Workload Health Monitoring via Hardware Tagging
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Solution Overview
Problem
Existing hardware management systems lack the ability to track workload status and health proactively, focusing solely on individual hardware devices rather than the overall workload, which can lead to inefficient corrective actions and missed business impacts.
Innovation Solution
A workload management system that tags hardware devices relative to workloads, generates business impact data, and applies policies based on workload criticality and monetary values to ensure proactive monitoring and corrective actions, allowing for enhanced workload execution and tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hardware devices are monitored individually, then hardware device status can be tracked, but workload health and business impact cannot be understood
Solution Approach 1:
The patent combines multiple hardware device monitoring data streams into a unified workload health view. By aggregating status information from individual hardware devices and correlating it with workload execution data, the system provides comprehensive workload health tracking while preserving business impact information that would be lost in discrete hardware monitoring.
Solution Approach 2:
The patent introduces a workload management system as an intermediary layer between hardware devices and stakeholders. This intermediary correlates hardware device status with workload performance and business impact, translating low-level hardware data into meaningful business context without losing critical information.
2Reliability
If discrete hardware device tracking is used, then individual device status is known, but proactive workload health management is impossible
Solution Approach 1:
The patent implements preliminary action by continuously monitoring hardware device status and predicting potential failures before they impact workload execution. The system correlates hardware trends with workload requirements to proactively identify and address issues before they cause catastrophic failures, enabling preventive rather than reactive management.
Solution Approach 2:
The patent establishes feedback loops that continuously monitor hardware device status, correlate it with workload performance, and provide real-time alerts when thresholds are breached. This feedback mechanism enables timely response to hardware issues while maintaining workload execution reliability.
3Ease of operation
If hardware management focuses on individual devices, then device-level control is achieved, but business-critical workload prioritization cannot be implemented
Solution Approach 1:
The patent creates a universal workload management framework that handles multiple hardware devices, workload types, and stakeholder requirements through a single correlated view. The system correlates diverse hardware devices with various workload categories (business-critical, non-critical) and applies unified management policies, simplifying operation despite underlying complexity.
Solution Approach 2:
The patent segments workloads into categories (business-critical, non-critical) and hardware devices into resource groups, allowing differentiated management strategies. This segmentation enables ease of operation by providing clear prioritization guidelines while managing the complexity of hardware-workload correlations through structured categorization.
Data Source
AI summary
Technology described herein relates to managing hardware device health related to a workload that is executable at an operation system. A system can comprise a processor, and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising tagging a hardware device of an operation system relative to a workload executable at the operation system, wherein the hardware device is employable to execute the workload at the operation system, and based on a performance indicator that corresponds to a change in status of the hardware device, generating business impact data representative of a business impact corresponding to an effect of the change in the status of the hardware device on the execution of the workload.