Abstract: Systems and methods are disclosed for providing a trusted database system that leverages a small amount of trusted storage to secure a larger amount of untrusted storage. Data are encrypted and validated to prevent unauthorized modification or access. Encryption and hashing are integrated with a low-level data model in which data and meta-data are secured uniformly. Synergies between data validation and log-structured storage are exploited.

Abstract: Systems and methods are disclosed for providing a trusted database system that leverages a small amount of trusted storage to secure a larger amount of untrusted storage. Data are encrypted and validated to prevent unauthorized modification or access. Encryption and hashing are integrated with a low-level data model in which data and meta-data are secured uniformly. Synergies between data validation and log-structured storage are exploited.

Abstract: Systems and methods are disclosed for providing a trusted database system that leverages a small amount of trusted storage to secure a larger amount of untrusted storage. Data are encrypted and validated to prevent unauthorized modification or access. Encryption and hashing are integrated with a low-level data model in which data and meta-data are secured uniformly. Synergies between data validation and log-structured storage are exploited.

Abstract: Systems and methods are disclosed for providing a trusted database system that leverages a small amount of trusted storage to secure a larger amount of untrusted storage. Data are encrypted and validated to prevent unauthorized modification or access. Encryption and hashing are integrated with a low-level data model in which data and meta-data are secured uniformly. Synergies between data validation and log-structured storage are exploited.

Abstract: Systems and methods are disclosed for providing a trusted database system that leverages a small amount of trusted storage to secure a larger amount of untrusted storage. Data are encrypted and validated to prevent unauthorized modification or access. Encryption and hashing are integrated with a low-level data model in which data and meta-data are secured uniformly. Synergies between data validation and log-structured storage are exploited.

Abstract: This disclosure provides systems and methods for updating database servers with schema changes to avoid concurrency anomalies. The system may receive a snapshot of a table to be updated with a new schema, wherein the snapshot is taken at a given time, and wherein the table includes a number of rows. The system may then read each row from the snapshot and read each row from the table to be updated at a second time. The system may then compare the rows read from the snapshot to the rows read from the table at the second time. Furthermore, the system may determine, based on the comparison, the rows from the snapshot that have not changed between the given time and the second time. The system may then write the rows that have not changed to the table to be updated.

Abstract: Systems and methods are disclosed for providing a trusted database system that leverages a small amount of trusted storage to secure a larger amount of untrusted storage. Data are encrypted and validated to prevent unauthorized modification or access. Encryption and hashing are integrated with a low-level data model in which data and meta-data are secured uniformly. Synergies between data validation and log-structured storage are exploited.

Abstract: Systems and methods are disclosed for providing a trusted database system that leverages a small amount of trusted storage to secure a larger amount of untrusted storage. Data are encrypted and validated to prevent unauthorized modification or access. Encryption and hashing are integrated with a low-level data model in which data and meta-data are secured uniformly. Synergies between data validation and log-structured storage are exploited.

Abstract: This disclosure provides systems and methods for updating database servers with schema changes to avoid concurrency anomalies. The system may receive a snapshot of a table to be updated with a new schema, wherein the snapshot is taken at a given time, and wherein the table includes a number of rows. The system may then read each row from the snapshot and read each row from the table to be updated at a second time. The system may then compare the rows read from the snapshot to the rows read from the table at the second time. Furthermore, the system may determine, based on the comparison, the rows from the snapshot that have not changed between the given time and the second time. The system may then write the rows that have not changed to the table to be updated.

Abstract: This disclosure provides systems and methods for updating database servers with schema changes to avoid concurrency anomalies. The system may receive a snapshot of a table to be updated with a new schema, wherein the snapshot is taken at a given time, and wherein the table includes a number of rows. The system may then read each row from the snapshot and read each row from the table to be updated at a second time. The system may then compare the rows read from the snapshot to the rows read from the table at the second time. Furthermore, the system may determine, based on the comparison, the rows from the snapshot that have not changed between the given time and the second time. The system may then write the rows that have not changed to the table to be updated.

