Adaptive Polling Control Module for Information Handling Systems
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Solution Overview
Problem
Information handling systems face challenges in efficiently synchronizing data between local and remote data stores, particularly in adapting polling rates based on user behavior, location, and time, which affects data communication and storage efficiency.
Innovation Solution
The implementation of a polling control module within an information handling system that adjusts polling rates based on usage characteristics such as time, location, user profile, and system usage patterns, using a timer to control the frequency of polling requests and ensuring intermittent synchronization while conserving power by switching between active and low-power modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the polling rate is increased to improve data synchronization efficiency, then data synchronization efficiency is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic polling rate adjustment by transitioning from a fixed polling interval to a variable polling interval that adapts based on detected usage characteristics. The system monitors user activity patterns, location changes, and time of day to dynamically modify the polling rate, thereby optimizing the balance between data synchronization efficiency and power consumption according to actual usage conditions.
Solution Approach 2:
The system changes the polling rate parameter based on detected usage characteristics such as user activity level, location changes, and time of day. By modifying this key parameter dynamically rather than maintaining a constant value, the system achieves better synchronization efficiency when needed while reducing power consumption during low-activity periods.
2Productivity
If the polling rate is adjusted based on usage characteristics, then data synchronization efficiency is improved, but device complexity increases
Solution Approach 1:
The polling control module automatically detects usage characteristics and adjusts polling rates without requiring manual configuration or complex external control systems. The system self-monitors usage patterns, location changes, and time information, then autonomously modifies polling behavior, thereby improving synchronization efficiency while avoiding the complexity of manual intervention systems.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring usage characteristics and using this information to adjust polling rates. The polling control module receives feedback about user activity, location changes, and time of day, then uses this feedback to dynamically optimize polling behavior, achieving better synchronization efficiency through an adaptive closed-loop control system.
Data Source
AI summary
An information handling system is configured to poll a remote data store at an adaptable polling rate. The polling rate can be based on one or more usage characteristics of the information handling system, such as a time of day, geographical location, user profile, management profile, system usage pattern, or other usage characteristic. Between polling requests, the information handling system can be placed in a low-power mode, thereby conserving power.


