Graph Database Multidimensional Model Software Dependency Management
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Solution Overview
Problem
Cloud computing systems face complexity in managing dependencies between software components and hardware resources, leading to difficulties in tracking and managing events and failures, due to the lack of a comprehensive view of resource allocations and dependencies.
Innovation Solution
A system that uses a graph database to store and manage multidimensional models of software offerings, representing service components, resources, and their dependencies, facilitating efficient retrieval and display of model data, impact analysis, and real-time management within a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud computing systems share infrastructure resources to improve utilization rates, then resource utilization efficiency is improved, but complexity in managing dependencies between software components and hardware resources increases
Solution Approach 1:
The patent introduces a multidimensional model as an intermediary layer between software components and hardware resources. This model includes service components, resources, and their dependencies, stored in a graph database. The intermediary model simplifies dependency tracking by providing a structured representation that separates the complexity of resource sharing from software management, allowing efficient querying and impact analysis without reducing resource utilization benefits.
2Reliability
If comprehensive tracking of resource allocations and dependencies is implemented, then fault diagnosis capability is improved, but system overhead increases
Solution Approach 1:
The patent segments the system into distinct components: service components, resources, and their dependencies, each represented as separate entities in a multidimensional model. This segmentation allows comprehensive tracking of allocations and dependencies without creating a monolithic complex system. The graph database stores these segmented elements with explicit relationships, enabling efficient fault diagnosis through targeted queries while maintaining manageable system overhead through modular organization.
3Speed
If graph database is used to store multidimensional models, then query response time is improved, but data storage complexity increases
Solution Approach 1:
The patent transitions from traditional tabular data storage to a graph-based multidimensional model, adding a new dimensional structure to data organization. The graph database represents service components, resources, and dependencies as nodes and edges in a multi-dimensional space, enabling efficient traversal and querying of relationships. This dimensional change improves query response time by directly modeling relationships rather than requiring complex joins, while the graph structure itself manages the storage complexity through intuitive node-edge representation.
Data Source
AI summary
The disclosed embodiments provide a system that facilitates the maintenance and execution of a software offering. During operation, the system obtains model data associated with a multidimensional model of the software offering. Next, the system stores the model data in a graph database. Finally, the system uses the graph database to facilitate management of the software offering.