Network Device Popularity-Based Data Transmission Control
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Solution Overview
Problem
Data distribution networks face challenges due to limited capacity in devices such as routers and servers, which can lead to issues in transmitting data efficiently, especially when bandwidth is constrained, necessitating a system to manage communication effectively.
Innovation Solution
A system and method that utilize a popularity module to determine whether a data source meets specific criteria before authorizing data transmission, ensuring that only popular data sources are sent when network capacity thresholds are met, thereby maintaining quality of service and preventing overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data transmission is authorized when network capacity is available, then data communication efficiency is improved, but network overload occurs when capacity thresholds are exceeded
Solution Approach 1:
The system dynamically changes the parameter of data transmission authorization based on network capacity thresholds. When the first capacity threshold is exceeded, the system transitions from authorizing all data transmissions to selectively authorizing only popular data sources, thereby adapting to changing network conditions and preventing overload while maintaining efficiency for high-demand content.
Solution Approach 2:
The patent implements dynamic control of data transmission authorization by continuously monitoring network capacity and adjusting authorization decisions in real-time. The system transitions between different authorization states (authorized vs. not authorized) based on whether capacity thresholds are exceeded, creating a dynamic response to network conditions that balances efficiency and stability.
2Adaptability or versatility
If all data sources are authorized for transmission, then data availability is improved, but network capacity is consumed by unpopular data sources
Solution Approach 1:
The system applies different authorization qualities to different data sources based on their popularity characteristics. Popular data sources (those meeting the popularity criterion) receive authorized transmission status while unpopular data sources receive non-authorized status. This local differentiation of transmission rights ensures that network capacity is allocated according to actual demand patterns rather than treating all data sources uniformly.
Solution Approach 2:
The system changes the authorization parameter selectively based on data source popularity. By evaluating whether each data source meets the popularity criterion, the system dynamically adjusts the authorization parameter for each source, allowing popular content to consume network capacity while preventing unpopular content from contributing to capacity consumption without providing corresponding value.
3Reliability
If network capacity threshold monitoring is implemented, then quality of service is maintained, but system complexity increases
Solution Approach 1:
The system performs preliminary determination of data source popularity before making authorization decisions. By pre-evaluating whether data sources meet the popularity criterion and storing this information, the system avoids complex real-time analysis during capacity threshold monitoring, simplifying the control logic while maintaining quality of service through proactive population-based filtering.
Data Source
AI summary
A method includes, in response to determining that a distribution capacity of a network device exceeds a first distribution capacity threshold and that the distribution capacity of the network device does not exceed a second distribution capacity threshold, determining, at the network device, whether a data source satisfies a popularity criteria. The method includes, in response to determining that the data source satisfies the popularity criteria, sending, from the network device, data associated with the data source to a user device.