Network Delay Analysis for Parallel Path Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional network delay analysis techniques fail to effectively identify and address parallel delays, which are crucial in applications with multiple concurrent paths, leading to incomplete understanding of delay reduction potential and inefficient network optimization.
Innovation Solution
A system and method that processes trace files to categorize and analyze both component and parallel delays, allowing users to visualize and quantify the reduction in overall delay by eliminating individual and combined delay components, facilitating targeted improvements in network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional delay analysis techniques are used to identify network delays, then individual delay components can be classified, but parallel delays cannot be effectively identified or addressed
Solution Approach 1:
The patent segments the overall delay analysis into two distinct categories: component delays (individual delay sources) and parallel delays (interactions between multiple delay sources). This segmentation allows the system to separately identify and analyze parallel delay effects that conventional techniques miss, while maintaining the ability to classify individual delay components.
2Speed
If the network path is optimized to reduce bandwidth delay, then transmission speed improves, but propagation delay remains unchanged
Solution Approach 1:
The patent applies local quality by providing different optimization strategies for different delay components. Bandwidth delay (affecting transmission speed) can be addressed through local optimizations such as increasing link capacity or improving protocol efficiency, while propagation delay (affecting time loss) requires different approaches such as routing changes or hardware upgrades. This localized approach allows targeted improvements without unnecessary trade-offs.
3Productivity
If additional network channels are provided to reduce bandwidth delay, then data flow capacity increases, but network complexity increases
Solution Approach 1:
The patent introduces an intermediary analysis layer that identifies parallel delays and their interactions before implementing network modifications. This intermediary step provides a roadmap for optimization, allowing network administrators to prioritize changes that yield the greatest improvement with the least added complexity, rather than blindly adding channels.
4Ease of operation
If bottleneck routing is modified to balance traffic distribution, then congestion delay reduces, but overall path delay may increase
Solution Approach 1:
The patent performs preliminary analysis of parallel delays and their interactions before implementing routing changes. By understanding how different delay components interact in parallel paths, the system can predict the end-to-end delay impact of traffic redistribution, allowing administrators to choose routing modifications that balance congestion relief with acceptable latency.
Data Source
AI summary
The embodiments facilitate the analysis of application delays, including delays that occur on multiple paths. A trace file of an application's network events is processed to categorize the causes of delays incurred in the propagation and processing of these events. The system identifies the amount of delay that can be eliminated by eliminating each of the components of delay individually, as well as the amount of delay that can be eliminated by eliminating combinations of the delay components. A user interface displays the amount of reduction that can be achieved by eliminating various delays alone or in combination. The interface also allows the user to view the individual delay components contained in combinations of delay components. In this manner, the user is provided a view of each of the delay components that would need to be addressed, either individually or in combination, to improve the overall application delay.