Networking Device Processing VLAN Packet Offload
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Solution Overview
Problem
Setting up and maintaining multiple dedicated computing devices or nodes for distributed processing is expensive, and existing technologies do not efficiently leverage networking infrastructure for parallelizing and accelerating computational activities.
Innovation Solution
A networking device with an embedded processor and machine-readable medium that receives data processing packets, executes instructions, and routes resultant data within a processing VLAN, allowing for distributed processing without the need for extensive node configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple dedicated computing devices or nodes are deployed for distributed processing, then computational processing capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies universality by enabling networking devices to perform dual functions: traditional network packet forwarding and computational processing. The networking device executes instructions received in data packets, allowing it to function both as a network intermediary and as a computing node, thereby eliminating the need for separate dedicated computing devices and reducing overall system complexity.
2Productivity
If multiple dedicated computing devices or nodes are deployed for distributed processing, then computational processing capability is improved, but resource consumption and expenditure increase
Solution Approach 1:
The patent implements self-service by having networking devices utilize their own idle processing resources to execute computational instructions. Instead of requiring external dedicated computing devices, the networking devices serve themselves by performing computations during periods when they are not fully engaged in network forwarding tasks, thereby reducing the need for additional computational resources and lowering overall energy consumption.
3Speed
If distributed processing is implemented with dedicated computing devices, then processing speed is improved, but ease of operation deteriorates due to extensive node configuration requirements
Solution Approach 1:
The patent uses an intermediary approach where a producer device sends computational instructions encapsulated within data packets through the existing network infrastructure to networking devices. This intermediary mechanism leverages the already-established network communication protocols and pathways, eliminating the need for complex direct configuration between computing nodes and simplifying the deployment and operation of distributed processing while maintaining high processing speed.
Data Source
AI summary
Example implementations relate to a networking device. For example, an implementation may receive a data processing packet identified as belonging to a processing virtual local area network. The networking device may execute an instruction associated with the data processing packet on data associated with the data processing packet and store resultant data in the payload of the data processing packet. The networking device may route the data processing packet with resultant data stored in the payload to a next device.