Datacenter Search Query Interpretation via Unified Data Model
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Solution Overview
Problem
Existing datacenter management systems are inadequate in monitoring and visualizing the complex configurations of physical and virtual entities within modern datacenters, failing to effectively understand new architectures and relationships between entities.
Innovation Solution
A datacenter management system utilizing a natural language-based search engine that interprets user queries through time-series modeling and data models, capturing status, performance, and configuration data, and providing visualization and collaboration tools to manage and analyze datacenter operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing monitoring systems are used to track datacenter entities, then data collection for subset of components is possible, but the systems cannot effectively monitor or visualize physical and virtual entity configurations in modern datacenters with virtualization
Solution Approach 1:
The patent implements a universal data model that can represent both physical entities (servers, switches, routers) and virtual entities (virtual machines, virtual networks, virtual storage) within a single unified framework. This multi-functional data model allows the monitoring system to handle diverse entity types consistently, enabling effective monitoring and visualization of complex virtualized datacenter environments that previous specialized systems could not address
2Ease of operation
If traditional search systems are used for datacenter queries, then simple data retrieval is possible, but the systems cannot interpret user intent or provide relevant results for complex datacenter operations
Solution Approach 1:
The patent introduces a natural language interpretation layer that acts as an intermediary between user queries and the datacenter search system. This layer translates user-friendly natural language queries into structured search operations while preserving user intent through context analysis, entity recognition, and query reformulation. The interpretation layer maintains the simplicity of user input while preventing loss of intent information during the search process
3Reliability
If comprehensive data collection is implemented for all datacenter entities, then complete monitoring coverage is achieved, but system complexity and difficulty of understanding relationships increase
Solution Approach 1:
The patent segments the complex datacenter monitoring system into distinct functional layers: data collection layer, data modeling layer, search/analysis layer, and visualization layer. Each layer handles specific aspects of monitoring independently, reducing overall system complexity. The unified data model further segments entity representations into standardized components (attributes, relationships, states), making complex relationships more manageable and understandable while maintaining comprehensive monitoring coverage
Data Source
AI summary
A computerized datacenter contextual search query interpretation method includes receiving a search query from a user; displaying search suggestions based on the search query and obtaining a selected one of the search suggestions. Any time period associated with the search query is identified, instructions based on the selected search suggestion and any time period for searching a data model of a datacenter are generated to obtain search results and display a graphical visualization of the search results.