Invention Grant
- Patent Title: Service plane optimizations with learning-enabled flow identification
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Application No.: US17592160Application Date: 2022-02-03
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Publication No.: US11777973B2Publication Date: 2023-10-03
- Inventor: Ramanathan Subramanian , Jeslin Antony Puthenparambil
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Polsinelli
- Main IPC: H04L9/40
- IPC: H04L9/40 ; H04L43/062

Abstract:
The disclosed technology relates to a process for optimizing data flow within a computer network. The technology utilizes shared memory and machine learning logic to improve the efficiency of how computing resources are used during a transmission of data packets in the computer network. The shared memory is implemented during the transmission of data packets between the data plane and the service plane so that the copying of data packets after the data packets have been received and processed by an application is not necessary. The machine learning logic is implemented during the processing of the data packets in order to adjust a frequency or extent that the data packets (and corresponding source of the data packets) need to be evaluated to ensure that malicious content is not being transmitted across the computer network.
Public/Granted literature
- US20220159027A1 SERVICE PLANE OPTIMIZATIONS WITH LEARNING-ENABLED FLOW IDENTIFICATION Public/Granted day:2022-05-19
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