Optimal shards refers to the most effective configuration and count of data partitions within a sharded network architecture. This equilibrium endeavors to maximize transaction throughput and system scalability while upholding the network’s security and decentralization attributes. It represents an essential design parameter for efficient and robust sharded blockchain systems.
Context
Determining the optimal count of shards poses a considerable engineering challenge for blockchain developers aiming to implement sharding solutions. An inadequate number of shards limits performance improvements, while an overly large quantity can diminish security assurances by decreasing the validator collective size per shard and amplifying inter-shard communication difficulties. Current research focuses on adaptive sharding mechanisms that modify shard assignment according to live network states.
Arete introduces a novel sharding architecture that deconstructs State Machine Replication, enabling smaller, more secure shards for enhanced blockchain performance.
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