IT Infrastructure Cost Tracking via Observer Agents
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Solution Overview
Problem
Current monitoring systems for IT infrastructure are inaccurate and resource-intensive, making it difficult to track benefits and costs effectively.
Innovation Solution
A method involving a computer processor that models IT infrastructure as independent hardware, software, and networking components, deploys observer agents to measure costs and benefits, performs mapping and aggregation processes, and generates a two-dimensional moving graph to visually track these metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional monitoring systems are used to track IT infrastructure costs and benefits, then comprehensive monitoring coverage is achieved, but the process becomes time-consuming and resource-intensive
Solution Approach 1:
The patent segments the IT infrastructure into discrete components (hardware, software, networking) and deploys individual observer agents on each component. This segmentation enables parallel measurement of costs and benefits across multiple components simultaneously, reducing overall monitoring time while maintaining comprehensive coverage and accuracy.
Solution Approach 2:
The patent introduces observer agents as intermediary components that automatically collect and report cost and benefit data from IT infrastructure components. These agents act as mediators between the infrastructure components and the central monitoring system, enabling automated data collection that reduces manual monitoring time and resources while improving measurement accuracy.
2Measurement precision
If detailed measurement of each IT component is performed, then accurate cost and benefit data is obtained, but system complexity increases
Solution Approach 1:
The monitoring system is segmented into standardized observer agents, each responsible for a single IT component. This segmentation maintains measurement precision at the component level while managing complexity through modular, reusable agent templates that can be deployed consistently across different components.
Solution Approach 2:
The observer agents are designed as universal, multi-functional components that can monitor various types of IT infrastructure (hardware, software, networking) using the same measurement framework. This universality reduces system complexity by eliminating the need for separate monitoring mechanisms for each component type while maintaining detailed measurement accuracy.
Data Source
AI summary
A method and system for tracking an IT infrastructure is provided. The method includes modeling an IT infrastructure as a collection of hardware components, software components, and networking components. An observer agent is deployed on each of the components. The observer agent performs a measurement process with respect to each of the components and a mapping process is performed with respect to the measurement process. An aggregation module is deployed and an aggregation process is performed with respect to results of the mapping process. In response, a two dimensional moving graph indicating results of the aggregation process is generated and displayed.