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首页> 外文期刊>Internet of Things Journal, IEEE >Proof-of-Work Consensus Approach in Blockchain Technology for Cloud and Fog Computing Using Maximization-Factorization Statistics
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Proof-of-Work Consensus Approach in Blockchain Technology for Cloud and Fog Computing Using Maximization-Factorization Statistics

机译：使用最大化因子统计的云和雾计算区块链技术中的工作量证明共识方法

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摘要

In this paper, we discussed an efficient statistical method with proof-of-work consensus approach for cloud and fog computing. With this method, solution with precise probability in minimal time is realized. We have used the expectation maximization algorithm and polynomial matrix factorization. The advantages of this statistical method are the less iteration to converge to the consensus solution and easiness to configure the complete mathematical model as per the requirement. Moreover, the energy and memory consumption are also less which make this approach appealing for cloud and fog computing. The experimental results also show that the proposed approach is significantly efficient in terms of time and memory consumption. This novel approach seems beneficial for Internetof- Things (IoT), one of the most fast-growing technologies in network computing.
机译：在本文中，我们讨论了一种有效的统计方法和工作量证明共识方法，用于云和雾计算。通过这种方法，可以在最短的时间内实现精确概率的解决方案。我们使用了期望最大化算法和多项式矩阵分解。这种统计方法的优点是收敛到共识解决方案的迭代次数更少，并且易于根据要求配置完整的数学模型。此外，能源和内存消耗也更少，这使得该方法吸引了云和雾计算。实验结果还表明，该方法在时间和内存消耗方面都非常有效。这种新颖的方法似乎对物联网（IoT）有益，物联网是网络计算中发展最快的技术之一。

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