Aggregated Link Traffic Protection for TDM QoS
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Solution Overview
Problem
Ethernet networks face challenges in supporting Quality of Service (QoS) requirements for time division multiplexed (TDM) data, particularly in terms of jitter and data loss, which limits its implementation in TDM networks like PSTN, despite its flexibility and scalability.
Innovation Solution
A system that transports high priority and low priority data over an aggregated link using a time division multiplexed pattern, where high priority data is duplicated across multiple links for redundancy and low priority data is distributed across links to maintain throughput, with nodes synchronized to ensure efficient multicasting and minimize data loss.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Ethernet packets are transported through the network with resource arbitration and buffers at nodes, then QoS requirements can be met, but network complexity increases
Solution Approach 1:
The data stream is segmented into high priority data and low priority data, which are then transmitted over different subsets of the aggregated links. High priority data is duplicated over multiple links while low priority data is distributed across remaining links, allowing QoS requirements to be met without requiring complex arbitration mechanisms at each node
Solution Approach 2:
The system performs preliminary classification and routing of data packets before transmission by identifying high priority packets and directing them through specific paths in the aggregated link. This pre-processing eliminates the need for complex real-time arbitration at intermediate nodes, reducing network complexity while maintaining QoS
2Reliability
If resource arbitration and packet prioritization are implemented at nodes, then data loss is reduced, but delay increases
Solution Approach 1:
The network path is segmented into multiple aggregated links, with high priority data transmitted over dedicated subsets of these links. This segmentation allows high priority packets to bypass contention and arbitration delays while still achieving reliable delivery through duplication across multiple paths
Solution Approach 2:
High priority data is copied and transmitted over multiple links simultaneously rather than using complex arbitration to select single paths. This copying approach ensures data loss prevention through redundancy while avoiding the delays associated with real-time arbitration and buffer management
3Reliability
If high priority data is duplicated over multiple links, then reliability is improved, but bandwidth consumption increases
Solution Approach 1:
The aggregated link is segmented into multiple subsets, with high priority data duplicated across specific subsets while low priority data is distributed across remaining subsets. This segmentation ensures that bandwidth is efficiently utilized by avoiding redundant transmission of low priority data while maintaining reliability for high priority data
Solution Approach 2:
Different quality levels of transmission are applied to different data types: high priority data receives redundant transmission across multiple links for maximum reliability, while low priority data is transmitted once across distributed links. This local quality differentiation optimizes bandwidth consumption by applying redundancy only where necessary
Data Source
AI summary
A network component comprising a processor configured to implement a method comprising communicating a data stream to a destination over a plurality of links, the data stream comprising a high priority data and a plurality of low priority data, wherein the high priority data is duplicated over at least two of the links, and wherein the low priority data is distributed over at least some of the links. Also disclosed is a method comprising receiving a plurality of data streams, each data stream comprising a high priority data and a low priority data, wherein each data stream is received on one of a plurality of links in an aggregated link, and wherein the high priority data in each data stream is substantially identical.