Cloud Orchestration System for Regulatory Compliance
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Solution Overview
Problem
Current cloud orchestration systems prioritize resource maximization over compliance with geographical, legal, and regulatory considerations, leading to potential violations and unintended consequences for clients and providers.
Innovation Solution
A method and system that optimize shared services orchestration by considering client requirements and applicable rules and regulations, including automatic detection of rule changes and alerts, to ensure compliant resource deployment and management in cloud computing environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud resources are deployed based on cost and availability without considering geographical and regulatory rules, then resource allocation efficiency is improved, but compliance with laws and regulations deteriorates
Solution Approach 1:
The system performs preliminary actions by determining and storing a list of applicable rules before deploying cloud resources. The orchestration process queries these pre-established rules to ensure compliance is checked in advance, preventing violations rather than detecting them after deployment.
Solution Approach 2:
The patent introduces an intermediary compliance checking mechanism between resource selection and deployment. This intermediary layer evaluates potential resource allocations against stored rules, acting as a mediator that reconciles the conflict between efficient allocation and regulatory compliance.
2Speed
If cloud orchestration automatically selects resources without client requirements input, then orchestration speed is improved, but client-specific compliance needs deteriorate
Solution Approach 1:
The system implements a universal rules determination process that handles multiple compliance dimensions simultaneously. The same orchestration framework accommodates both automatic resource selection and client-specific requirements by querying a comprehensive rule set that includes geographical, regulatory, and client-defined constraints.
Solution Approach 2:
Client requirements and applicable rules are determined preliminarily before the actual resource deployment process. This allows the orchestration to proceed quickly once parameters are set, while ensuring all compliance considerations are pre-evaluated.
3Device complexity
If rule changes are not monitored and alerted, then system simplicity is improved, but operational safety and trust deteriorate
Solution Approach 1:
The system implements a feedback mechanism that monitors for changes in applicable rules and notifies relevant parties. When rule changes are detected, the system provides feedback to clients and providers, ensuring ongoing compliance and maintaining trust through transparency.
Solution Approach 2:
The compliance monitoring system operates autonomously to detect rule changes and generate notifications without requiring manual intervention. This self-service approach maintains operational safety while minimizing added complexity, as the system automatically manages the monitoring and alerting functions.
Data Source
AI summary
Aspects of the present invention disclose a method for optimizing shared services orchestration. The method includes one or more computer processors receiving resource requirements from a client. The method further includes one or more computer processors determining a list of rules. The method further includes one or more computer processors determining at least one resource based on the resource requirements and the list of rules. The method further includes one or more computer processors deploying at least one resource from the determined at least one resource.