Queue Fill Level Control for Bandwidth-Efficient Data Storage
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Solution Overview
Problem
Existing data storage systems face challenges in managing fill levels efficiently, leading to excessive bandwidth usage when updating information about occupied addresses, which can result in inefficient data handling and storage.
Innovation Solution
A system that determines addresses for data storage based on fill levels, only updating information about occupied addresses when the fill level exceeds a predetermined limit, thereby conserving bandwidth and ensuring efficient data handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fill level information is continuously updated and transmitted, then storage management accuracy is improved, but bandwidth consumption increases
Solution Approach 1:
The system implements periodic updating of fill level information only when the fill level exceeds a predetermined threshold, rather than continuous updating. This threshold-based periodic action reduces bandwidth consumption while maintaining adequate storage management accuracy by transmitting information only when necessary.
Solution Approach 2:
The system changes the parameter of information transmission from continuous to event-driven based on fill level threshold. When the fill level parameter exceeds the predetermined threshold, information is transmitted; otherwise, transmission is suspended, thereby optimizing bandwidth usage while maintaining storage management effectiveness.
2Loss of energy
If fill level information is updated less frequently, then bandwidth consumption is reduced, but storage management efficiency deteriorates
Solution Approach 1:
The system employs feedback mechanisms where the fill level is continuously monitored and compared against a predetermined threshold. When the threshold is exceeded, feedback triggers an information transmission event, ensuring storage management efficiency is maintained only when necessary, thus optimizing bandwidth consumption.
Solution Approach 2:
Instead of fixed periodic updates, the system uses condition-based periodic action where information is updated only when the fill level crosses the threshold. This approach maintains storage management efficiency by ensuring updates occur at critical moments while minimizing unnecessary bandwidth consumption.
3Measurement precision
If address information is continuously transmitted, then data retrieval accuracy is improved, but bandwidth usage increases
Solution Approach 1:
The system extracts and transmits only the necessary address information when fill level threshold is exceeded, rather than continuously transmitting all address data. This selective extraction approach maintains data retrieval accuracy for active queues while significantly reducing overall bandwidth usage.
Solution Approach 2:
Address information transmission is implemented as periodic action triggered by fill level threshold crossing, rather than continuous transmission. This ensures address accuracy is maintained for relevant data while minimizing bandwidth consumption by transmitting information only when storage conditions warrant it.
Data Source
AI summary
An assembly where a number of receivers receiving packets for storing in queues in a storage and a means for de-queuing data from the storage. A controller determines addresses for the storage, the address being determined on the basis of at least a fill level of the queue(s), where information relating to de-queues addresses is only read-out when the fill-level(s) exceed a limit so as to not spend bandwidth on this information before it is required.