System and method for data processing and transformation using reference data structures
A system and method for highly efficient encoding of data that includes extended functionality for asymmetric encoding/decoding and network policy enforcement. In the case of asymmetric encoding/decoding the original data is encoded by an encoder according to a codebook and sent to a decoder, but the output of the decoder depends on data manipulation rules applied at the decoding stage to transform the decoded data into a different data set from the original data. In the case of network policy enforcement, a behavior appendix into the codebook, such that the encoder and/or decoder at each node of the network comply with network behavioral rules, limits, and policies during encoding and decoding.
1 . A system for data processing and transformation, comprising:
a computing device comprising a processor and a memory;
a data structure generator comprising a first plurality of programming instructions that, when operating on the processor, causes the computing device to:
generate a data structure comprising a plurality of reference elements derived from input data;
transmit the data structure to one or more data processors; and
one or more data processors comprising a second plurality of programming instructions stored in the memory which, when operating on the processor, causes the computing device to:
receive input data which has been processed using the data structure;
process the input data using the data structure by correlating elements of the input data with reference elements in the data structure;
apply one or more transformation rules to each processed data element with which a rule is associated in the data structure, to transform the respective data element according to the rules; and
output the processed data as a sequence of its transformed and untransformed elements.
2 . The system of claim 1 , wherein the rule includes data transformation operations, and the output data is a result of applying these operations to the input data.
3 . The system of claim 1 , wherein the rule includes conditional processing instructions that determine how specific data elements are handled based on predefined criteria or system state.
4 . The system of claim 1 , wherein the rule includes formatting instructions, and the output data conforms to one or more specified data formats, structures, or protocols.
5 . A method for data processing and transformation, comprising the steps of:
generating a data structure comprising a plurality of reference elements derived from input data;
transmitting the data structure to one or more data processors;
receiving input data which has been processed using the data structure;
processing the input data using the data structure by correlating elements of the input data with reference elements in the data structure;
applying one or more transformation rules to each processed data element with which a rule is associated in the data structure, to transform the data element according to the rules; and
outputting the processed data as a sequence of its transformed and untransformed elements.
6 . The method of claim 5 , wherein the rule includes data transformation operations, and the output data is a result of applying these operations to the input data.
7 . The method of claim 5 , wherein the rule includes conditional processing instructions that determine how specific data elements are handled based on predefined criteria or system state.
8 . The method of claim 5 , wherein the rule includes formatting instructions, and the output data conforms to one or more specified data formats, structures, or protocols.
9 . A system for data processing and transformation, comprising:
a first computing device comprising a first processor and a first memory;
a second computing device comprising a second processor and a second memory;
a data structure generator comprising a first plurality of programming instructions stored in the first memory which, when operating on the first processor, causes the first computing device to:
generate a data structure comprising a plurality of reference elements from input data;
transmit the reference data structure to one or more data processor modules operating on the second computing device; and
one or more data processor modules comprising a second plurality of programming instructions stored in the second memory which, when operating on the second processor, causes the second computing device to:
receive input data and the reference data structure;
process the input data using the reference data structure by correlating elements of the input data with reference elements in the data structure;
apply one or more transformation rules to the processed data elements as specified in the reference data structure or by system configuration; and
output the processed data as a sequence of transformed and untransformed elements.
10 . The system of claim 9 , wherein the rule includes data transformation operations, and the output data is a result of applying these operations to the input data.
11 . The system of claim 9 , wherein the rule includes conditional processing instructions that determine how specific data elements are handled based on predefined criteria or system state.
12 . The system of claim 9 , wherein the rule includes formatting instructions, and the output data conforms to one or more specified data formats, structures, or protocols.