LAUSR

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.