Distributed Infrastructure Service for Cloud Domain Parameter Coordination
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Solution Overview
Problem
In distributed cloud environments, there is a need to coordinate parameters such as MAC addresses across multiple data centers to prevent collisions, which is challenging due to the potential for internal conflicts when virtual machines with shared seeds are deployed across different domains.
Innovation Solution
An infrastructure service generates unique values for parameters across cloud domains, verifies for internal conflicts, and adjusts values as necessary to avoid collisions, using a seed-based approach to ensure uniqueness and consistency across domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If virtual machines are deployed across multiple data centers using shared seeds, then resource utilization and service availability are improved, but parameter collisions and internal conflicts occur
Solution Approach 1:
The infrastructure service is segmented into distributed instances across multiple data centers, with each instance independently generating and managing parameter values for its local virtual machines. This segmentation allows each data center to maintain unique parameter spaces while participating in the broader multi-domain deployment architecture.
Solution Approach 2:
A coordination mechanism acts as an intermediary between distributed infrastructure services, exchanging seed information and conflict detection data across data center boundaries. This intermediary layer enables collaborative parameter management without requiring centralized control, resolving conflicts through inter-domain communication.
2Productivity
If parameter values are generated independently in each cloud domain, then deployment speed and autonomy are improved, but collisions and conflicts between domains occur
Solution Approach 1:
The infrastructure service performs preliminary generation of unique parameter values and seeds before virtual machine deployment. By pre-generating and validating parameter values within each domain, the system ensures uniqueness is established beforehand, preventing collisions during actual deployment operations.
Solution Approach 2:
A feedback mechanism is implemented where each cloud domain reports its generated parameter values and detects conflicts with other domains. When collisions are detected, the system provides feedback to regenerate alternative values, ensuring parameter uniqueness across the distributed architecture while maintaining rapid deployment.
3Reliability
If a centralized infrastructure service coordinates parameters across all domains, then parameter uniqueness is ensured, but system complexity and coordination overhead increase
Solution Approach 1:
The centralized infrastructure service is segmented into distributed instances deployed across multiple data centers. Each instance autonomously generates parameters for its local domain while participating in inter-domain coordination protocols, reducing the complexity burden on any single point while maintaining overall parameter uniqueness.
Solution Approach 2:
Each cloud domain's infrastructure service instance autonomously generates its own parameter values and performs local conflict detection. The system enables self-service parameter management where domains independently handle their own coordination needs through standardized communication protocols, reducing overall system complexity.
Data Source
AI summary
An application, interface, device and method for coordinating a parameter across cloud domains of various distributed data centers. The method includes using an infrastructure service for generating one or more values of the parameter so that the values are different from each other; and providing the values to the respective cloud domains.