Decentralized Holon Network for Secure Data Streaming
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Solution Overview
Problem
Decentralized data storage networks face limitations in scalability, security, and compliance with regulations like GDPR, as they often rely on central servers and lack efficient data sharing mechanisms.
Innovation Solution
A decentralized hierarchical network system utilizing a virtual Holon network, where computing devices form unidirectional communication rings, enabling secure, self-organized data storage and streaming within dynamic organizational units called Holons, without relying on central servers, and ensuring GDPR compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If decentralized data storage networks rely on central servers, then system management and coordination are simplified, but security, scalability, and GDPR compliance are compromised
Solution Approach 1:
The patent extracts the central server component from the decentralized storage network, completely eliminating the need for centralized coordination. Nodes autonomously discover each other and form storage arrangements without central management, thereby achieving both simplified operation (no central server needed) and improved security/compliance (fully decentralized control).
Solution Approach 2:
The system implements self-service through autonomous node behavior where computing devices automatically discover available storage capacity, negotiate storage arrangements, and manage data placement without external coordination. This self-organizing mechanism resolves the contradiction by providing both operational simplicity (automatic self-management) and reliability (decentralized control).
2Reliability
If decentralized networks eliminate central servers, then security and GDPR compliance improve, but system complexity and coordination difficulty increase
Solution Approach 1:
The patent combines multiple functions (discovery, negotiation, data placement, and storage management) into a single integrated peer-to-peer protocol. This merging reduces network coordination complexity by eliminating the need for separate centralized services while maintaining security and compliance through decentralized execution.
Solution Approach 2:
Each computing device in the network is designed to perform multiple functions: acting as both data source and storage provider, handling discovery and negotiation, and managing data lifecycle operations. This multi-functionality reduces overall system complexity by eliminating specialized centralized components while preserving decentralized security and compliance.
3Reliability
If data is distributed across multiple nodes, then security and availability improve, but data sharing efficiency and access speed decrease
Solution Approach 1:
The system performs preliminary actions by pre-establishing storage arrangements and caching mechanisms before data access is needed. Data is pre-positioned in optimal locations based on predicted access patterns, and nodes maintain ready-state connections, thereby maintaining high availability while improving data sharing efficiency when access occurs.
Solution Approach 2:
The patent introduces intermediary caching nodes that store copies of frequently accessed data. These intermediaries act as buffer between the distributed storage system and data consumers, maintaining availability through redundancy while improving access speed by serving data from closer locations rather than querying all storage nodes.
4Reliability
If autonomous peer-to-peer arrangements are implemented, then GDPR compliance and data privacy improve, but bandwidth consumption and processing demands increase
Solution Approach 1:
The patent segments the network into autonomous Holons (organizational units) that independently manage their own data and storage arrangements. This segmentation reduces overall bandwidth consumption and processing demands by limiting communication and coordination to local Holon boundaries rather than requiring global network-wide operations, while maintaining GDPR compliance through localized data sovereignty.
Solution Approach 2:
The system implements partial action by having nodes selectively engage in storage arrangements only with relevant peers within their Holon, rather than maintaining connections with all network participants. This reduces bandwidth and processing overhead while maintaining data privacy through targeted, permissioned data sharing within organizational boundaries.
Data Source
AI summary
Systems and methods for data storage and data streaming in decentralized, self-organized networks are provided. A plurality of computing devices are disposed in a unidirectional communication ring having a plurality of serially-connected spikes. Each spike includes n computing devices, and n×p connections directly connecting each of the n computing devices to p downstream computing devices. Each computing device is configured to request and receive an inventory of the plurality of computing devices; select a computing device from the plurality of computing devices; transmit a join request comprising the inventory to the selected computing device; and request reorganizing the unidirectional communication ring in response to the receipt of the transmitted join request after propagation through each of the plurality of spikes of the unidirectional communication ring.