Edge Computing: Simply In Depth

● This book facilitates and features the Edge Computing with respect to Mobile, IoT and IIoT technologies. I tried to cover from it's evolution, architecture, implementation and standard role of IoT. All the things are covered along with in depth industry's real-life and practical use cases.
● This book is also aimed to the curriculum of the Edge Computing of prominent Universities / Institutions across the World.
● The IoT edge computing is significantly different from non-IoT edge computing, with distinct demands and considerations. The IoT devices typically have limited data processing and storage capabilities, so substantial data processing needs to occur off the device, with the edge offering an environment to undertake this processing and manage large volumes of IoT devices and data. This in turn can reduce device cost, as many functions can be off-loaded to the edge. The location of the edge itself has various possibilities and will differ according to the use case. For example, the edge for IoT could reside at an operator's local or regional data centre, at a base station or at a dedicated server on the customer's premises. The IoT market analysts expect the edge to play a significant role in supporting IoT implementations going forward, as it creates efficiencies and scale in networks that makes IoT deployments more self-sustaining.
● The IDC (International Data Corporation) estimate that that by 2022, IT spending on edge infrastructure will reach up to 18 percent of the total spend on IoT infrastructure. Mobile operators have the demonstrable capability to manage infrastructure, data and applications for IoT services, and are well placed to continue this with edge for IoT.

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