Sensor Data Priority Routing Across Edge and Cloud Servers
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Solution Overview
Problem
Edge computing systems face challenges in efficiently managing resources across multiple sites due to fluctuations in load, leading to potential processing delays when sudden increases in sensor devices or data volumes occur.
Innovation Solution
An information processing device that includes a sensor data collection unit, priority setting unit, and execution location determination unit to dynamically set priorities for sensor data based on surrounding situations and determine optimal processing locations, either edge servers or cloud servers, to ensure efficient resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If servers are distributed and arranged in a plurality of sites according to edge computing, then response time can be shortened and data distribution is improved, but computer resource per site is decreased making it difficult to cope with load fluctuation
Solution Approach 1:
The patent implements dynamic priority assignment and execution location determination that adapts to changing load conditions. The priority setting unit dynamically adjusts data priorities based on surrounding situations, and the execution location determination unit dynamically selects between edge servers and cloud servers, enabling the system to adapt to load fluctuations while maintaining short response times.
Solution Approach 2:
The system changes the parameter of execution location (from static edge server assignment to dynamic selection between edge and cloud servers) based on data priority and load conditions. This parameter change enables the system to optimize both response time and load distribution by routing different data to appropriate processing locations.
2Quantity of substance
If the number of sensor devices connected to a particular edge server site is suddenly increased or the volume of data to be processed is suddenly increased, then more data can be processed, but processing delay caused by pending occurs due to resource shortage
Solution Approach 1:
The execution location determination unit acts as an intermediary that routes data between edge servers and cloud servers based on priority and resource availability. When edge servers are overloaded, high-priority data is routed to cloud servers, preventing processing delays while maintaining the ability to handle increased data volumes.
Solution Approach 2:
The system dynamically adjusts the execution location of data processing based on real-time priority assessment and resource conditions. This dynamic routing prevents processing delays by redirecting data to available resources (cloud servers) when edge servers become overloaded.
3Device complexity
If static load leveling is used to distribute data across edge servers, then resource utilization is simplified, but the system cannot cope with sudden increases in load amount
Solution Approach 1:
The patent replaces static load leveling with dynamic priority-based execution location determination. The system continuously assesses data priorities and surrounding situations to dynamically route data to appropriate processing locations, enabling the system to respond to load fluctuations without excessive complexity.
Solution Approach 2:
The system changes the load management approach from static distribution to dynamic parameter-based routing, where execution location is determined by data priority and situational parameters. This enables flexible adaptation to load changes while maintaining manageable system complexity through automated decision-making.
Data Source
AI summary
An information processing device 1 of the present embodiment includes a sensor data collection unit 12 configured to receive sensor data from a sensor device 4, a priority setting unit 13 configured to set, when the sensor data is received, a priority for the sensor data based on a surrounding situation of the sensor device 4, and an execution location determination unit 14 configured to determine a logic group 2 or 3 that is to process the sensor data based on the priority.