Traffic Analytics for Cloud Migration Validation
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Solution Overview
Problem
Existing methods for validating business applications for cloud deployment are manual, time-consuming, and lack efficiency in assessing technical portability and business compliance, making it difficult to migrate computing tasks to a cloud environment.
Innovation Solution
A method for gathering traffic analytics data by creating an inventory of system assets, assigning touchstone tags to communication signals, analyzing communication traffic, and deriving analytics data to assess migration scenarios and generate cost information units for cloud service providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used for workload identification, classification, and cloud provider assessment, then validation can be performed, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces manual mechanical validation processes with automated electronic systems that use traffic analytics data, touchstone tagging, and systematic asset inventory to automatically assess workloads and cloud providers, eliminating time-consuming manual steps while maintaining validation accuracy
Solution Approach 2:
The system enables self-service validation by automatically collecting traffic analytics data, performing workload classification, assessing cloud provider compatibility, and generating migration recommendations without requiring manual intervention, allowing the system to validate and assess itself
2Reliability
If comprehensive workload validation and cloud provider assessment are performed manually, then accurate migration decisions can be made, but the complexity and time required increase significantly
Solution Approach 1:
The patent segments the complex validation process into distinct automated components: traffic analytics data collection, touchstone tag assignment, asset inventory creation, workload classification, and cloud provider assessment. Each segment handles a specific aspect, reducing overall process complexity while maintaining comprehensive validation
Solution Approach 2:
The system introduces an intermediary automated validation platform that mediates between the complex requirements of workload validation and cloud provider assessment, using standardized touchstone tags and structured analytics to simplify the interaction and decision-making process
3Loss of information
If detailed traffic analytics and cost assessments are gathered for cloud migration decisions, then informed decisions can be made, but the data collection and analysis time increases
Solution Approach 1:
The patent performs preliminary actions by continuously collecting and organizing traffic analytics data, creating asset inventories, and establishing touchstone tag frameworks before migration decisions are needed. This pre-positioning of data and analytical structures enables rapid, informed decision-making without time-consuming data collection at the moment of decision
Solution Approach 2:
The system maintains continuous collection and analysis of traffic analytics data, asset inventories, and cost information, ensuring that the information is always current and ready for migration decisions. This continuous operation eliminates gaps in information while avoiding repeated data collection cycles
Data Source
AI summary
There is provided a method for gathering traffic analytics data about a communication network that includes applying a heuristic that focuses on specific attributes of the communications relationships between the system assets of a network.