Systems and methods for lossless compression of tabular numeric data are provided. The system can include one or more data compression servers executing data compression system code to compress the tabular numeric data, a storage database to store the compressed tabular numeric data, and one or more data decompression servers to decompress the tabular numeric data for use. The one or more data compression servers, the storage database, and the one or more data decompression servers can communicate via a communication network. The system can receive the uncompressed tabular numeric data from one or more data generation systems, processes the uncompressed tabular numeric data with the data compression system code, and generate a compressed table of numeric information, which can be stored in the database, or later decompressed by the one or more data decompression servers.

The disclosure relates to a device that is set up for device-internal handling of data in a text format, that has a communication interface set up to interchange binary data, particularly EXI data, and that provides a coder for reciprocally converting the binary data into text format data, wherein the coder is set up to associate resource descriptions with a respective identification number. This association is managed via a resource table, which is managed by the coder and in which a respective resource description in text form has an associated respective identification number. In addition, the device has at least one device-internal database for storing resources and the relationships between the resources. A database access control unit is provided that has access both to the database and to the resource table. Centralization of the resource table advantageously avoids redundant storage of resource descriptions.

A system for controlling access to encrypted vehicular data employs a hierarchical access control method that allows select encrypted vehicular data stored in a cloud server to be accessed by an authorized user in a hierarchical manner whereby the authorized user is then able to decrypt the select encrypted data and all child data associated with the select encrypted data.

A method for encoding and decoding a javascript object notation (JSON) document utilizing a statistical tree representing a JSON Schema. The encoded statistical tree may be optimized.

A method for compressing semi-structured data is discussed. The method includes accessing semi-structured data, the semi-structured data comprising a plurality of elements. The method includes determining a plurality of unique elements of the plurality of elements, each of the plurality of unique elements associated with a respective unique index of a plurality of unique indexes. Each of the unique index can indicate a position in one of a plurality of data stores. The method includes generating a sequence of encoded representations corresponding to the plurality of elements, the generating based on the plurality of unique indexes.

Techniques are described herein for space-efficient encoding of label information of property graphs. In an embodiment, an input graph is received. The input graph comprises a plurality of entities and a plurality of label sets. Each entity of said plurality of entities is associated with a label set of the plurality of label sets and each label set of the plurality of label sets comprises zero or more labels of a plurality of labels. A first mapping is generated that maps each label of the plurality of labels to a label code. A second mapping is generated that maps each label integer set of a plurality of label integer sets to a label code. Each label integer set of the plurality of label integer sets corresponds to a label set of the plurality of label sets, wherein each label integer set of the plurality of label integer sets comprises label codes from the first mapping that are mapped to each label included in the corresponding label set. A compressed label set is generated for each entity of the plurality of entities. Each compressed label set comprises a plurality of bits that indicate a zeroth state, a first state, a second state, or a third state. The compressed label sets and the first and second mappings are used to efficiently evaluate graph label queries.

Systems and methods for a self-compressed YANG (Yet Another Next Generation) model allow a model data provider (e.g., a client that provides configuration information to a server, or a server that provides response data to a query) to dynamically select either text format or compressed format using the same data model. This approach can significantly increase the YANG management performance of both network elements and servers (e.g., Operations, Administration, and Maintenance (OAM) devices). The self-compressed YANG model maintains full compatibility to existing standards/implementations, namely, the enhanced compression is available where supported.

The present disclosure provides a method for compressing numeric data. The method comprises receiving a data set having a plurality of numeric values; for each numeric value of the plurality of numeric values of the data set, dividing a numeric value into a plurality of arrays arranged according to a specific location of the numeric value, wherein the plurality of arrays include a first array and a second array; grouping, across the plurality of numeric values, first arrays; grouping, across the plurality of numeric values, second arrays; and compressing the group of first arrays and the group of second arrays. The present disclosure also provides a method for decompressing numeric data. The method comprises receiving a data buffer comprising compressed numeric values; decompressing the compressed numeric values into groups of arrays; aligning the groups of arrays according to their relative positions from decimal points; and reconstructing numeric values according to the aligned groups of arrays. In addition, the present disclosure provides database systems and non-transitory computer-readable media for compressing and decompressing numeric data.

Method, media, and systems for compressing objects, comprising: receiving a request to write a first object including a first key and a first value, wherein the first object is of a given type; receiving a request to write a second object including a second key and a second value, wherein the second object is of the given type; classifying the first object to a compression dictionary according to at least one rule based on a value of the first object and/or the key of the first object; classifying the second object to the compression dictionary according to at least one rule based on a value of the second object and/or the key of the second object; and compressing the first object and the second object based on the compression dictionary.

Systems and methods for a self-compressed YANG (Yet Another Next Generation) model allow a model data provider (e.g., a client that provides configuration information to a server, or a server that provides response data to a query) to dynamically select either text format or compressed format using the same data model. This approach can significantly increase the YANG management performance of both network elements and servers (e.g., Operations, Administration, and Maintenance (OAM) devices). The self-compressed YANG model maintains full compatibility to existing standards/implementations, namely, the enhanced compression is available where supported.