Optimize the Graph Model for KS-NAV's Graph Database Support

[alessandrocarminati]

Objective

The purpose of this study is to define and establish an optimal graph model to support the integration of a graph database into KS-NAV. This will serve as the foundation for effectively storing and querying kernel-related data within a graph database structure.

Current Status

• Database Integration: KS-NAV aims to incorporate a graph database to enhance data handling and querying capabilities.
• Model Definition: The study involves defining a suitable graph model to represent kernel-related data effectively.

Study Goals

• Understand Data Relationships: Identify and analyze the relationships and dependencies within kernel data.
• Graph Model Design: Create a comprehensive graph model that accurately represents these relationships within the kernel.
• Query Optimization: Consider optimization strategies to ensure efficient querying of the graph database.

Tasks

1. Data Analysis:
   • Analyze existing kernel data structures and their interconnections.
   • Identify key entities, relationships, and dependencies relevant to KS-NAV.
2. Graph Model Design:
   • Define a graph schema that represents kernel data relationships.
   • Determine node types, relationship types, and their attributes within the graph model.
3. Optimization Strategies:
   • Explore strategies for optimizing graph queries and data retrieval.
   • Consider indexing, query patterns, and performance tuning.