Understanding Shards and Sharding
Sharding is a technique used by blockchain networks, including Ethereum, to address the issue of network slowdown as user numbers increase.
With more users, the network experiences higher latency, affecting its performance.
Sharding aims to improve network latency by dividing the blockchain network into separate shards containing its own data and operating independently from other shards.
Enhancing Blockchain Scalability
Sharding involves the horizontal partitioning of databases, dividing them into rows.
Each shard represents a distinct portion of the blockchain network and is responsible for storing specific data.
Transactions involving digital assets can be facilitated across multiple shards, enabling interoperability.
Despite the division into shards, the decentralized nature of the blockchain is maintained, allowing all users to access and view the state of transactions.
This distributed ledger ensures transparency and accessibility for all participants.
Sharding in Ethereum
In Ethereum, nodes are randomly assigned to shards and periodically reassigned to different shards.
This randomization makes it challenging for attackers to predict which shards their malicious nodes will be assigned to, enhancing the network’s security against takeover attempts.
Sharding is essential for facilitating the hosting of full nodes and scaling applications to support larger volumes of data.
It is common in computer science to scale applications and improve their efficiency.
With proper implementation, sharding allows each user to store only a portion of the database’s history, reducing the storage burden compared to the default operation of a blockchain.