Pooling Action Data Structures to Reduce Bandwidth Usage
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Excessive network transmissions of network traffic data can lead to inefficient bandwidth utilization, processor overload, and delayed responses in computing devices, especially when the responding device is at or above its processing capacity, complicating data routing and degrading response quality.
Innovation Solution
A data processing system that pools action data structures based on overlapping subject matter, reducing redundant transmissions by merging them into a single pooled action data structure, which is then processed and transmitted, thereby reducing processor utilization, power consumption, and bandwidth requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data transmissions are increased to improve service coverage, then more devices can be served, but bandwidth utilization becomes inefficient and processor overload occurs
Solution Approach 1:
The patent merges multiple action data structures into a single pooled action data structure when they share overlapping subject matter. This consolidation reduces the number of separate transmissions required, thereby improving bandwidth utilization efficiency while maintaining the ability to serve multiple devices with related content requests.
2Productivity
If data transmissions are increased to serve more content requests, then service capacity improves, but processor utilization increases leading to overload and delayed responses
Solution Approach 1:
The system pools action data structures that share common subject matter into a single consolidated structure. This merging reduces the total number of processing operations required, as the system processes one pooled structure instead of multiple separate structures, thereby reducing processor utilization while maintaining service capacity.
3Loss of energy
If redundant transmissions are eliminated by pooling, then bandwidth usage decreases, but the complexity of data structuring increases
Solution Approach 1:
The patent segments the pooling process into distinct phases: identifying action data structures with overlapping subject matter, merging them into a pooled structure, and then transmitting the consolidated result. This segmentation manages the complexity by breaking down the structuring task into manageable steps while achieving significant bandwidth savings.
Data Source
AI summary
Disclosed are systems and methods for adjusting the frequency of data transmissions in a voice activated data packet based environment. A pooling component can generate first and second action data structures into a pooled data structure, and can transmit the pooled data structure to a service provider computing device to cause it device to perform an operation defined by the pooled data structure. Based on characteristics of the client devices, the system can select transmission rates for the transmission of operations associated with the pooled data structure to each of the client devices.