Segmented Data Transmission Over Redundant Paths
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Solution Overview
Problem
Existing redundant communication path transmission methods are inefficient as they fully replicate data along multiple paths, leading to excessive bandwidth usage and high costs, especially in scenarios requiring high redundancy, making it unfeasible in certain applications.
Innovation Solution
Implementing a redundant path transmission scheme that divides data transmission across multiple communication paths without full replication, allowing data to continue transmission via remaining paths in case of failures, thereby minimizing data loss and optimizing bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If full data replication is implemented across multiple communication paths, then reliability is improved, but bandwidth usage increases excessively
Solution Approach 1:
The data stream is divided into multiple segments that are transmitted across different communication paths. Each path carries a portion of the data rather than complete replicas, reducing total bandwidth consumption while maintaining reliability through distributed transmission.
Solution Approach 2:
Different segments of data are assigned to different communication paths based on local path characteristics and reliability requirements. This allows optimization of bandwidth usage by matching data segments with appropriate transmission paths rather than uniform replication.
2Reliability
If multiple redundant communication paths are implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The communication system is segmented into multiple independent paths, each handling specific data segments. This modular approach reduces overall system complexity by distributing functionality across simpler, independent transmission channels rather than requiring complex coordination in a single path.
Solution Approach 2:
The system implements partial redundancy by transmitting segmented data across multiple paths rather than full replication. This provides sufficient reliability for critical decisions while avoiding the excessive complexity that would result from complete data duplication across all paths.
3Productivity
If data transmission continues on remaining paths after failure, then productivity is maintained, but data loss occurs
Solution Approach 1:
Data is segmented and transmitted across multiple paths, so that when one path fails, only the specific segment on that path is lost while other segments continue transmission. This limits data loss to minimal portions while maintaining overall transmission productivity.
Solution Approach 2:
The system accepts that some data segments may be lost (disposed of) when a communication path fails, rather than attempting to preserve all data. This pragmatic approach maintains productivity by continuing transmission on remaining paths while accepting minimal data loss as an acceptable trade-off.
Data Source
AI summary
Data generated by one or more data producers may be transmitted via multiple communication paths according to a path transmission scheme that divides transmission of different portions of the data amongst different communication paths. Upon a failure of a communication path, transmission of data may continue for those portions of data that are not assigned to the failed communication path. In some embodiments, modifications to the path transmission scheme may be made to change the division of data amongst remaining communication paths in the event of failure.