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Price Versus Performance of Big Data Analysis for Cloud Based Internet of Things Networks

机译:基于云网上网络网络的大数据分析的价格与大数据分析

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摘要

Many devices share their data with the online world to derive global knowledge and information that have high business value. Trillions of smart devices are connected together over the Internet, which are known as Internet-of-Things (IoT). These devices generate enormous data on daily basis, in orders of Exabytes, which is called Big Data. Since cloud services are used to handle the Big Data generated from these IoT devices, new architectures for handling smart devices are designed through cloud enabled IoT networks. In this paper, we discuss in detail the issues of handling Big Data from an operational perspective in this new cloud based IoT network architecture. We tackle the incurred price and overall efficiency for storing and analyzing data for these networks on periodical basis. We propose an optimization model that address the price versus performance while carrying out Big Data analysis in these cloud based IoT networks.
机译:许多设备与在线世界共享他们的数据,以推导出具有高商业价值的全球知识和信息。数万亿智能设备通过互联网连接在一起,称为内部互联网(IOT)。这些设备每天生成巨大的数据,以exabytes的顺序,称为大数据。由于云服务用于处理来自这些物联网设备生成的大数据,因此通过已启用的IOT网络设计用于处理智能设备的新架构。在本文中,我们详细讨论了在基于新的云的物联网网络架构中从操作角度处理大数据的问题。我们在期刊基础上解决所发生的价格和整体效率,以便在期刊上存储和分析这些网络的数据。我们提出了一个优化模型,在这些基于云的物联网中进行了大数据分析的同时,解决了价格与性能的优化模型。

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