Local Area Network Edge Cloud Resource Sharing for Low-Latency Processing
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Solution Overview
Problem
Current immersive technologies face challenges with processing capacity, storage capacity, energy consumption, and device weight due to high processing requirements, leading to computational latencies and uncomfortable user experiences, especially with devices like VR and AR headsets.
Innovation Solution
A method and apparatus that utilize the processing capacity of devices within a Local Area Network (LAN) to create a local cloud server by selecting a master device and configuring other devices as slaves, sharing resources to perform tasks efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If high-end hardware devices are used to meet processing requirements for immersive technologies, then processing capacity is improved, but device weight increases and user comfort deteriorates
Solution Approach 1:
The patent extracts the high-processing-capacity components from the wearable device and places them in remote cloud servers. The wearable device retains only lightweight components for basic functions, while complex tasks like video stream processing and rendering are offloaded to the cloud, eliminating the need for heavy local hardware.
Solution Approach 2:
The patent introduces a cloud-based intermediary system that mediates between the wearable device and processing requirements. The cloud servers act as intermediaries, receiving tasks from the wearable device, processing them remotely, and returning results, thereby eliminating the need for heavy local processing hardware.
2Productivity
If high processing capacity is provided locally, then computational speed is improved, but energy consumption increases
Solution Approach 1:
The patent extracts energy-intensive processing operations from the wearable device and relocates them to cloud servers with unlimited power supplies. This allows the wearable device to maintain high computational throughput while consuming minimal energy, as only lightweight communication and basic control functions run locally.
Solution Approach 2:
The patent moves the processing dimension from local (wearable device) to remote (cloud infrastructure). By transitioning computational tasks to a different spatial and energy dimension (cloud data centers with access to grid power), the system achieves high productivity without the energy constraints of battery-powered wearable devices.
3Power
If cloud computing is used for immersive applications, then processing requirements are met, but network bandwidth consumption increases and latency is added
Solution Approach 1:
The patent implements preliminary actions by pre-positioning processing resources in cloud servers and establishing persistent connections. Tasks are queued and processed in advance when possible, and the system maintains ready-state computational resources to minimize startup latency, ensuring immersive applications can leverage cloud power without significant delay.
Data Source
AI summary
A method for receiving, by a plurality of user devices within a Local Area Network (LAN), a request to create a local cloud within the LAN, selecting, by one of the plurality of user devices, a master device from among the plurality of user devices, and one or more devices from among the plurality of user devices based on a resource availability, requesting, by the master device, each of the one or more devices to share resources of the device for the local cloud, and configuring, by the master device, the one or more devices as the local cloud. The master device receives a service request for a service to be performed by the local cloud, and distributes a plurality of tasks corresponding to the service to the one or more devices configured as the local cloud according to the resource availability of the one or more devices.