Adaptive Plugin Prioritization via Weighted Queues
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Solution Overview
Problem
As the number of software applications in an Information Handling System (IHS) increases, resource contention and footprint growth occur, leading to inefficient resource management and potential exhaustion, as applications manage their own resources without effective deallocation.
Innovation Solution
Implementing a method that uses progressively weighted queues to manage plugin commands, where incoming commands are routed based on time constraints, and plugins are activated and deactivated in groups learned through monitoring, to optimize resource allocation and usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of software applications in an IHS increases, then functionality and versatility are improved, but resource contention and footprint growth occur leading to inefficient resource management
Solution Approach 1:
The system proactively activates plugins before they are needed by analyzing historical command patterns and user behavior. This preliminary activation ensures that when commands arrive, the required plugins are already loaded and ready to process, eliminating activation delays and ensuring immediate responsiveness to user needs.
Solution Approach 2:
The plugin activation state is made dynamic rather than static. The system continuously monitors command queues, analyzes activation patterns, and adjusts which plugins remain active in real-time. This dynamic approach allows the system to adapt its resource footprint to actual usage patterns, keeping frequently needed plugins active while deactivating rarely used ones to conserve resources.
2Ease of operation
If software applications manage their own use of system resources, then autonomy and ease of operation are improved, but resource contention increases and systematic resource exhaustion occurs
Solution Approach 1:
The patent introduces a plugin service as an intermediary layer between the operating system and individual plugins. This service maintains a centralized command queue, monitors resource usage patterns, and coordinates plugin activation across the system. By acting as a mediator, it enables individual plugins to operate autonomously while preventing resource contention and systematic exhaustion through centralized resource management.
3Quantity of substance
If plugins are activated on-demand, then resource footprint is reduced, but system responsiveness decreases due to activation delays
Solution Approach 1:
The system proactively activates plugins before they are needed by analyzing historical command patterns and user behavior. This preliminary activation ensures that when commands arrive, the required plugins are already loaded and ready to process, eliminating activation delays and ensuring immediate responsiveness to user needs.
Solution Approach 2:
The system implements a feedback mechanism that continuously monitors command queue characteristics, plugin activation patterns, and system resource states. This feedback loop enables the plugin service to learn from historical data and make intelligent predictions about which plugins will be needed next, adjusting activation strategies dynamically to balance resource footprint with system responsiveness.
4Productivity
If multiple plugins are activated to handle incoming commands, then processing capability is improved, but resource contention increases
Solution Approach 1:
The patent implements a unified plugin service that provides centralized command queue management, plugin activation coordination, and resource allocation for all plugins in the system. This universal service handles resource contention and coordination for multiple plugins simultaneously, enabling them to work together efficiently without conflicting for system resources, thus maintaining high processing capability while minimizing resource contention.
Data Source
AI summary
Methods and systems are provided for supporting operation of a plurality of software plugins of an IHS (Information Handling System). Incoming plugin commands are received and stored to a queue of a plurality of progressively weighted queues. The weighted queue is selected for storing the incoming plugin command based on a time constraint associated with the command. A proximate command is selected for processing from a queue of the plurality of weighted queues based on a weighted time for processing the proximate command. A recipient plugin of the proximate command is determined. Any plugin groups that the recipient is a member of are identified. The plugins of the first plugin group, including the recipient plugin, are activated to allocate use of IHS resources to the activated plugin.


