Network Path Selection via Aggregate Performance Indicators
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing computing environments face performance issues due to statically configured data traffic load distribution across network paths, which fails to dynamically adjust to changing network conditions and computing environment performance.
Innovation Solution
A network device, such as a branch gateway, dynamically selects network paths by aggregating performance indicators of network paths and computing environments, using baseline values and standard deviations to optimize data communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data traffic load distribution is statically configured, then network path selection is simple and stable, but it cannot dynamically adjust to changing network conditions and computing environment performance
Solution Approach 1:
The patent implements dynamic network path selection by continuously monitoring performance indicators (latency, jitter, packet loss, bandwidth utilization) and automatically adjusting traffic distribution based on real-time conditions. The system transitions from static configuration to dynamic adaptation through automated decision-making algorithms that respond to changing network and computing environment states.
Solution Approach 2:
The system employs feedback mechanisms by collecting performance data from network paths and computing environments, analyzing this data through aggregation and comparison, and using the results to adjust traffic routing decisions. This closed-loop control enables continuous optimization of path selection based on actual system performance.
2Productivity
If aggregate performance indicators are used for path selection, then data communication performance is optimized, but the system complexity increases due to multiple performance metrics aggregation
Solution Approach 1:
The patent combines multiple performance indicators (network path metrics and computing environment metrics) into aggregate performance scores that enable comprehensive path evaluation. By merging these diverse metrics into unified comparison values, the system achieves holistic performance optimization without being overwhelmed by individual metric complexity.
Solution Approach 2:
The system transforms various performance parameters (latency, jitter, packet loss, bandwidth) into standardized aggregate indicators through mathematical operations including baseline comparison and standard deviation calculation. This parameter transformation enables apples-to-apples comparison across different metric types while maintaining the nuanced information each original parameter provides.
3Measurement precision
If multiple performance indicators are monitored, then path selection accuracy is improved, but the measurement and processing complexity increases
Solution Approach 1:
The patent divides the complex measurement task into separate components: network path performance monitoring (latency, jitter, packet loss, bandwidth) and computing environment performance monitoring (service response time, resource utilization). Each component is measured and analyzed independently, then integrated through aggregation to form comprehensive path evaluation scores.
Data Source
AI summary
In some examples, a network device receives first indicators of performances of a plurality of computing environments, and receives second indicators of performances of a plurality of network paths from the network device to the computing environments. The network device aggregates the first indicators and second indicators to produce aggregate indicators of performances of the network paths. The network device selects, based on the aggregate indicators, a selected network path of the plurality of network paths for communication of data through the network device between a client and a computing environment of the plurality of computing environments.