Edge Digital Twins for Cooperative Network Computing
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Solution Overview
Problem
Current network and cloud infrastructures face challenges in supporting the diverse Quality of Service (QoS) requirements of Intelligent Moving Objects (IMOs) like connected/autonomous vehicles, leading to network congestion and service delays due to reliance on central cloud interactions, which are inefficient and unreliable for V2I and V2V communications.
Innovation Solution
The creation of digital representations of physical IMOs in edge clouds within a distributed cloud computing environment, enabling a cooperative network computing platform where these digital representations perform tasks, relay data, and cache results, thereby reducing the load on central clouds and enhancing communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If physical IMOs interact directly with data/applications in the central cloud through V2I communication, then comprehensive data processing and storage are achieved, but network traffic increases and service delays occur
Solution Approach 1:
The patent segments the centralized cloud computing architecture into a distributed edge computing architecture. Digital representations of physical IMOs are created and deployed to edge clouds geographically distributed around the world. This segmentation allows data processing to occur locally at edge locations rather than requiring all data to travel to a central cloud, thereby reducing network traffic and service delays while maintaining comprehensive data processing capacity.
Solution Approach 2:
The patent introduces edge clouds as intermediary entities between physical IMOs and the central cloud. These edge clouds host digital representations that can process data locally and only communicate with the central cloud when necessary. This intermediary layer reduces the burden on direct V2I communication by handling routine data processing at the edge, thereby reducing network traffic and service delays.
2Ease of operation
If physical IMOs communicate through V2V using dedicated short-range communications, then direct peer-to-peer interaction is achieved, but communication range is limited to several hundreds of meters
Solution Approach 1:
The patent extends V2V communication beyond direct short-range interactions by introducing a digital representation dimension. Physical IMOs create digital representations in edge clouds that can communicate with each other across geographical distances. This adds a virtual dimension to communication, allowing IMOs to interact as if they were within range while actually being separated by much larger distances, thereby effectively extending communication range while maintaining direct peer-to-peer interaction capabilities.
3Loss of information
If multiple remote clouds are accessed sequentially to obtain traffic signal information, then comprehensive data retrieval is achieved, but network congestion increases
Solution Approach 1:
The patent implements preliminary action by pre-creating and deploying digital representations of physical IMOs to edge clouds before they are needed for data retrieval. These digital representations are positioned in advance in geographically distributed edge clouds, so when data is needed, it can be retrieved from the nearest edge cloud rather than requiring sequential access to multiple remote clouds. This preliminary deployment reduces network congestion while maintaining comprehensive data retrieval capability.
Data Source
AI summary
Systems and methods for identifying physical intelligent moving objects (IMOs); creating, for a first subset of the physical IMOs, digital representations in edge clouds of a distributed cloud computing environment, each digital representation representative of a physical IMO of the first subset of the physical IMOs; generating a cooperative network computing (CNC) platform that includes the digital representations of the first subset of the physical IMOs, each digital representation functioning as a CNC entity in the CNC platform for the corresponding physical IMO; identifying a CNC task of a first physical IMO of the plurality of physical IMOs; and performing, by a first digital representation of the representations that corresponds to the first physical IMO, the CNC task in the CNC platform, including accessing data associated with a second digital representation of the digital representations in the CNC platform to perform the CNC task at the first digital representation.