Thus, data flow 1000 provides an indication of how a multi-layer distributed processing system may be used to process data (e.g., streaming data) in real-time. A layered node organization can facilitate minimally disrupting a stream (e.g., with regard to transmission latency and/or order disruption) and utilizing parallel processing to quickly detect and report select data. The framework is also scalable, as nodes can be added to a set when additional data streams are incoming and/or when a density of data elements per stream increases.
An incoming bitstream 1002 can include, for example, data from a stream or discrete communication. Bitstream 1002 feeds into pre-processing circuitry 1004, which perform processing on some or all of the bitstream data. Such processing can include, for example, filtering, converting, encoding, decoding, standardizing or other processing of the data and may generate data packets with a data frame structure. The data packet can include a set of headers and a payload.