Automated IT Workload Management System
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Solution Overview
Problem
Current information technology (IT) management systems require manual labor-intensive operations to adapt to dynamic workloads, leading to high costs, slow response times, and increased error likelihood due to the lack of automated and integrated solutions for resource management across heterogeneous IT environments.
Innovation Solution
An automated IT workload management system that integrates hardware and software components, enabling dynamic commissioning, de-commissioning, and re-commissioning of resources, including servers, storage, and network elements, with minimal supervision, using a resource management module that detects conditions and autonomously takes corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual processes are used to adapt computing infrastructure to dynamic workloads, then flexibility in resource allocation is achieved, but response time increases and error likelihood increases
Solution Approach 1:
The system enables self-service automation where the computing infrastructure automatically detects workload changes and reallocates resources without human intervention. The workload management system monitors system metrics, detects conditions requiring adaptation, and autonomously performs resource allocation decisions, eliminating manual processes while maintaining flexibility.
Solution Approach 2:
The system implements continuous feedback loops where workload metrics are monitored, analyzed, and used to trigger automatic resource reallocation. The system detects changes in workload patterns, processes this information through decision logic, and adjusts resource allocation accordingly, creating a closed-loop control system that responds dynamically to changing conditions.
2Adaptability or versatility
If manual IT management operations are performed, then resource allocation can be adjusted to meet business needs, but administration costs increase
Solution Approach 1:
The workload management system performs self-service operations by automatically detecting workload conditions and executing resource allocation decisions without human intervention. This automation eliminates the need for manual IT operations while maintaining the ability to adapt resources to business needs, thereby reducing administration costs.
Solution Approach 2:
The system replaces manual mechanical operations with automated electronic processes. Instead of human operators physically configuring resources, the system uses software-based workload management to automatically detect conditions and perform resource allocation through electronic control mechanisms.
3Reliability
If more IT management resources are deployed to handle dynamic workloads, then system reliability improves, but resource utilization efficiency decreases
Solution Approach 1:
The system implements dynamic resource allocation where the amount of IT management resources deployed varies based on actual workload conditions. Instead of maintaining fixed over-provisioned resources, the system automatically scales management resources up or down according to detected workload patterns, ensuring reliability when needed while optimizing utilization during normal operation.
Solution Approach 2:
The system changes operational parameters of IT management resources based on workload conditions. It monitors system metrics and adjusts resource allocation parameters dynamically, allocating additional management resources only when workload conditions indicate a need for enhanced reliability, rather than maintaining constant high-level resource provisioning.
4Loss of time
If automated workload management is implemented, then response time to workload changes improves, but system complexity increases
Solution Approach 1:
The workload management system is designed as a universal platform that handles multiple workload types and management scenarios through a single integrated system. It provides multi-functional capabilities including workload detection, analysis, decision-making, and resource allocation within one cohesive architecture, reducing overall system complexity compared to multiple separate specialized systems.
Solution Approach 2:
The system introduces a workload management intermediary layer between the computing infrastructure and business applications. This intermediary automatically detects workload conditions and mediates resource allocation decisions, providing fast response times while shielding the underlying system complexity from end users and applications.
Data Source
AI summary
The present invention provides a method and system for automated management of information technology. A computer-implemented method according to the present invention includes detecting a condition in an infrastructure, automatically determining an action to be taken and automatically performing the action. The automatically determining is performed in response to the detecting, and the action is in response to the condition.