The Evident Use of Evidence Theory in Big Data Analytics using Cloud Computing

被引:0
作者
Mcheick, Hamid [1 ]
Mohammad, Atif Farid [2 ]
机构
[1] Univ Quebec Chicoutimi, Dept Comp Sci, Chicoutimi, PQ, Canada
[2] Univ N Dakota, Dept Comp Sci, Grand Forks, ND 58201 USA
来源
2014 IEEE 27TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) | 2014年
关键词
Cloud Computing; Evidence Theory; High-Performance Computing; Simulation;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
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页数:6
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