Edge Probing for Network and Compute Performance Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current edge computing systems face challenges in meeting low latency and variability requirements due to network and computational delays, making it difficult to select optimal edge compute nodes that can support emerging applications with stringent performance needs.
Innovation Solution
Edge probing mechanisms are introduced to assess both network and computational performance by sending probe signals that request specific tests from edge compute nodes, providing time information and performance metrics to determine if nodes can meet application requirements, and selecting the most suitable nodes for optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If edge compute nodes are selected based on location proximity, then network latency is reduced, but computational processing delays may still exceed application requirements
Solution Approach 1:
The system performs preliminary probing actions before application deployment to measure both network latency and computational processing delays. By conducting these measurements in advance, the system can identify edge compute nodes that will meet application performance requirements, preventing selection of unsuitable nodes and ensuring reliability compliance before actual application execution.
Solution Approach 2:
The probing mechanism provides feedback about actual network and computational performance metrics to the selection process. This feedback loop allows the system to adjust node selections based on measured performance data, ensuring that both network latency and computational delay requirements are met, thereby resolving the contradiction between proximity-based selection and performance compliance.
2Measurement precision
If comprehensive performance testing is conducted on edge compute nodes, then selection accuracy is improved, but system complexity and measurement difficulty increase
Solution Approach 1:
The probing mechanism is designed as a universal tool that can measure multiple performance metrics (network latency, computational processing delay, bandwidth) through a single integrated system. This multi-functional approach improves measurement precision across all metrics while avoiding the complexity of implementing separate measurement systems for each parameter.
Solution Approach 2:
The system combines network performance testing and computational performance testing into a unified probing mechanism. By merging these measurements into a single coordinated process, the system achieves comprehensive performance assessment without the overhead of managing separate complex measurement systems, thereby improving precision while controlling complexity.
3Productivity
If multiple edge compute nodes are probed to find optimal performance, then application performance is improved, but network bandwidth consumption and probing time increase
Solution Approach 1:
The system probes a limited subset of edge compute nodes rather than all available nodes, using performance metrics and location data to identify the most promising candidates first. This partial action approach finds sufficiently optimal nodes with minimal probing, reducing network bandwidth consumption while still achieving high application performance through selective measurement of key nodes.
Solution Approach 2:
The system performs preliminary filtering based on location and basic metrics before conducting comprehensive probing, prioritizing nodes that are most likely to meet performance requirements. This preliminary action reduces the number of nodes requiring extensive probing, thereby minimizing network bandwidth consumption while maintaining high productivity through focused measurement of selective candidates.
Data Source
AI summary
Described herein are systems and methods of for measuring and assuring performance in networked applications where edge computing is utilized, which may comprise determining or improving network and computational performance by the use of edge probing. Edge probing enables rapid measurement and assessment of networking and computational performance, where performance comprises speed latency, for a device using an edge compute node. Edge probing can be used to assess performance of and assign converged networking and computing infrastructure to applications and devices.