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The evident use of evidence theory in big data analytics using cloud computing

机译:证据理论在使用云计算的大数据分析中的明显运用

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We live in the world of evidence. This research survey comprises of several research works and has an example implying dempster-shafer theory of evidence. We have witnessed several advances in computational performance, which have brought us the design and development of high-performance computing simulation tools. It is a fact that we have to account for uncertainty, while generating such high-performance systems using such simulation tools can fail in service performance predictions. We have seen that evidence theory is utilized to measure uncertainty in terms of the uncertain measures of belief and plausibility. It is also witnessed in computing community that Cloud computing has provided a flexible and scalable infrastructures to grow beyond contemporary borders to the organizations as wells the users everyday use of services. It also has increased availability of high-performance computing applications to small/ medium-sized businesses as well as academic users to work with. This paper also sheds light on Cloud computing and Service-Oriented Architecture.
机译:我们生活在证据的世界中。这项研究调查由几项研究工作组成,并有一个隐含证据的证据示例。我们目睹了计算性能方面的一些进步,这些进步为我们带来了高性能计算仿真工具的设计和开发。事实上,我们必须考虑不确定性,而使用此类仿真工具生成此类高性能系统可能会导致服务性能预测失败。我们已经看到,证据理论被用来根据信念和合理性的不确定性度量来度量不确定性。在计算社区中还可以看到,云计算提供了灵活且可扩展的基础架构,可以超越组织的现代边界,以及用户日常使用服务的方式。它还为中小型企业以及与之合作的学术用户提高了高性能计算应用程序的可用性。本文还阐明了云计算和面向服务的体系结构。

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