At present IoT is immensely a descriptive term of a vision that everything should be connected to the internet. IoT applications have been widely used in several fields of social living such as healthcare and social products, industrial automation and energy. In this scenario, there are more than 14 billion interconnected digital and electronic devices in operation worldwide, the equivalent of almost two devices for every human being on earth. The IoT connects different nonliving objects through the internet and enables them to share information with their community network to automate processes for human beings and makes their lives convenient. Subsequently, objects are being amalgamated with internet connectivity and powerful data analysis capabilities that promise to change the way we work and live. The Internet is a worldwide system of interconnected computer networks that use the standard Internet protocol suite (TCP/IP) to serve billions of users globally. The most vital characteristics of IoT include connectivity, active engagement, connectivity, sensors, artificial intelligence, and small device use. This paper provides an overview of existing Internet of Things (IoT), technical details, and applications in this new emerging area as well as we are thoroughly analyzing the layer about the IoT. However, this manuscript will give a better understanding for the new researchers, who want to do research in this field of Internet of Things.

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The growth in population and progression of internet services, data size is getting increased day by day where 105000s of Trillion of data files are there in cloud available in unstructured nature. The coming times of Big Data are rapidly arriving for just about all industries. The Big Data can help in metamorphose major business processes by advisable and correct analysis of accessible data. Big data have also played an essential role in crime discover. Hadoop is opensource software in the form of an extremely scalable and fault tolerant distributed system which plays a very remarkable role in data storage and its processing. The Apache Hadoop Yarn is an open source framework developed by Apache Software Foundation. It is used for nursing Big Data. It endows storage as well as processing functionality. In this paper, we aimed to demonstrate a close look to about Yarn. The Yarn as a usual computing fabric to support MapReduce and another application instance within of the same kind Hadoop cluster. Yarn allow multiple applications to run simultaneously on the coequal shared cluster and assent applications to negotiate resources based on necessity. In the end, we are in a nutshell discuss about the design, development, and current state of deployment of the next generation of Hadoop's computes platform Yarn.

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People used to carry their documents about on CDs only a few years ago. Many people have recently turned to memory sticks. Cloud computing, in this case, refers to the capacity to access and edit data stored on remote servers from any Internet-connected platform. Cloud computing is a self-service Internet infrastructure that allows people to access computing resources at any location worldwide. The world has altered as a result of cloud computing. Cloud computing can be thought of as a new computing typology that can provide on-demand services at a low cost. By increasing the capacity and flexibility of data storage and providing scalable compute and processing power that fits the dynamic data requirements, cloud computing has aided the advancement of IT to higher heights. In the field of information technology, privacy and data security have long been a serious concern. It becomes more severe in the cloud computing environment because data is stored in multiple locations, often across the globe. Users' primary challenges regarding the cloud technology revolve around data security and privacy. We conduct a thorough assessment of the literature on data security and privacy issues, data encryption technologies, and related countermeasures in cloud storage systems in this study. Ubiquitous network connectivity, location-independent resource pooling, quick resource flexibility, usage-based pricing, and risk transference are all features of cloud computing.