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Cities , hospitals , universities , and businesses of all types currently face a decision to either modernise existing infrastructure with an overlay of new IoT equipment or rip and replace existing equipment in its entirety .

In these situations , many managers seek creative ways to extend the life of what they have already deployed while also trying to be forward compatible with future platforms .

Balancing the needs of the teams responsible for building , owning , and operating infrastructure such as IT , facilities , networking , and security is a delicate task filled with technical and financial challenges . In these environments , flexible solutions to remotely monitor and manage remote , unstaffed facilities and a layer of onsite infrastructure sensor intelligence are needed .

Introduction

The world appears to be on a long-term path toward mass urbanisation . Most outlooks , including that of the United Nations , predict that by 2030 more than 50 % of the world ’ s population will live in cities . Given that , many cities have declared that they will become “ smart cities ” that seek to improve citizens ’ quality of life through increased digitalisation of services and open access to data . Data and regulation will be used to make these smart cities greener and safer .

Government offices throughout these cities deploy an increased number of security cameras to show wildlife in its native habitat , watch pedestrians , evaluate vehicular traffic flow , and supervise mass transit . Streets have embedded sensors collecting data on vehicular speeds and open parking spaces . Even the city-developed mobile apps can detect or report everything from potholes on the roads to trash on the sidewalk .

Electric vehicle chargers are being installed in parking spaces throughout these cities and are available by reservation through smartphone applications . All these applications require the support of compute power coming from data centres or distributed Edge computing locations . p

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