Computational overhead refers to the additional processing power, memory, or time required by a system to perform tasks beyond its core function. It represents the resources consumed by auxiliary processes, such as security checks, data management, or network communication. Minimizing this overhead is crucial for system efficiency.
Context
In blockchain technology, computational overhead is a key consideration for scalability and transaction speed. Proof-of-work consensus mechanisms, for example, involve significant computational overhead for mining, impacting energy consumption and transaction finality. News often highlights efforts to reduce this overhead through alternative consensus protocols or layer-two solutions, aiming for more efficient digital asset systems.
This dual-layered chaotic-RSA cryptographic primitive solves the audit-privacy conflict by ensuring data immutability while guaranteeing confidentiality.
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