for controlling the movement of an elevator mechanism in a tape drive system. The mechanism of the present invention employs a tachometer to detect the magnetic decoupling of a cartridge from a cartridge reel motor. A holding torque is placed on the cartridge reel motor. A voltage or current ramp is supplied to the elevator mechanism, wherein the elevator mechanism raises and magnetically decouples the tape cartridge from the cartridge reel motor. As the coupling force is broken, the torque placed on the cartridge reel motor causes the motor to turn. The tachometer detects the magnetic decoupling of the cartridge from the cartridge reel motor by sensing the angular displacement of the motor. In response, the controller decreases the voltage or current ramp to adapt to the load reduction on the elevator mechanism, and thereby more smoothly continue the elevator motion.

Abstract: An improved tape storage device having information for converting longitudinal physical positions written in a medium to logical positions used by a tape drive. The conversion information, an offset and an optional maximum physical position value, are stored in one or more locations in the tape storage device. Methods of operating the tape drive are disclosed to determine and store the conversion information in the tape storage device. Another method of operation enables the tape drive to read the conversion information and convert the physical positions to logical positions. The method works for both center loading and end loading medium. Possible numeric rollover of the physical positions is detected by one of several methods including the step values between adjacent physical positions, comparing the logical positions with an upper and lower boundary, and generating a lookup table where the rollover is represented by a wraparound between the top and bottom of the table.