Network Device Capability Predictor for Traffic-Aware Performance
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Solution Overview
Problem
Network devices often fail to perform as expected due to mismatched advertised and actual performance characteristics, leading to suboptimal communication performance or over-provisioning, as their performance characteristics are measured under different traffic conditions than those encountered in deployment.
Innovation Solution
A network device capability predictor that uses a model to compute performance characteristics based on traffic information, including traffic profiles and cost parameters, to accurately assess a network device's capabilities under expected traffic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If performance characteristics are measured under standardized test conditions, then measurement consistency is improved, but accuracy under actual deployment conditions deteriorates
Solution Approach 1:
The patent changes the parameter being measured from standardized test metrics to actual deployment metrics. Instead of measuring performance under controlled test conditions, the system measures performance characteristics under the actual traffic conditions expected in deployment, thereby aligning measurement conditions with operational conditions and resolving the contradiction between measurement consistency and actual accuracy
Solution Approach 2:
The patent performs preliminary measurement of performance characteristics under expected deployment traffic conditions before the network device is fully deployed. This preliminary action allows the system to capture accurate performance data under realistic conditions while maintaining measurement consistency through controlled measurement procedures
2Reliability
If network devices are over-provisioned to ensure adequate performance, then reliability is improved, but resource utilization deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where measured performance characteristics under actual traffic conditions are used to determine appropriate provisioning levels. The system continuously monitors performance and adjusts provisioning decisions based on real feedback from the network device's actual behavior, eliminating the need for conservative over-provisioning while ensuring adequate performance
Solution Approach 2:
The patent replaces the mechanical approach of over-provisioning hardware resources with an intelligent software-based measurement and prediction system. Instead of adding more physical resources to ensure performance, the system uses computational models and actual traffic measurements to accurately predict performance and optimize resource allocation
3Productivity
If network devices are under-provisioned to optimize resource utilization, then productivity is improved, but reliability deteriorates
Solution Approach 1:
The patent uses feedback from actual performance measurements under deployment conditions to dynamically determine optimal provisioning levels. By continuously monitoring how the network device actually performs under real traffic conditions, the system can confidently provision resources at optimal levels without risking performance adequacy, thereby improving resource utilization while maintaining reliability
Data Source
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AI summary
A traffic profile or description of a mix of different types of traffic is provided to compute, using a model, a performance characteristic of a network device. The model relates a performance characteristic of the network device to parameters associated with different types of traffic.