Distributed Cloud Storage Nodes with Operation Control Units
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Solution Overview
Problem
The existing centralized cloud storage methods for Internet of Things network nodes, which use different communication protocols, lead to inefficient data management, high communication overhead, and wasteful power consumption due to the need for centralized management and permanent storage of data, especially for short-life information with real-time and timeliness requirements.
Innovation Solution
A distributed cloud storage system based on an operation control unit that interacts directly with the data link layer, enabling self-management of data storage and sharing among nodes through a file unit and network information management unit, using a block chain table for data organization and resource scheduling to allocate hardware and network resources, thus facilitating cross-protocol compatibility and reducing the need for centralized management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If centralized cloud storage is used to store all network node data, then data storage capacity is improved, but communication overhead and power consumption increase
Solution Approach 1:
The patent segments the centralized storage system into distributed storage across multiple cloud nodes. Each node stores only the data it generates or is authorized to hold, eliminating the need for all nodes to communicate with a central storage point. This segmentation reduces communication overhead and power consumption while maintaining adequate storage capacity across the distributed network.
2Adaptability or versatility
If centralized management is implemented to manage diverse communication protocols, then protocol compatibility is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where each cloud node autonomously manages its own data storage, access control, and protocol handling. Nodes independently process incoming data according to their capabilities and authorized protocols, eliminating the need for complex centralized management. This self-service approach maintains protocol compatibility through standardized interfaces while reducing overall system complexity.
3Reliability
If all generated data is stored permanently, then data availability is improved, but storage resource waste increases
Solution Approach 1:
The patent dynamically changes storage parameters based on data characteristics, access patterns, and node capabilities. Critical data is stored permanently with high availability, while non-critical or redundant data is stored temporarily or not at all. Storage duration, replication factor, and access priority are adjusted as parameters based on data value assessment, ensuring adequate availability while minimizing storage waste.
4Ease of operation
If application software is used to centrally manage storage devices, then data access control is improved, but bandwidth utilization decreases
Solution Approach 1:
The patent introduces standardized data access protocols as intermediaries between application software and distributed storage devices. These intermediary protocols enable automated data access control through predefined rules and permissions, reducing the need for complex centralized software management. The intermediary layer handles authentication, authorization, and data routing efficiently, maintaining secure access control while optimizing bandwidth utilization through intelligent data placement and retrieval.
Data Source
AI summary
The present invention discloses a cross-protocol distributed cloud storage system based on a network node operation control unit. The distributed cloud storage system includes a plurality of network nodes, each of which includes an operation control unit that directly interacts with a data link layer, the operation control unit including a file unit, a network information management unit and a resource scheduling unit, wherein the file unit is used to mange and store file information of the network node where it is located; the network information management unit is used to interact with the data link layer so as to perform link scheduling for delivering the information between the network nodes, and to update data between the nodes; the resource scheduling unit is used to allocate and schedule hardware or network resources for the network information management unit and the file unit for implementing functions thereof.