基于三维随机微分方程的云计算大数据可靠性分析

Y. Tamura, Kenta Miyaoka, S. Yamada
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引用次数: 4

摘要

大数据和云计算作为一种共享网络、服务器、存储、应用、服务等计算资源的网络服务,正在引起人们的关注。此外,由于成本低、交付快和标准化,许多开源软件被用于各种软件开发。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新方法。并对实际数据进行了分析,给出了考虑云计算大数据这一特点的软件可靠性评估的数值算例。此外,给出了该模型在云计算大数据环境下的性能示例。然后,讨论了该模型在大数据、网络流量和软件故障情况下的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability analysis based on three-dimensional stochastic differential equation for big data on cloud computing
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.
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