Feature Host Process Management for On-Demand OS Resource Use
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Solution Overview
Problem
Existing information handling systems face inefficiencies due to the constant execution of multiple operating system processes, which consume significant system resources such as CPU and memory, even when these processes are not needed.
Innovation Solution
Implementing a system that dynamically discovers and manages the execution of feature host processes at runtime, activating only those needed by other processes and terminating unnecessary ones, thereby minimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple OS processes are executed to isolate shared features and enable interprocess communication, then feature sharing and application functionality are improved, but system resource consumption (CPU, memory, battery) increases
Solution Approach 1:
The system dynamically manages OS process execution by monitoring feature usage requirements and adjusting which feature host processes are active. Processes are started only when their features are needed and terminated when not needed, transforming the static always-on process model into a dynamic on-demand model that adapts to current system state and usage patterns.
Solution Approach 2:
The system discards (terminates) feature host processes when their features are no longer needed by any client applications, and recovers (restarts) them when features become needed again. This cyclic discard-recover pattern allows the system to eliminate unnecessary processes to save resources while maintaining the ability to restore functionality when required.
2Speed
If feature host processes are kept running continuously to ensure immediate feature availability, then service responsiveness is improved, but system resource overhead increases
Solution Approach 1:
The system performs preliminary actions by pre-loading or pre-initializing feature host processes when features are first requested, rather than waiting for each individual feature access. Once a feature host process is started, it remains available to serve multiple subsequent requests, reducing the frequency of process launches while still providing responsive service.
Solution Approach 2:
A single feature host process is designed to host multiple features and serve multiple client applications simultaneously. This multi-functional approach allows one process to replace what would otherwise require multiple separate processes, reducing the total number of active processes while maintaining comprehensive feature availability.
3Loss of time
If client applications pre-start all needed OS processes to ensure feature readiness, then feature access speed is improved, but system resource usage increases even when features are not needed
Solution Approach 1:
The system implements feedback mechanisms that monitor which features are actually being used by client applications and use this information to dynamically adjust the set of active feature host processes. This feedback loop allows the system to respond to actual usage patterns rather than anticipating all possible needs, eliminating waste while maintaining performance for actively used features.
Solution Approach 2:
The system changes the operational parameters of feature host processes by adjusting their execution state (running, suspended, or terminated) based on current demand. This parameter adjustment allows the system to optimize between having processes ready to run (fast access) and having them terminated (low resource usage), shifting along this spectrum based on real-time conditions.
Data Source
AI summary
Systems and methods are provided that may be implemented to manage execution of multiple processes that are executable on a programmable integrated circuit of an information handling system in a way that minimizes the impact of executing these multiple processes on the operating system and on the hardware resources of the information handling system. In one embodiment, the disclosed systems and methods may be implemented to dynamically discover features implemented by or otherwise hosted by individual OS processes (or feature host processes) at runtime and to allow a group of multiple feature host processes to share their features via interprocess communication to deliver a cohesive software experience, while at the same time minimizing the impact of these group of feature host processes on the operating system and the hardware resources of an information handling system on which they are executable.


