Edge Sharing Orchestrator for Idle Device Resource Pooling
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Solution Overview
Problem
The existing technologies fail to effectively utilize the untapped computing power and network resources of idle devices, leading to a waste of potential resources and inefficient use of capabilities within local areas, as users tend to focus on specific devices for specific purposes without leveraging the collective potential of available devices.
Innovation Solution
The edge sharing orchestration system identifies and registers edge devices, determining which devices lack necessary computing power or functionality and then meshes additional resources from other devices to enhance the capabilities of the customer device, providing a novel or augmented service by pooling resources such as processing power, memory, or display capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users focus on specific devices for specific purposes, then device functionality is specialized, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent enables devices to serve multiple functions by allowing any device in the network to act as an edge device providing computing resources. Instead of dedicating specific devices to specific tasks, the system creates a universal resource pool where devices can be dynamically allocated for different purposes based on demand, transforming specialized devices into multi-functional resources.
Solution Approach 2:
The system merges resources from multiple individual devices into a unified edge computing resource pool. By combining processing power, storage, and other capabilities from various devices, the system achieves higher overall resource utilization while maintaining the specialized capabilities of individual devices through virtualized resource allocation.
2Adaptability or versatility
If new devices are deployed to provide additional computing power, then service capability is enhanced, but device complexity and cost increase
Solution Approach 1:
Instead of physically deploying new devices, the system creates virtual copies of computing resources by virtualizing and pooling resources from existing physical devices. This allows service capability to be enhanced through software-based resource allocation rather than hardware deployment, reducing physical complexity while maintaining service functionality.
Solution Approach 2:
The patent transitions from a physical dimension of device deployment to a virtual dimension of resource allocation. By implementing edge computing through virtualized resource pooling and dynamic allocation, the system enhances service capability in the virtual space without proportionally increasing physical device complexity.
3Productivity
If idle devices are utilized for edge computing, then resource utilization improves, but system coordination complexity increases
Solution Approach 1:
The patent introduces an intermediary orchestration layer that manages the coordination between idle devices and edge computing workloads. This intermediary system handles device discovery, resource pooling, and task allocation, simplifying the coordination complexity by providing a centralized management interface while enabling distributed resource utilization.
Solution Approach 2:
The system implements feedback mechanisms where the orchestration layer continuously monitors device availability, resource status, and workload demands. This feedback enables dynamic adjustment of resource allocation and device participation, optimizing resource utilization while adapting to changing system conditions and reducing coordination overhead through automated decision-making.
Data Source
AI summary
A network device includes a processor and a memory. The processor effectuates operations including instantiating an edge share orchestrator that identifies edge devices including a customer device. Edge share orchestrator also determines that the customer device lacks computing power or functionality to perform at least a portion of an existing or augmented service and identifies at least one additional device of the edge devices capable of providing additional computing power or functionality for performing the at least a portion of the existing service or augmented service associated with the customer device. Edge share orchestrator also meshes the additional computing power or functionality of the at least one additional device with the customer device and performs the at least a portion of the existing or augmented service associated with the customer device using the meshed additional computing power or functionality of the at least one additional device and the customer device.