Adaptive App Connectivity Control for Power and Network Load
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Solution Overview
Problem
Contemporary devices consume significant resources, particularly in cellular communications, due to pervasive network connectivity which is inefficient and wasteful.
Innovation Solution
Implementing a dynamic connectivity management system that pauses and throttles network connections based on application-specific settings and user behavior patterns, reducing unnecessary connectivity to conserve power and resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If devices maintain pervasive connectivity to networks, then communication availability is improved, but resource consumption and power usage increase significantly
Solution Approach 1:
The system dynamically adjusts connectivity state based on real-time conditions. The connectivity manager monitors application requirements, network conditions, and device state to transition between connected and disconnected states, making the connectivity adaptive rather than static. This resolves the contradiction by maintaining connectivity only when necessary for communication availability while conserving resources during disconnection.
Solution Approach 2:
The system changes the connectivity parameter (connected/disconnected) based on varying conditions. By monitoring application-specific settings, usage patterns, and network conditions, the system adjusts the connectivity state parameter to optimize the balance between communication availability and resource consumption.
2Speed
If devices maintain continuous network connections, then communication responsiveness is improved, but network and server demands increase
Solution Approach 1:
Instead of continuous connection, the system implements periodic reconnection based on predicted usage patterns and application requirements. The connectivity manager schedules disconnections and reconnections periodically, maintaining communication responsiveness when needed while significantly reducing continuous network load on servers and networks.
3Loss of energy
If connectivity is paused to conserve resources, then power consumption is reduced, but communication availability decreases
Solution Approach 1:
The system performs preliminary actions by predicting future connectivity needs based on learned usage patterns and application settings. Before pausing connectivity, the system anticipates when disconnection will occur and prepares accordingly, ensuring that reconnection happens promptly when communication is needed, thus minimizing the impact on availability while maximizing energy savings.
Solution Approach 2:
The connectivity manager implements feedback mechanisms by monitoring application performance, user behavior, and communication patterns. This feedback loop allows the system to learn from past connectivity decisions and adjust future connectivity states to optimize the balance between power consumption and communication availability.
Data Source
AI summary
The disclosed technology is directed towards managing the establishment and maintenance of communication connectivity between a device and service. Condition data can indicate when to initiate a state change of a connection between a device and a server. Current device conditions associated with the device are evaluated to determine whether to initiate a state change, e.g., from a connected state to a paused state, or vice-versa. The connectivity may be managed per connection type, e.g., cellular versus Wi-Fi, and on a per-application basis, e.g., turned on for a social media application, off for mail and messaging applications. Settings can be used to manage connectivity for an application, e.g., sometimes connected, sometimes paused based on information specific to that application. Trends, user practices and schedule data can be used to predict and manage connectivity, as well as to notify the user to take some action.