Spatiotemporal Light Pattern Data Transmission in Datacenters
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Solution Overview
Problem
Datacenters face network congestion due to fixed bandwidth limitations in fiber connections, leading to inefficiencies and difficulties in handling data bursts, and existing solutions like routers and resource managers are inadequate in managing internet traffic, while also being prone to data corruption and throttling.
Innovation Solution
A datacenter computing system utilizing spatiotemporal patterns displayed on multiple nodes, where cameras capture and decode these patterns to transmit data efficiently, allowing for adaptable bandwidth and reduced serialization needs, using visible and near-visible light with multiple colors and intensity levels for encoding and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fiber connections are used for data transmission, then data can be transmitted between physical network devices, but fixed bandwidth limitations cause network congestion and inefficiency
Solution Approach 1:
The patent applies dynamics by transitioning from static fiber optic cables to dynamic light-based communication where display devices can dynamically adjust bandwidth allocation and multiple spatiotemporal patterns can be transmitted simultaneously, enabling adaptive bandwidth management that responds to real-time data transmission needs
Solution Approach 2:
The patent replaces the mechanical connection system of physical cables and connectors with an optical field-based transmission system using light patterns displayed in free space, eliminating the need for physical network devices and enabling more flexible, high-bandwidth data transmission
2Ease of operation
If routers and resource managers are used to manage internet traffic, then data routing is provided, but data corruption and throttling occur
Solution Approach 1:
The patent extracts the traffic management function from traditional routers and resource managers by implementing distributed intelligence where each node independently encodes and transmits its own data packets using light patterns, eliminating the need for centralized routing devices that cause bottlenecks and data corruption
Solution Approach 2:
Each node in the network performs self-service by autonomously encoding data into spatiotemporal light patterns and transmitting them directly to destination nodes without requiring external routing management, thereby improving data integrity and eliminating throttling caused by centralized controllers
3Speed
If traditional fiber connections are used, then data transmission occurs through cables, but network congestion and throttling reduce transmission speed
Solution Approach 1:
The patent transitions from one-dimensional data transmission through cables to multi-dimensional transmission by encoding data in spatiotemporal light patterns that utilize spatial distribution, temporal sequencing, color variations, and intensity levels, dramatically increasing the dimensionality of information encoding and transmission capacity
Solution Approach 2:
The patent employs periodic action through synchronized display refresh cycles where multiple spatiotemporal patterns are transmitted in rapid succession, with each pattern representing data packets that can be independently decoded, enabling high-speed parallel data transmission
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach simplifies data transmission by dynamically adjusting bandwidth, reduces data corruption, and enables faster, more efficient data transfer compared to traditional fiber connections, while allowing for verification of successful data transmission without central routing.
Implementation Method 1
using visible and near-visible light with multiple colors and intensity levels for encoding and decoding
Implementation Method 2
cameras capture and decode these patterns to transmit data efficiently
Data Source
AI summary
A system may include a first node having a first display device configured to display a first spatiotemporal pattern. A system may include a second node having a second display device configured to display a second spatiotemporal pattern. A system may include a camera. A system may include a means for selectively imaging one of the first spatiotemporal pattern and the second spatiotemporal pattern with the camera.


