Edge Computing Device Recommendation via Dynamic State Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional edge computing services are limited by the availability and resource constraints of fixed edge devices, leading to service unavailability and inefficiencies in IoT environments, particularly in scenarios where edge devices are not always connected or have insufficient resources.
Innovation Solution
An edge computing system and method that dynamically identifies and recommends suitable devices for connection within a network, utilizing a processor to transmit device information, acquire operation state information, and generate lists of connectable devices through edge computing, enabling flexible and resource-efficient edge-leaf connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed edge device is used for edge computing service, then the service can be provided through dedicated hardware, but the service becomes unavailable when the device moves or lacks resources
Solution Approach 1:
The system dynamically selects edge devices based on real-time operation state information rather than using a fixed device. The processor acquires operation state information from multiple external devices and generates recommendation lists that change according to current device states, enabling the system to adapt to device movement and resource availability changes while maintaining service reliability
Solution Approach 2:
Multiple external devices are identified as potential edge computing devices, allowing any device in the network to serve as an edge device based on its current state. This multi-functionality approach ensures that if one device becomes unavailable, another can take over, thereby improving service availability without requiring dedicated fixed hardware
2Power
If edge computing resources are secured on fixed devices, then processing capability is ensured, but resource constraints limit service provision when resources are insufficient
Solution Approach 1:
The system acquires operation state information from external devices and uses this feedback to dynamically generate recommendation lists. The processor continuously monitors device states such as resource availability and processing capability, adjusting recommendations based on real-time feedback to optimize both processing capability and service efficiency
Solution Approach 2:
The system changes the parameters used for device selection from static device identity to dynamic operation state parameters. By acquiring and evaluating real-time operation state information including resource availability and processing capability, the system optimizes the selection of edge devices to balance processing power and service efficiency
3Ease of operation
If conventional edge computing service is provided through fixed modules, then service delivery is simplified, but the service cannot adapt to changing network conditions and device states
Solution Approach 1:
The system transitions from static fixed module service delivery to dynamic adaptive service delivery. The processor dynamically generates recommendation lists based on real-time operation state information, allowing the service to adapt to changing network conditions and device states while maintaining ease of operation through automated dynamic selection
Data Source
AI summary
An electronic device may include a communication module, a memory, and a processor operatively connected to the communication module and the memory, wherein the processor is configured to: transmit device information of the electronic device to an external server using the communication module; receive, from the external server, first recommendation information including a list of at least one external device which can be connected to the electronic device through edge computing; request transmission of operation state information from the at least one external device included in the first recommendation information; acquire the operation state information of the at least one external device; and, based on the operation state information of the at least one external device, acquire second recommendation information including a list of at least one external device to be connected through edge computing.