Event-Driven Network Data Collection for Datacenter Adaptability

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Solution Overview

Problem

Conventional networking and computing systems in datacenters fail to effectively capture low-level packet data at a sufficient frequency, leading to sparse measurement data and inadequate adaptability to dynamically changing conditions.

Innovation Solution

A network data collection and processing infrastructure within a datacenter cluster, where networked devices generate event-driven data packets that are aggregated and processed by a centralized computing device, enabling local configuration updates to manage operations without burdening external systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If networked devices generate and transmit event-driven data packets to a centralized computing device for processing, then real-time data processing and adaptability to dynamic conditions are improved, but network bandwidth consumption and system complexity increase

Engineering Contradiction:

Improveadaptability to dynamically changing conditionsVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments data processing by separating data collection (performed by networked devices) from data analysis and decision-making (performed by the centralized computing device). Networked devices generate and transmit only essential event-driven data packets, while the centralized device processes this data to generate configuration updates. This segmentation enables real-time adaptability without requiring every networked device to have complex processing capabilities.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system implements a feedback loop where the centralized computing device receives event-driven data packets, processes this information, generates configuration updates, and transmits these updates back to networked devices. This feedback mechanism enables continuous adaptation to dynamic conditions, allowing the system to respond to changing network states in real-time while maintaining manageable complexity through centralized intelligence.

Inventive Principle:

Principle #23Feedback

2Productivity

If networked devices aggregate event-driven data entries in local data buffers before transmission, then data processing efficiency and real-time response are improved, but data buffer management complexity and potential data loss increase

Engineering Contradiction:

Improvedata processing efficiencyVSAvoiddata completeness

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

Networked devices perform preliminary actions by aggregating event-driven data entries in local data buffers before transmitting to the centralized computing device. This buffering mechanism allows devices to collect and prepare data locally, improving processing efficiency and enabling real-time responses. The centralized device then processes these aggregated data packets to generate appropriate configuration updates.

Inventive Principle:

Principle #10Preliminary action

3Use of energy by moving object

If the centralized computing device determines configuration updates locally based on received data packets, then computational overhead on networked devices is reduced, but the centralized device becomes a single point of failure and bottleneck

Engineering Contradiction:

Improvecomputational overheadVSAvoidsystem reliability

Core Design Contradiction:

Use of energy by moving objectVSReliability

Solution Approach 1:

The system implements self-service by having networked devices autonomously generate and transmit event-driven data packets based on local conditions. The centralized computing device processes this data and generates configuration updates without requiring constant intervention or complex processing at the networked device level. This approach reduces computational overhead on networked devices while maintaining system reliability through centralized coordination.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20250317352A1Systems and devices for network data collection, transmission, and processing

Publication Date: 2025.10.09 MELLANOX TECHNOLOGIES LTD(IL)

AI summary

Systems and devices for network data collection and processing are provided. An example system includes a first networked device and a centralized computing device communicably coupled with the at least one networked device. The first networked device operates to generate event-driven data entries associated with the first networked device and generate first data packets including the event-driven data entries and/or manipulated outputs generated based on manipulations to the event-driven data entries. The centralized computing device receives the first data packets from the first networked device and determines configuration updates based on the first data packets. The configuration updates are generated locally by the centralized computing device, and the centralized computing device transmits the one or more configuration updates to the first networked device.