A system and method for data compression with protocol adaptation, that utilizes a codebook generator which leverages one or more machine/deep learning algorithms trained on at least a plurality of protocol policies in order to generate a protocol appendix and codebook, wherein original data is encoded by an encoder according to the codebook and sent to a decoder, but instead of just decoding the data according to the codebook to reconstruct the original data, data manipulation rules such as mapping and transformation are applied at the decoding stage to transform the decoded data into protocol formatted data.

As disclosed herein, a computer implemented method for reading a record on a storage device includes reading, by a processor, the record from the storage device, and generating, by a processor, a header corresponding to the record. The method further includes adding, by a processor, header information corresponding to the metadata to the header, and providing, by a processor, the header and the record to a host. Also disclosed herein, a computer implemented method for writing a record on a storage device includes receiving, by a processor, a header and the record from a host to be written to the storage device, and determining, by a processor, metadata included in header information corresponding to the header. The method further includes determining, by a processor, a write behavior specified by the metadata, and writing, by a processor, the metadata and the record to the storage device according to the write behavior.

Techniques for transforming character delimited values are presented herein. An input module may be configured to read a set of character delimited values. A generation module may be configured to generate, in real-time, a synchronization block for the set of values that includes a nibble for each value in the set of values. The nibbles may represent either a byte size of the associated value or may be a flag representing a predetermined value. An output module may be configured to sequentially output the synchronization block and the set of values to a binary data output stream for output in a device dependent byte order according to the respective byte sizes of the values in the set of values.

A non-transitory computer-readable recording medium stores an encoding program that causes a computer to execute a process. The process includes first encoding a first character string in input data to a first code, when the first character string being registered in a first dictionary, the first code being associated with the first character string in the first dictionary; second encoding a second character string in input data to a second code and registering the second character string to a dynamic dictionary, when the second character string being not registered in the first dictionary, the second code being associated with the second character string and preliminary information in the dynamic dictionary; and generating encoded data including the encoded input data and the dynamic dictionary.

In various embodiments a computer-implemented method for managing use of a shared compression dictionary in a distributed database environment. The method includes determining that a given version of the shared compression dictionary should be designated as a current primary version of the shared compression dictionary. The method also includes receiving, from a client device, first write data compressed with a previous primary version of the shared compression dictionary and in response to receiving the first write data, transmitting, to the client device, the current primary version of the shared compression dictionary and an instruction to compress new write data with the current primary version of the shared compression dictionary. Additionally, the method includes receiving, from the client device, a second write data compressed with the current primary version of the shared compression dictionary and storing the second write data in a database.

This application provides a data compression and transmission method, an apparatus, a device, and a storage medium. The method includes: A first communication apparatus performs weighted encoding on first data based on a dictionary matrix, to obtain second data, where the second data expresses the first data based on k basis vectors in the dictionary matrix; and sends the second data to a second communication apparatus on a first transmission resource, to compress physical layer data while a low data loss is ensured. Further, k is a weighting parameter that is determined based on the first transmission resource and that is of the first data, and the weighting parameter k used for performing weighted encoding on the first data is determined based on the first transmission resource.

A system for adaptively caching network communication protocols provides improved efficiency and performance through a multi-level cache architecture. The system monitors performance metrics and synchronizes cache contents across distributed nodes using a hierarchical structure. Protocol cache requirements are predicted based on usage patterns, enabling proactive cache management. The system compresses cached protocols using existing codebooks to optimize storage and transmission efficiency. Integration with event-driven data communication systems enables seamless protocol selection and translation. The caching system works in conjunction with transaction managers and protocol predictors to enhance network communication performance. The system maintains cache coherency across local, regional, and global cache levels while minimizing network overhead and optimizing protocol availability. By predicting and pre-caching likely needed protocols, the system reduces protocol negotiation latency and improves overall network communication efficiency.

The present disclosure relates to data transmission methods, systems, and apparatuses. In one example method, a first device sends first information of a first data block to a second device. The second device searches, based on the first information, a first index for a second data block similar to the first data block, and sends second information of the second data block to the first device. The first device locally obtains, based on the second information, a reference block that is the same as the second data block, compresses a difference part of the first data block relative to the reference block to obtain first compressed information, and sends the first compressed information to the second device. The second device obtains the first data block based on the first compressed information and the second data block.

In various embodiments a computer-implemented method for managing use of a shared compression dictionary in a distributed database environment. The method includes determining that a given version of the shared compression dictionary should be designated as a current primary version of the shared compression dictionary. The method also includes receiving, from a client device, first write data compressed with a previous primary version of the shared compression dictionary and in response to receiving the first write data, transmitting, to the client device, the current primary version of the shared compression dictionary and an instruction to compress new write data with the current primary version of the shared compression dictionary. Additionally, the method includes receiving, from the client device, a second write data compressed with the current primary version of the shared compression dictionary and storing the second write data in a database.

A system and method for codebook management is disclosed. Training datasets are obtained from various data sources. A similarity score is generated for each training dataset with reference to the other training datasets. In response to detecting a similarity score above a predetermined threshold for one or more of the other training datasets, a combined codebook is created based on training datasets that have a similarity score above a predetermined threshold. Based on the similarity score, multiple data sources are combined into a group, and the combined codebook is used for the data sources within the group. A mismatch performance metric can be computed for the combined codebook, and a revised combined codebook can be regenerated in response to the mismatch performance metric being above a predetermined threshold.