WiMi Hologram Cloud Inc. (NASDAQ: WIMI), a prominent global provider of Hologram Augmented Reality Technology, has announced a groundbreaking research initiative. The company is delving into the development of a blockchain optimized data storage model based on Extreme Learning Machine (ELM) sharding. ELM, rooted in artificial neural networks, serves as a machine learning algorithm with a unique approach to initializing connection weights, resulting in swift training and robust generalization capabilities.
ELM Sharding: Redefining Blockchain Data Storage
In the quest for enhanced blockchain performance, WiMi Hologram Cloud introduces the ELM-based sharding blockchain data storage model. This innovative approach involves dividing the blockchain network into multiple shards, each independently responsible for storing and processing a designated segment of the blockchain’s data. Unlike traditional methods, where each node stores a complete copy of the entire blockchain, sharding minimizes storage requirements and costs.
In this model, each shard employs ELM as its local storage and computation unit, leveraging the algorithm’s efficiency in fast training and prediction. This shift ensures that each slice can autonomously manage its blockchain data without reliance on other slices or full nodes, thereby reducing dependency and improving storage and processing efficiency.
Distributed Management for Optimal Performance
To implement the ELM-based sharding model, the original blockchain data is segmented and stored on different nodes, achieving distributed data management and enabling parallel data processing. Each node is tasked with storing only the sharding data it oversees, alleviating storage pressure and paving the way for more efficient and cost-effective data storage and processing.
ELM nodes, equipped with the swift and efficient ELM algorithm, independently process and store their designated sharding data. This technology enhances the parallel processing of data, ultimately boosting the overall performance of the blockchain system. Furthermore, the decentralized nature of sharding improves data privacy and security, as any potential attack or data leak on one node has no impact on the integrity of the entire system.
Unlocking Blockchain Potential with ELM Sharding
WiMi Hologram Cloud’s research into the ELM-based sharding blockchain data storage model addresses critical challenges faced by traditional storage methods. It provides solutions to storage capacity limitations and transaction speed issues, leading to reduced costs and heightened efficiency in data synchronization. This novel approach offers a more effective means of data management, significantly improving the performance and scalability of the blockchain system.
In the evolving landscape of blockchain technology, the ELM-based sharding model pioneered by WiMi Hologram Cloud stands as a beacon of innovation. Its impact is poised to extend beyond overcoming existing challenges to shaping the future of blockchain data storage models, emphasizing efficiency, security, and scalability.