Hypercube Network Data Transmission Optimization

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Solution Overview

Problem

In hypercube networks, efficiently determining the optimal processing device for consolidating data from multiple locations to minimize network bandwidth usage is challenging, especially when data volumes are high and bandwidth is low.

Innovation Solution

A method that determines the most common digit for each address of processing devices storing data, generates a new address based on these common digits, and transfers data to the processing device with this new address to minimize network traffic.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If data is transmitted to a randomly selected processing device, then data transmission can proceed, but network bandwidth consumption increases and throughput decreases

Engineering Contradiction:

ImprovethroughputVSAvoidnetwork bandwidth consumption

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The patent changes the parameter of destination selection from random to optimal by calculating the center of the set of processing devices based on their hypercube addresses. This determines the processing device that minimizes total transmission distance, thereby reducing network bandwidth consumption and improving throughput.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces the mechanical/random data transmission approach with an intelligent calculation system that computes the optimal destination by analyzing hypercube addresses and determining the center point, substituting brute-force transmission with calculated optimization.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Loss of energy

If data is transmitted to minimize transmission distance, then network bandwidth is saved, but determining the optimal destination requires calculating addresses and comparing processing devices

Engineering Contradiction:

Improvenetwork bandwidth consumptionVSAvoidaddress calculation and comparison complexity

Core Design Contradiction:

Loss of energyVSDevice complexity

Solution Approach 1:

The patent implements self-service by having the system automatically calculate and determine the optimal destination processing device without external intervention. The hypercube network itself performs the address analysis and center calculation to identify the best transmission target.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent transforms the complex problem of finding optimal destination into a systematic parameter calculation process by using hypercube address properties to compute the center point, making the complexity manageable through mathematical formulation.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11140127B2Optimising data transmission in a hypercube network

Publication Date: 2021.10.05 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

A method of operating a hypercube network of processing devices includes determining that a plurality of the processing devices are storing data to be processed at a single processing device, obtaining the addresses of the plurality of processing devices storing the data to be processed, determining the most common number for each digit of the addresses of the plurality of processing devices storing the data to be processed, generating a new address comprising the determined most common number for each digit, and transferring the data to be processed to the processing device with the generated new address.