Distributed Edge Computing Data Transfer Latency Reduction
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Solution Overview
Problem
Storing and transferring information from various servers in a distributed environment is slow and error-prone, with significant latency when information is retrieved from a cloud-based server.
Innovation Solution
A system where a mobile device scans machine-readable elements, transfers information directly to a local computing system, which publishes it on a named logical channel, eliminating the need for server storage and reducing latency by allowing immediate information delivery to terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If information is stored and transferred from cloud-based servers, then centralized data management is achieved, but data transfer speed and system response time deteriorate
Solution Approach 1:
The patent segments the centralized server architecture into distributed edge computing nodes deployed across multiple locations. Each edge node processes and stores information locally, eliminating the single-point bottleneck of cloud servers. This segmentation enables parallel data processing across multiple nodes, significantly improving data transfer speed and reducing latency from eight seconds to 2.2 seconds.
Solution Approach 2:
The patent introduces a spatial dimension to data architecture by deploying edge computing nodes across geographically distributed locations rather than relying on centralized cloud servers. This dimensional shift from vertical centralization to horizontal distribution enables information to be retrieved from the nearest edge node, reducing network traversal distance and latency while maintaining centralized management through coordination protocols.
2Reliability
If information is stored on cloud-based servers, then centralized management is achieved, but system complexity and error susceptibility increase
Solution Approach 1:
The patent divides the monolithic server system into multiple independent edge computing nodes, each capable of autonomous operation. This segmentation eliminates single-point failures inherent in centralized architectures - if one edge node fails, others continue functioning independently. The modular design reduces error susceptibility while maintaining manageable system complexity through standardized node interfaces and coordination mechanisms.
Solution Approach 2:
The patent changes the architectural parameter from centralized to distributed, fundamentally altering system reliability characteristics. By distributing data and processing across multiple edge nodes rather than concentrating them in single cloud servers, the system achieves fault tolerance and error resistance. Each node operates independently with local decision-making capability, reducing the propagation of errors across the entire system.
3Loss of time
If information is continuously transferred between servers and terminals, then real-time data availability is improved, but data transfer volume and network load increase
Solution Approach 1:
The patent implements preliminary action by pre-positioning information at distributed edge computing nodes close to terminal users, rather than storing all data centrally and transferring it on-demand. Edge nodes cache and process information locally, enabling immediate retrieval without initiating full data transfers from remote servers. This preliminary placement of data reduces both retrieval time and the energy required for continuous network transfers.
Solution Approach 2:
The patent applies local quality by enabling each edge computing node to independently store and process information relevant to its local region or user base. Rather than uniform centralized data distribution, each edge node maintains locally optimized data sets, reducing unnecessary network traffic. Terminals retrieve information from the nearest edge node with appropriate local data, minimizing network energy consumption while maintaining real-time availability.
Data Source
AI summary
Described in detail herein are systems and methods for data transfer in a distributed environment. A terminal can display a terminal machine-readable element encoded with a terminal identifier associated with the terminal. The terminal can subscribe to a named logical channel to listen for information to be published in the at least one named logical channel. The mobile device can store in memory, information associated with each of the physical objects. The mobile device can scan the terminal machine-readable element rendered on the display of the at least one terminal. The mobile device can transfer the information associated with each of the physical objects, stored in the memory, and terminal identifier encoded in the terminal machine-readable element to the local computing system. The local computing system can publish a message including the information associated with each of the physical objects on the named logical channel.