Computation cost refers to the resources expended to perform a computational operation within a digital system. In blockchain contexts, this typically includes the energy, processing power, and time required to execute transactions or smart contract functions. These costs are often denominated in a network’s native cryptocurrency, such as gas fees on Ethereum. Minimizing these costs is a significant engineering objective.
Context
Computation cost is a central discussion point in blockchain scalability, particularly concerning networks experiencing high transaction volumes. Debates often focus on layer-2 solutions and alternative consensus mechanisms designed to lessen these expenses and enhance network throughput. A critical future development involves advancements in zero-knowledge proofs and sharding technologies, which promise to substantially reduce computation costs and make decentralized applications more accessible and efficient for a broader user base.
A new hardware-independent metric for ZK/FHE performance standardizes cryptographic evaluation, accelerating Layer 2 development and privacy primitives.
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