Abstract: A distributed data storage system breaks data into n slices and k checksums using at least one matrix-based erasure code based on matrices with invertible submatrices, stores the slices and checksums on a plurality of storage elements, retrieves the slices from the storage elements, and, when slices have been lost or corrupted, retrieves the checksums from the storage elements and restores the data using the at least one matrix-based erasure code and the checksums. In a method for ensuring restoration and integrity of data in computer-related applications, data is broken into n pieces, k checksums are calculated using at least one matrix-based erasure code based on matrices with invertible submatrices, and the n data pieces and k checksums are stored on n+k storage elements or transmitted over a network.

Abstract: A distributed data storage system breaks data into n slices and k checksums using at least one matrix-based erasure code based on matrices with invertible submatrices, stores the slices and checksums on a plurality of storage elements, retrieves the slices from the storage elements, and, when slices have been lost or corrupted, retrieves the checksums from the storage elements and restores the data using the at least one matrix-based erasure code and the checksums. In a method for ensuring restoration and integrity of data in computer-related applications, data is broken into n pieces, k checksums are calculated using at least one matrix-based erasure code based on matrices with invertible submatrices, and the n data pieces and k checksums are stored on n+k storage elements or transmitted over a network.

Abstract: A distributed heterogeneous or homogeneous file storage system divides logical responsibility for data from actual control of the data by using separate file and storage managers. Each file manager provides access to stored files and stores metadata associated with each of the files for which it is responsible. A file manager control component allocates responsibilities among file managers, assigns management responsibilities for individual files, and maintains a record of which files are assigned to each manager. Each storage manager is responsible for managing storage of files on data storage devices and maintains a record of the location of each stored file. A storage manager control component allocates responsibilities among storage managers, assigns responsibilities for individual files, and maintains a record of which files and storage devices are assigned to each manager.

Abstract: A distributed heterogeneous or homogeneous file storage system divides logical responsibility for data from actual control of the data by using separate file and storage managers. Each file manager provides access to stored files and stores metadata associated with each of the files for which it is responsible. A file manager control component allocates responsibilities among file managers, assigns management responsibilities for individual files, and maintains a record of which files are assigned to each manager. Each storage manager is responsible for managing storage of files on data storage devices and maintains a record of the location of each stored file. A storage manager control component allocates responsibilities among storage managers, assigns responsibilities for individual files, and maintains a record of which files and storage devices are assigned to each manager.

Abstract: A distributed heterogeneous or homogeneous file storage system divides logical responsibility for data from actual control of the data by using separate file and storage managers. Each file manager provides access to stored files and stores metadata associated with each of the files for which it is responsible. A file manager control component allocates responsibilities among file managers, assigns management responsibilities for individual files, and maintains a record of which files are assigned to each manager. Each storage manager is responsible for managing storage of files on data storage devices and maintains a record of the location of each stored file. A storage manager control component allocates responsibilities among storage managers, assigns responsibilities for individual files, and maintains a record of which files and storage devices are assigned to each manager.

Abstract: A distributed heterogeneous or homogeneous file storage system divides logical responsibility for data from actual control of the data by using separate file and storage managers. Each file manager provides access to stored files and stores metadata associated with each of the files for which it is responsible. A file manager control component allocates responsibilities among file managers, assigns management responsibilities for individual files, and maintains a record of which files are assigned to each manager. Each storage manager is responsible for managing storage of files on data storage devices and maintains a record of the location of each stored file. A storage manager control component allocates responsibilities among storage managers, assigns responsibilities for individual files, and maintains a record of which files and storage devices are assigned to each manager.

Abstract: A distributed data storage system breaks data into n slices and k checksums using at least one matrix-based erasure code based on matrices with invertible submatrices, stores the slices and checksums on a plurality of storage elements, retrieves the slices from the storage elements, and, when slices have been lost or corrupted, retrieves the checksums from the storage elements and restores the data using the at least one matrix-based erasure code and the checksums. In a method for ensuring restoration and integrity of data in computer-related applications, data is broken into n pieces, k checksums are calculated using at least one matrix-based erasure code based on matrices with invertible submatrices, and the n data pieces and k checksums are stored on n+k storage elements or transmitted over a network.

Abstract: Explicit representation of molecular shape of molecules is combined with neural network learning methods to provide models with high predictive ability that generalize to different chemical classes where structurally diverse molecules exhibiting similar surface characteristics are treated as similar. A new machine-learning methodology is disclosed that can accept multiple representations of objects and construct models that predict characteristics of those objects. An extension of this methodology can be applied in cases where the representations of the objects are determined by a set of adjustable parameters. An iterative process applies intermediate models to generate new representations of the objects by adjusting said parameters and repeatedly. retrains the models to obtain better predictive models. This method can be applied to molecules because each molecule can have many orientations and conformations (representations) that are determined by a set of translation, rotation and torsion angle parameters.

Abstract: Explicit representation of molecular shape of molecules is combined with neural network learning methods to provide models with high predictive ability that generalize to different chemical classes where structurally diverse molecules exhibiting similar surface characteristics are treated as similar. A new machine-learning methodology that can accept multiple representations of objects and construct models that predict characteristics of those objects. An extension of this methodology can be applied in cases where the representations of the objects are determined by a set of adjustable parameters. An iterative process applies intermediate models to generate new representations of the objects by adjusting said parameters and repeatedly retrains the models to obtain better predictive models. This method can be applied to molecules because each molecule can have many orientations and conformations (representations) that are determined by a set of translation, rotation and torsion angle parameters.