Network Migration Assistant for Cost Prediction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Network administrators face challenges in determining the optimal migration of networked entities across different platforms due to complexity and lack of comprehensive information on performance and cost considerations, often leading to inaccurate predictions and resource inefficiencies.
Innovation Solution
A system is configured to collect operations data, calculate metrics, retrieve migration configurations and platform data, and generate predicted costs for network administrators, providing insights and recommendations for migration decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual approaches are used to determine migration decisions, then comprehensive knowledge and expertise are required, but the process becomes time-consuming and resource-intensive
Solution Approach 1:
The patent introduces an intermediary system comprising a data collector, data processor, and information generator that mediates between the complex network environment and the network administrator. This intermediary automatically gathers operations data, processes it to generate cost and performance estimates, and presents actionable information, eliminating the need for administrators to manually analyze complex migration scenarios while providing accurate predictions.
Solution Approach 2:
The system enables self-service by automatically collecting operations data from the network environment, processing this data through defined cost and performance models, and generating migration assessment information without requiring manual intervention. The system serves itself by autonomously performing data collection, processing, and information generation tasks that would otherwise require specialized human expertise.
2Reliability
If comprehensive analysis of all migration factors is performed manually, then accurate predictions can be achieved, but the complexity and resource requirements increase significantly
Solution Approach 1:
The patent segments the migration assessment system into distinct functional components: a data collector that gathers operations data, a data processor that applies cost and performance models, and an information generator that produces assessment results. This segmentation allows each component to perform its specific function independently, reducing overall system complexity while maintaining comprehensive analysis capabilities through automated processing.
3Measurement precision
If detailed operations data is collected and processed, then accurate cost and performance estimates are generated, but the data processing requirements and computational resources increase
Solution Approach 1:
The system applies parameter changes by transforming raw operations data into meaningful cost and performance metrics through defined computational models. The data processor converts detailed operations data into standardized estimates using configurable cost models and performance models, allowing precise measurements while optimizing computational resource usage through automated processing and model-based calculations.
Data Source
AI summary
The disclosed technology relates to assisting with the migration of networked entities. A system may be configured to collect operations data for a service from at least one endpoint host in a network, calculate at least one metric for the service based on the operations data, retrieve a migration configuration and platform data for a target platform, generate a predicted cost for the migration configuration based on the migration configuration, the at least one metric, and the platform data, and provide the predicted cost for the migration configuration to a user.