Composable Infrastructure Workload Rebuild via Standby Resource Selection
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Solution Overview
Problem
Current computing systems face inefficiencies in managing resource devices, leading to performance issues due to inadequate resource allocation and failure handling, which affects workload performance and compliance with security and data compliance rules.
Innovation Solution
A method and system for managing resource devices through a resource allocation master list, which includes updating device statuses, selecting standby resources, and initiating replacements, to ensure efficient workload deployment and compliance, utilizing a management module to monitor and remediate resource usage and compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resource devices are allocated to workloads, then workload performance is improved, but resource utilization efficiency deteriorates when devices fail
Solution Approach 1:
The system performs preliminary actions by maintaining a standby resource device ready for immediate deployment. Before a failure occurs, the standby device is pre-configured and waiting in the resource allocation master list, enabling instant replacement when a device fails, thus preventing productivity loss.
Solution Approach 2:
When a resource device fails, the system automatically discards the failed device from active service and recovers it by deploying a standby device to take over its function. The failed device is removed from the workload allocation, and the standby device is activated and assigned to the same workload, maintaining continuous operation.
2Loss of time
If standby resource devices are maintained for quick replacement, then deployment time is reduced, but resource allocation complexity increases
Solution Approach 1:
The standby resource device is designed with multi-functionality to serve multiple purposes: it acts as a backup for any failed device in the workload, maintains a ready state for immediate deployment, and is tracked in the resource allocation master list. This universal design simplifies the replacement process while reducing time loss.
Solution Approach 2:
The system implements feedback mechanisms through the resource allocation master list that continuously monitors device status. When a device fails, the system receives feedback about the failure condition and automatically triggers the deployment of the standby device, creating a closed-loop system that reduces manual intervention and complexity.
3Reliability
If resource devices are monitored for compliance, then security and data rules are maintained, but system overhead increases
Solution Approach 1:
The resource allocation master list performs self-service by automatically tracking and monitoring compliance status of resource devices. The system self-monitors allocation states, device statuses, and compliance conditions without requiring external intervention, thereby maintaining security and data rules while minimizing additional system overhead.
Data Source
AI summary
A method for managing data includes obtaining, by a management module, a resource device replacement request specifying a first resource device, in response to the resource device replacement request: updating a resource allocation master list to specify a failed status of the first resource device, selecting a second resource device using the resource allocation master list based on a standby status of the second resource device, updating a resource device entry associated with the second resource device to specify an in use status of the second resource device, and initiating a resource device replacement for the second resource device.