View source for 20240053930. High Speed Data Packet Flow Processing with Offload simplified abstract (fmad engineering kabushiki gaisha)

=High Speed Data Packet Flow Processing with Offload=


==Organization Name==

[[:Category:fmad engineering kabushiki gaisha|fmad engineering kabushiki gaisha]]


[[Category:fmad engineering kabushiki gaisha]]

==Inventor(s)==

[[:Category:Aaron Foo of Tokyo (JP)|Aaron Foo of Tokyo (JP)]][[Category:Aaron Foo of Tokyo (JP)]]

==High Speed Data Packet Flow Processing with Offload - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240053930 titled 'High Speed Data Packet Flow Processing with Offload

==Simplified Explanation==

The embodiment described in the abstract involves digital circuitry and processors working together to process data packets and extract flow statistics based on common values within the packets.

* Digital circuitry receives data packets, calculates hash values for each packet based on specific locations within the packets, and stores metadata containing the hash values in a memory.
* Processors read the metadata, aggregate it into flow statistics based on the hash values, and write the flow statistics to another memory.
* Flows are subsets of data packets with common values in the predetermined locations.

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### Potential Applications
* Network traffic analysis
* Intrusion detection systems
* Quality of Service (QoS) monitoring in networks

### Problems Solved
* Efficient processing and analysis of large volumes of network data
* Identification of patterns and anomalies in network traffic
* Improved network performance monitoring

### Benefits
* Enhanced network security
* Real-time monitoring and analysis of network traffic
* Optimization of network resources and performance


==Original Abstract Submitted==

an embodiment may involve digital circuitry configured to: (i) receive a plurality of data packets, (ii) calculate, based on content at a pre-determined set of locations within the data packets, respective hash values for each of the data packets, and (iii) store, in a first memory, metadata containing the respective hash values; and a plurality of processors configured to: (i) read, from the first memory, the metadata, (ii) aggregate, based on the respective hash values, the metadata into flow statistics of flows defined by the data packets, and (iii) write, to a second memory, the flow statistics, wherein the flows are subsets of the data packets having common values in each of the pre-determined set of locations.



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