ELASTIC CLOUD COMPUTING APPROACH FOR BIG DATA ANALYTICS

Suma
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Abstract

The latest developments in the communication and the information technologies have turned out to be the foundation for the emergence of the industrial developments and progress in the business causing digital transformation in the industrial and the business operations. The clubbing of the internet and the information technology along with the tangible things that are the responsible for the industrial operations, generate a huge set of data that requires enormous network bandwidth, high processing power and accessible resolutions. So the paper presents the elastic cloud computing approach to bring down the complexities in deploying, cost of the groundwork and maintenance and provide an automated resource provisioning according to the demands. This method increases the amount of the computing power available, network properties and the storage. The experimental results for the novel elastic approach for the big data analytics is obtained by the simulation through MATLAB in terms response time, processing power and cost.
大数据分析的弹性云计算方法
通信和信息技术的最新发展成为工业发展和商业进步的基础,导致工业和商业运营的数字化转型。互联网和信息技术的发展,以及负责工业运营的有形物品,产生了大量的数据,这些数据需要巨大的网络带宽、高处理能力和可访问的分辨率。因此,本文提出了弹性云计算方法,以降低部署的复杂性、基础和维护的成本,并根据需求提供自动化的资源配置。这种方法提高了可用的计算能力、网络性能和存储容量。通过MATLAB仿真,从响应时间、处理能力和成本等方面得到了大数据分析弹性方法的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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