Edge Computing in IoT

Edge Computing in IoT. What is edge computing in IoT? Edge computing allows data produced by internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds. Edge computing is perfect for IoT for three reasons.

• Firstly because the data is processed nearer the point of origin, you reduce the latency between devices and data processing layer, thereby enabling faster response and decision making.
• Secondly, as edge computing means the data is localized, should any individual device malfunction, it does not have a knock-on effect on others as a result. Retaining the data locally also provides a boost to compliance and security as there are fewer opportunities for hackers to access all data at once.
• Finally, by distributing and storing your data into smaller data repositories, you can more easily segment manufacturing analytics into specific types of manufacturing and geographic regions as you don’t have to pull data extracts from a centralized corporate database.

The increase of IoT devices at the edge of the network is producing a massive amount of data to be computed to data centers, pushing network bandwidth requirements to the limit. Edge Computing in IoT Despite the improvements of network technology, data centers cannot guarantee acceptable transfer rates and response times, which could be a critical requirement for many applications.

The proliferation of Internet of Things (IoT) and the success of rich cloud services have pushed the horizon of a new computing paradigm, edge computing, which calls for processing the data at the edge of the network. Edge computing has the potential to address the concerns of response time requirement, battery life constraint, bandwidth cost saving, as well as data safety and privacy.

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