Abstract: This disclosure describes methods, systems and software that can be used to calculate the estimated mean time to data loss for a particular configuration of a disk group. For example, a system can be used to evaluate a plurality of configurations, and/or to select (and/or allow a user to select) an optimal configuration of the disk group, based, in some cases, on the relative estimated mean times to data loss of the various configurations. This can allow, if desired, the configuration of the disk group to minimize the likelihood of data loss in the disk group.

Abstract: This disclosure provides systems and methods for updating database servers with schema changes to avoid concurrency anomalies. The system may receive a snapshot of a table to be updated with a new schema, wherein the snapshot is taken at a given time, and wherein the table includes a number of rows. The system may then read each row from the snapshot and read each row from the table to be updated at a second time. The system may then compare the rows read from the snapshot to the rows read from the table at the second time. Furthermore, the system may determine, based on the comparison, the rows from the snapshot that have not changed between the given time and the second time. The system may then write the rows that have not changed to the table to be updated.

Abstract: Systems and methods are disclosed for providing a trusted database system that leverages a small amount of trusted storage to secure a larger amount of untrusted storage. Data are encrypted and validated to prevent unauthorized modification or access. Encryption and hashing are integrated with a low-level data model in which data and meta-data are secured uniformly. Synergies between data validation and log-structured storage are exploited.

Abstract: Systems and methods are disclosed for providing a trusted database system that leverages a small amount of trusted storage to secure a larger amount of untrusted storage. Data are encrypted and validated to prevent unauthorized modification or access. Encryption and hashing are integrated with a low-level data model in which data and meta-data are secured uniformly. Synergies between data validation and log-structured storage are exploited.

Abstract: This disclosure describes methods, systems and software that can be used to calculate the estimated mean time to data loss for a particular configuration of a disk group. For example, a system can be used to evaluate a plurality of configurations, and/or to select (and/or allow a user to select) an optimal configuration of the disk group, based, in some cases, on the relative estimated mean times to data loss of the various configurations. This can allow, if desired, the configuration of the disk group to minimize the likelihood of data loss in the disk group.

Abstract: Systems and methods are disclosed for providing a trusted database system that leverages a small amount of trusted storage to secure a larger amount of untrusted storage. Data are encrypted and validated to prevent unauthorized modification or access. Encryption and hashing are integrated with a low-level data model in which data and meta-data are secured uniformly. Synergies between data validation and log-structured storage are exploited.

Abstract: This disclosure describes methods, systems and software that can be used to calculate the estimated mean time to data loss for a particular configuration of a disk group. For example, a system can be used to evaluate a plurality of configurations, and/or to select (and/or allow a user to select) an optimal configuration of the disk group, based, in some cases, on the relative estimated mean times to data loss of the various configurations. This can allow, if desired, the configuration of the disk group to minimize the likelihood of data loss in the disk group.

Abstract: Systems and methods are disclosed for providing a trusted database system that leverages a small amount of trusted storage to secure a larger amount of untrusted storage. Data are encrypted and validated to prevent unauthorized modification or access. Encryption and hashing are integrated with a low-level data model in which data and meta-data are secured uniformly. Synergies between data validation and log-structured storage are exploited.

Abstract: This disclosure describes solutions for reducing the amount of fragmentation on a computer memory device, such as a hard disk, random access memory device, and/or the like. In an aspect, this disclosure describes systems, methods and software for allocating storage space for variable-sized data chunks in a fashion that reduces or eliminates the need for periodic de-fragmentation of the memory device. In another aspect, this disclosure describes solutions that provide for the dynamic re-allocation of existing data blocks on the memory device to provide contiguous available space that can be allocated for new data blocks.

Abstract: A method and apparatus for data management are disclosed. Data from a first storage device from a subset of a plurality of storage devices is relocated to a second storage device from the plurality of storage devices upon unavailability of the first storage device during a data operation. Each storage device from the subset of the plurality of storage devices includes a data replica. Status parameters on each storage device are updated, wherein a subset of the status parameters indicates addition of the second storage device to the plurality of storage devices.