Network Delay Estimation for Low-Latency Packet Prioritization
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Solution Overview
Problem
Current network technologies struggle with high throughput and low latency requirements for delay-sensitive applications due to network congestion and lack of accurate delay estimation methods, leading to sub-optimal path-selection and inefficient load balancing.
Innovation Solution
A delay estimation system that continuously monitors and estimates network delays with high precision, using methods like Data-link-layer Precision Trailer (DPT) and Transport-layer End-to-end Active Messaging (TEAM), to enable proactive packet dropping, dynamic load balancing, and adaptive QoS provisioning, ensuring timely data delivery and reducing congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If statistical multiplexing and best effort forwarding schemes are used, then network throughput is improved, but network latency increases and delay-sensitive applications suffer
Solution Approach 1:
The system performs preliminary delay estimation and packet expiration detection before packets actually expire. By estimating future delay using network calculus models and comparing against deadline requirements, the system proactively identifies packets that will miss their deadlines and drops them early, preventing futile transmission attempts and reducing overall network latency for delay-sensitive applications.
Solution Approach 2:
The system continuously monitors actual network delay and uses this feedback to update and refine its delay estimation models. By comparing estimated delays with actual measured delays, the system adapts its predictions to current network conditions, enabling more accurate proactive packet dropping decisions and dynamic QoS adjustments that balance throughput and latency requirements.
2Ease of operation
If accurate delay estimation methods are implemented, then path selection and load balancing are optimized, but system complexity increases
Solution Approach 1:
The system implements a universal delay estimation mechanism that serves multiple functions: estimating one-way delay, predicting packet expiration, optimizing path selection, and guiding load balancing decisions. By using a single network calculus-based estimation model to accomplish all these tasks, the system avoids the complexity of implementing separate specialized mechanisms for each function while achieving comprehensive optimization.
Solution Approach 2:
The patent introduces an intermediary delay estimation system that acts as a mediator between network infrastructure and applications. This intermediary layer provides abstracted delay predictions and expiration warnings to applications without requiring them to implement complex estimation algorithms themselves, thereby reducing application-side complexity while enabling optimized path selection and load balancing.
3Productivity
If proactive packet dropping is performed, then network congestion is reduced, but packet delivery reliability may be affected
Solution Approach 1:
The system performs preliminary delay estimation and compares it against deadline requirements before packets are transmitted or during early transmission phases. By identifying packets that will miss their deadlines based on current network conditions and predicted future delay, the system drops these packets proactively before they can consume network resources and cause congestion, while applications can request retransmission if needed.
Solution Approach 2:
The system dynamically adjusts QoS parameters including packet priority, deadline requirements, and dropping thresholds based on current network conditions and application requirements. By changing these parameters adaptively, the system optimizes the balance between proactive packet dropping for congestion prevention and maintaining delivery reliability for applications that require guaranteed delivery through retransmission mechanisms.
Data Source
AI summary
A network traffic management system prepares a map showing network delays updated through the transmission of regularly time-stamped messages. This map is then employed to prioritize packets, address quality of service requirements, or drop expired/expiring packets.