Platform Framework Resource Dependency Graph for IHS
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Solution Overview
Problem
Existing Information Handling Systems (IHSs) face inefficiencies due to the need for each application to communicate directly with specific hardware endpoints, leading to software development burdens and parallel execution inefficiencies, especially when multiple applications request the same information from shared hardware resources.
Innovation Solution
A platform framework that manages configuration states by generating a resource dependency graph based on participant registrations, determining context changes, and notifying affected participants of resource availability, allowing for scalable and optimized access to hardware resources without requiring applications to know how to communicate directly with each endpoint.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If each application communicates directly with specific hardware endpoints, then hardware resource access is achieved, but software development complexity increases and parallel execution inefficiencies occur
Solution Approach 1:
The patent introduces a platform framework as an intermediary layer between applications and hardware endpoints. This framework manages hardware resource access centrally, maintaining a registry of hardware endpoints and their associated applications. The framework handles communication protocols and resource allocation, eliminating the need for applications to directly communicate with hardware endpoints. This resolves the technical contradiction by reducing software development complexity while maintaining efficient hardware resource access through the intermediary framework.
2Adaptability or versatility
If multiple applications request the same hardware resources, then resource utilization increases, but execution inefficiencies and conflicts arise
Solution Approach 1:
The patent implements a feedback mechanism within the platform framework that continuously monitors hardware resource availability and application requests. When multiple applications request the same hardware resources, the framework receives feedback about resource status and mediates allocation accordingly. The framework maintains a registry that tracks which applications have access to which hardware endpoints, enabling efficient resource sharing while preventing conflicts. This feedback-driven approach resolves the contradiction by enabling versatile resource sharing while maintaining execution efficiency through coordinated access control.
Data Source
AI summary
Embodiments of systems and methods for platform framework configuration state management are described. A platform framework of an IHS (Information Handling System) generates a resource dependency graph based on registrations of a plurality of platform framework participants, wherein the registrations of the participants specify use of resources accessed via the platform framework. A change in context of operation of the IHS is determined. Based on the context change, a change is determined in the availability of resources accessed via the platform framework. Based on the resource dependency graph, registered participants are identified that are affected by the change in platform framework resource availability. The affected participants are notified of the change in platform framework resource availability. In some embodiments, the registrations of the participants may specify a communication handle for notifying the participant of changes in the resource dependency graph.