Database Consolidation Advisor System
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Solution Overview
Problem
Database consolidation is complex and cumbersome, often requiring manual evaluation and subjective decision-making, which can lead to poor performance and resource inefficiencies due to server sprawl, making it difficult to identify optimal consolidation scenarios and manage resources effectively.
Innovation Solution
A consolidation planning system that uses a rule-based engine to generate recommendations for consolidating multiple databases onto fewer servers, analyzing workload characteristics, identifying potential conflicts, and predicting post-consolidation performance, while allowing for customizable rules and scenario parameters to accommodate organization-specific constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual evaluation and subjective decision-making are used for database consolidation, then flexibility in handling organization-specific constraints is improved, but the complexity and time required for consolidation planning increases significantly
Solution Approach 1:
The patent introduces an intermediary tool (consolidation planning system) that acts as a mediator between manual decision-making and automated processes. This system provides structured guidance, evaluates consolidation scenarios objectively, and assists administrators in making informed decisions while handling organization-specific constraints, thereby reducing planning complexity without sacrificing flexibility.
Solution Approach 2:
The patent replaces the purely manual mechanical process of consolidation planning with an automated system that uses algorithms, metrics, and structured methodologies. This substitution reduces the time and effort required while maintaining the ability to handle organization-specific constraints through configurable parameters and guidelines.
2Measurement precision
If manual evaluation of each consolidation option is performed, then detailed analysis of organization-specific constraints is improved, but the time and expertise required increases significantly
Solution Approach 1:
The patent applies partial action by focusing evaluation on the most critical metrics and constraints rather than analyzing every possible parameter in detail. The system identifies and prioritizes key factors affecting consolidation success, providing sufficient analysis depth without requiring exhaustive examination of all consolidation options, thus reducing time while maintaining measurement precision.
Solution Approach 2:
The patent changes the parameters of evaluation by using standardized metrics, scoring systems, and configurable weights for different constraints. This allows the system to efficiently compare consolidation options based on transformed parameters that capture essential details without requiring exhaustive manual analysis of each option.
3Productivity
If poor planning decisions are made during consolidation, then implementation speed may be improved, but system performance and resource efficiency deteriorate
Solution Approach 1:
The patent emphasizes preliminary action by performing comprehensive evaluation and planning before actual consolidation implementation. The system analyzes consolidation scenarios, predicts outcomes, and validates plans against organization-specific constraints before execution, ensuring that decisions are well-informed and likely to succeed, thereby maintaining both speed and reliability.
Solution Approach 2:
The patent incorporates feedback mechanisms that provide administrators with information about expected outcomes, potential risks, and performance predictions for different consolidation scenarios. This feedback allows for informed decision-making that balances implementation speed with system performance requirements, enabling administrators to choose optimal consolidation paths.
Data Source
AI summary
Techniques are described for generating automated advice with respect to consolidating a plurality of sources. A set of one or more parameters relating to a proposed consolidation for a plurality of consolidation sources is received. In response to receiving the set of one or more parameters, a set of one or more recommendations for consolidating the plurality of consolidation sources is generated and stored on at least one of a volatile or non-volatile computer-readable storage medium. The set of one or more recommendations may indicate how to improve a performance associated with consolidating the plurality of sources to a set of one or more destinations based on a particular consolidation scenario. The set of one or more recommendations may be displayed during consolidation planning for the plurality of consolidation sources.