Blockchain Hot Cold Asset Storage for Database Bottlenecks
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Solution Overview
Problem
Centralized databases face issues such as single points of failure, high dependency on network connectivity, limited access due to data redundancy, and increased resource consumption with large shared ledgers, leading to performance bottlenecks and increased operational costs.
Innovation Solution
Implementing a blockchain network with a shared ledger that utilizes hot and cold asset storage repositories, where hot assets are cached for fast access and cold assets are stored with pointers in the shared ledger, reducing data duplication and resource usage through asset classification rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a centralized database stores all data at a single location, then data redundancy is minimized and security control is simplified, but the system becomes highly dependent on network connectivity and creates performance bottlenecks during high traffic
Solution Approach 1:
The patent segments the centralized database into multiple distributed nodes across a blockchain network. Each node maintains a copy of the shared ledger, eliminating the single-point bottleneck while preserving data consistency through cryptographic hashing and consensus mechanisms. This segmentation allows parallel access from multiple locations simultaneously.
Solution Approach 2:
The patent transitions from a single-dimensional centralized storage model to a multi-dimensional distributed network architecture. Data is replicated across multiple spatial dimensions (different nodes) while maintaining logical consistency through the blockchain's immutable ledger structure, enabling access from multiple dimensions simultaneously without conflict.
2Quantity of substance
If a centralized database maintains a single copy of data, then storage space is optimized, but data loss is difficult to retrieve and requires manual operation from back-up storage
Solution Approach 1:
The patent implements automatic copying of data across multiple distributed nodes in the blockchain network. Each node maintains an identical copy of the shared ledger through cryptographic verification, eliminating the need for manual backup operations. If data is lost or corrupted at one node, identical copies exist at other nodes for immediate recovery.
Solution Approach 2:
The patent establishes redundant data copies across multiple nodes before any data loss can occur. This proactive duplication creates a cushion against potential failures, ensuring that data recovery is automatic and instantaneous rather than requiring manual intervention after loss has occurred.
3Reliability
If a blockchain network stores complete copies of large shared ledgers at each node, then data access is decentralized and reliable, but resource consumption increases and performance bottlenecks occur
Solution Approach 1:
The patent extracts only the essential cryptographic elements (hashes, merkle roots, transaction signatures) from the complete blockchain ledger and stores these condensed representations at each node. The full transaction details are retained in the immutable blockchain history, allowing nodes to verify data integrity without storing exhaustive copies of all historical data, significantly reducing resource consumption.
4Adaptability or versatility
If a centralized database experiences high traffic, then more users can access data simultaneously, but bottlenecks occur and response time increases
Solution Approach 1:
The patent segments the monolithic centralized database into multiple independent distributed nodes that can process transactions in parallel. Each node independently validates and processes transactions from the shared ledger, eliminating the single-point bottleneck and enabling linear scaling of concurrent access capacity as more nodes join the network.
Solution Approach 2:
The patent fundamentally changes the system parameter from centralized single-point processing to distributed parallel processing across multiple nodes. This parameter change transforms the scalability characteristic, allowing the system to handle increasing traffic loads by simply adding more nodes to the network rather than upgrading a single central server.
Data Source
AI summary
An example operation may include one or more of receiving, by a blockchain node or peer, a deploy chaincode blockchain transaction, and in response establishing a cold asset storage repository comprising pointers to each of the assets of a blockchain stored in a shared ledger, each of the assets comprising a key-value pair, establishing a hot asset storage repository of predetermined size and configured to store a subset of the assets of the blockchain, and configuring asset classification rules to organize hot asset storage and cold asset storage.