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Internet of Things Bringing Fog, Edge & Mist Computing for Big Data

Student: Lee Kim seng

Supervisor: Petr Panfilov

Faculty: Graduate School of Business

Educational Programme: Big Data Systems (Master)

Final Grade: 7

Year of Graduation: 2021

In this day and age, technology has advanced to the point that lot of technologies are deployed in the world of digital devices, which cause it being oversaturated with many different kinds of digital devices to simplify our daily lives. While technological advancement can have negative consequences, it can also have positive consequences. Multiple problems associated with centralized cloud architectures, such as latency, bandwidth, stability, and reliability, have arisen as a result of the use of Cloud computing. As a result, businesses must search for alternatives to Cloud computing. The proliferation of ubiquitous computing devices, aided by the the Internet of Things (IoT) technology trend, necessitates a shift in how these devices are used and where the produced data is processed. Since these computing devices do not only produce data but also compute and store it, a new paradigm has emerged. Fog computing is a decentralized computing model that moves the focus of attention away from a centralized Cloud computing environment and toward the network's edge. To overcome the shortcoming of Cloud computing and to expand to the edge of an enterprise's network, new models of computing have been created. Fog, Edge, Dew and Mist computing are network architectures that can operate with low latency and low bandwidth requirements while also providing greater protection for sensitive data. It will not be an easy task to understand the difference between them and it can be complicated. Thus, with the knowledge of it will be able to utilize the full potential of these network architectures. It is also explain how the different computing come about to exist with their use cases.

Full text (added May 20, 2021)

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