Edge computing is a form of computing that is done on site or near a particular data source, minimizing the need for data to be processed in a remote data center .
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Edge computing can enable more effective city traffic management. Examples of this include optimising bus frequency given fluctuations in demand, managing the opening and closing of extra lanes, and, in future, managing autonomous car flows .
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The aim of Edge Computing is to push computation to the edge of the network away from data centers , exploiting the capabilities of smart objects, mobile phones and network gateways to provide services and processing on behalf of the cloud.
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Edge computing is the processing of sensor data away from centralized nodes and near to the network’s logical edge, toward individual data sources .
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Edge computing is already in use all around us – from the wearable on your wrist to the computers parsing intersection traffic flow . Other examples include smart utility grid analysis, safety monitoring of oil rigs, streaming video optimization, and drone-enabled crop management.
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Why is Edge Computing Important? Edge computing is important because it creates new and improved ways for industrial and enterprise-level businesses to maximize operational efficiency, improve performance and safety, automate all core business processes, and ensure “always on” availability.
Read moreWhat is meant by edge computing?
Edge computing is a form of computing that is done on site or near a particular data source, minimizing the need for data to be processed in a remote data center .
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