A Study on Recent Trends in Cloud-Based Data Processing for IoT Era

A Study on Recent Trends in Cloud-Based Data Processing for IoT Era

John Shiny J., Karthikeyan P.
Copyright: © 2021 |Pages: 27
DOI: 10.4018/978-1-7998-5339-8.ch122
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Abstract

Cloud computing has become one of the most important technologies in our day-to-day lives. The computing resources are delivered to the customers based on subscription basis via internet. Big data storage and processing are main application of cloud. Furthermore, the development of internet of things provides the platform for interconnecting devices over internet. This includes everything from mobile phones, washing machines, lamps, headphones, wearable devices, and everything else we never think of. This enables machine-to-machine communication, also applies to the components of the machine. The main objective of this chapter is to give an overview of cloud computing, big data, and internet of things and the advance research topics.
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Cloud computing is a technology to offer computing resources through subscription or rental basis and it follows pay-per use strategy. Since cloud has elastic infrastructure it needs to be used to process big data applications. Zaslavsky (2013) stated that, the cloud needs to bind to the Internet of Things. Very large Internet of Things based sensor networks use cloud to manage process and store the computational data.

According to Riggins (2015), big data comes from variety of sources in large amount and often have real time data. This can be driven by mobile devices, intelligent sensors, social media tools, health care applications, weather forecasting applications; Internet of Things enabled devices etc. As Riggins (2015) found, Big data classification comprises of data sources, content formats, data stores, data staging, and data processing. Although hadoop has become the platform for big data analytics, hide the complex execution environment. Some of big data handling approaches are data warehouses, batch processing, real time processing and edge computing.

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