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Reliability analysis based on three-dimensional stochastic differential equation for big data on cloud computing

机译:基于三维随机微分方程对云计算大数据的可靠性分析

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The big data and cloud computing are attracting attention as a network service to share the computing resources such as networks, servers, storage, applications, and services. Also, many open source software are used in various software development because of the low cost, quick delivery, and standardization. In order to consider the interesting aspect of the big data and network traffic, a new approach to software reliability assessment based on three dimensional stochastic differential equation model is presented in this paper. Also, this paper analyzes actual data to show numerical examples of software reliability assessment considering such characteristics of big data on cloud computing. Moreover, performance examples of the proposed model for the big data on cloud computing are shown. Then, the performance of our model in terms of the big data, network traffic, and software fault is discussed in this paper.
机译:大数据和云计算是将注意力作为网络服务,以共享网络,服务器,存储,应用程序和服务等计算资源。 此外,由于成本低,交付快速,标准化,许多开源软件在各种软件开发中使用。 为了考虑大数据和网络流量的有趣方面,本文提出了一种基于三维随机微分方程模型的软件可靠性评估的新方法。 此外,本文分析了实际数据,显示了考虑到云计算大数据特征的软件可靠性评估的数值例子。 此外,还示出了云计算大数据的提出模型的性能示例。 然后,本文讨论了大数据,网络流量和软件故障方面的模型的性能。

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