Comparative Study of Sha-256 Optimization Techniques

Bharat S. Rawal, Lingampally Shiva Kumar, Sriram Maganti, Varun Godha
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引用次数: 1

Abstract

A hash function is a useful one-way trap cryptographic algorithm that converts an input of any size to an output of a fixed length of bits based on the choice of the hash function. In this paper, we compared various hash optimization techniques to reduce extra hashes while mining cryptocurrencies. Also, we introduce the concept of higher performance by splitting the hashing tasks over various servers. In most exceptionally reliable systems, subsystem or module failures that do not affect a system failure can still worsen system performance. The split system approach introduces a more effective way of offering reliability in a distributed system in general. To assess the system's reliability, this paper proposed a simple mathematical model that can capture the reliability of the system and higher throughput.
Sha-256优化技术的比较研究
哈希函数是一种有用的单向陷阱加密算法,它根据选择的哈希函数将任意大小的输入转换为固定长度的比特输出。在本文中,我们比较了各种哈希优化技术,以减少挖掘加密货币时的额外哈希。此外,我们还通过将散列任务拆分到不同的服务器来引入更高性能的概念。在大多数异常可靠的系统中,子系统或模块故障不会影响系统故障,但仍然会使系统性能恶化。通常,分割系统方法为分布式系统提供了一种更有效的可靠性方法。为了评估系统的可靠性,本文提出了一个简单的数学模型,可以捕获系统的可靠性和更高的吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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