Mimetic Database Design for Network Operating System Safety
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Solution Overview
Problem
Existing network operating systems face challenges in ensuring database safety, storage rates, version compatibility, and resistance to unknown risks, particularly in software-defined network (SDN) environments.
Innovation Solution
A mimetic database-based network operating system design method is introduced, featuring a master database with five levels: server, database, data object, data structure, and data, incorporating mimetic homogeneous and heterogeneous storage, synchronization, and decision mechanisms, along with a safe storage command processing system and classification storage mechanism to enhance safety and compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a traditional database is used as the core of the network operating system, then the system can operate normally with simple structure, but the database safety and resistance to unknown risks are insufficient
Solution Approach 1:
The patent divides the database into multiple levels (server, database, data object, data structure, data) and implements segmentation of data storage through mimetic homogeneous storage and mimetic heterogeneous storage. This segmentation allows the system to improve database safety by distributing data across multiple layers while maintaining a manageable structure through clear hierarchical organization.
Solution Approach 2:
The patent implements a nested database structure where data is organized in five hierarchical levels from server down to individual data elements. Each level contains and manages the level below it, creating a nested architecture that improves safety through layered protection while maintaining structural clarity through the hierarchical organization.
2Reliability
If mimetic transformation is implemented to improve database safety, then the resistance to risks is enhanced, but the costs associated with transformation increase
Solution Approach 1:
The patent implements local quality by applying mimetic transformation selectively at specific levels of the database hierarchy rather than uniformly across all data. The system uses classification storage mechanisms to identify which data objects require mimetic protection, thereby reducing transformation costs while maintaining risk resistance for critical data.
Solution Approach 2:
The patent applies partial action by implementing mimetic storage for only certain data objects and levels based on their security requirements, rather than transforming the entire database. The classification storage mechanism enables the system to apply mimetic protection where most needed while avoiding unnecessary transformation costs for less critical data.
3Reliability
If homogeneous storage is used to back up data at multiple addresses, then the safety is improved, but the storage space consumption increases
Solution Approach 1:
The patent merges homogeneous storage with heterogeneous storage in a unified database architecture. By combining these storage types at different hierarchical levels, the system achieves data safety through multiple backups while optimizing storage space utilization through the integrated approach.
Solution Approach 2:
The patent adds the dimension of hierarchical organization to data storage, creating five levels from server to individual data elements. This dimensional change allows the system to implement mimetic storage that improves safety while controlling space consumption through structured organization and selective application at different levels.
4Adaptability or versatility
If a five-level database structure is implemented, then the data management capability is enhanced, but the system complexity increases
Solution Approach 1:
The patent segments the database into five distinct levels (server, database, data object, data structure, data), each with specific management functions. This segmentation enhances data management capability by allowing targeted operations at each level while maintaining system tractability through clear boundaries and hierarchical organization.
Solution Approach 2:
The patent implements a universal hierarchical structure that can accommodate various types of data and operations across all five levels. This multi-functional framework enhances adaptability by allowing the same structural pattern to handle diverse data management tasks while maintaining consistency and reducing overall system complexity.
Data Source
AI summary
The disclosure discloses a mimetic database-based network operating system design method, including: designing a mimetic data structure; designing a mimetic data object; designing a synchronization mechanism and a decision mechanism, designing a mimetic database safe storage command processing system, and designing a classification storage mechanism for interacting data between service modules and a master database in a network operating system. By means of vertical hierarchy and horizontal classification, the problem of compatibility of the database subjected to mimetic transformation and a network operating system is solved. By means of a memory random distribution storage mechanism and a memory hardware heterogeneous storage mechanism, the cost caused by mimetic transformation can be reduced, and the cost is controllable while the safety is improved.