Heuristic Application Usage Control for Network Capacity Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing applications that introduce network load, such as streaming and network health checks, can adversely affect network performance without considering current network capacity.
Innovation Solution
Implementing heuristic rules based on dynamic variables, utilizing Elastic AI or Fuzzy Logic, to manage and control application usage by determining how many devices can transmit network testing data, adjusting based on past, present, and predicted network parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If applications transmit network testing data continuously, then network performance monitoring is improved, but network capacity is overloaded
Solution Approach 1:
The patent implements dynamic control of application usage by adjusting the number of devices transmitting network testing data based on current network capacity conditions. The system monitors network capacity in real-time and dynamically modifies transmission parameters, transitioning from static to dynamic operation to resolve the contradiction between monitoring reliability and network capacity utilization.
Solution Approach 2:
The system changes key parameters including the number of transmitting devices, transmission frequency, and data volume based on network capacity conditions. By adjusting these parameters dynamically, the system optimizes the balance between maintaining network performance monitoring and preventing network overload.
2Productivity
If heuristic rules dynamically control application usage, then network capacity utilization is optimized, but system complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors network capacity conditions and uses this information to adjust application usage through heuristic rules. The feedback loop enables automatic adaptation without manual intervention, optimizing network capacity utilization while managing complexity through rule-based decision making.
Solution Approach 2:
The system employs self-service mechanisms where applications automatically adjust their own usage patterns based on network capacity feedback. The heuristic rules enable the system to self-regulate without external control, reducing the need for complex centralized management while optimizing network resource utilization.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, accessing a heuristic rule associated with network data that is collectible by end user devices; determining a dynamic variable according to the heuristic rule; converting the dynamic variable to a value; adjusting, according to the value, a number of the end user devices that are to transmit the network data to a network device. Other embodiments are disclosed.


