Orchestrator for Interrupted Workflow Notification in Heterogeneous Computing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In heterogeneous computing platforms, managing interrupted workflows and user engagement effectively across diverse devices and operating systems is challenging due to the lack of standardized methods for real-time user presence and usage mode inference, leading to inefficiencies in resource management and user experience.
Innovation Solution
Implementing a system where a heterogeneous computing platform with multiple devices and firmware services, including an orchestrator, captures user presence and engagement telemetry data to enact notifications and adjust settings such as power conservation and audio muting, ensuring seamless workflow management and user engagement monitoring across various devices and OS environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If real-time user presence and engagement monitoring is implemented across heterogeneous devices, then user experience and workflow management are improved, but system complexity and resource consumption increase
Solution Approach 1:
The patent introduces an orchestrator component that acts as an intermediary between diverse firmware services on heterogeneous devices and the upper-level workflow management system. This orchestrator standardizes communication protocols and data formats, enabling seamless coordination without requiring each device to implement complex monitoring logic independently, thus improving workflow management while controlling system complexity
Solution Approach 2:
The patent implements a universal firmware service architecture where each device runs standardized firmware services that can perform multiple functions including user presence detection, engagement monitoring, and workflow state reporting. This multi-functional approach eliminates the need for device-specific custom implementations, reducing overall system complexity while maintaining comprehensive monitoring capabilities
2Measurement precision
If comprehensive telemetry data collection is performed across all devices, then user engagement detection accuracy is improved, but energy consumption and processing load increase
Solution Approach 1:
The patent implements local quality by having each device's firmware service collect and process only the specific telemetry data relevant to its local context and capabilities. Rather than uniformly collecting all possible data types from every device, the system tailors data collection to local needs, improving detection accuracy for specific engagement metrics while minimizing unnecessary energy consumption from redundant data gathering
Solution Approach 2:
The system employs partial action by collecting telemetry data at optimized frequencies and depths based on current workflow states and user engagement levels. When user engagement is high or workflow criticality is low, data collection intensity is reduced to conserve energy. Conversely, when engagement drops or workflow importance increases, the system intensifies monitoring, achieving accurate detection only when necessary
3Productivity
If dynamic workflow interruption notifications are enacted, then user productivity is improved, but system response time and processing overhead increase
Solution Approach 1:
The patent implements preliminary action by pre-configuring workflow templates with defined interruption conditions, notification preferences, and recovery procedures. When user presence or engagement state changes, the orchestrator can immediately enact pre-planned workflow interruptions and notifications without requiring complex real-time decision logic, thus improving user productivity while minimizing system response time
Solution Approach 2:
The system employs feedback mechanisms where the orchestrator continuously monitors telemetry data from all devices and provides real-time feedback to adjust workflow execution dynamically. When user engagement metrics indicate potential workflow interruption risks, the system proactively notifies users and can automatically adjust workflow parameters, improving productivity through timely responses while maintaining efficient processing through event-driven architecture
Data Source
AI summary
Systems and methods for interrupted workflow notification and performance management in heterogeneous computing platforms are described. In an illustrative, non-limiting embodiment, an IHS may include a heterogeneous computing platform and a memory coupled to the heterogeneous computing platform, where the memory includes a plurality of sets of firmware instructions, where each of the sets of firmware instructions, upon execution by a respective device among a plurality of devices of the heterogeneous computing platform, enables the respective device to provide a corresponding firmware service, and where at least one of the plurality of devices operates as an orchestrator configured to obtain and configure IHS user presence and/or engagement, and IHS usage mode inference, IHS telemetry data, and in response to the presence, engagement and/or usage mode telemetry data, enact interrupted user workflow notifications to one or more IHS components to enact one or more interrupted user workflow actions.