{"id":23390,"date":"2024-09-25T10:54:41","date_gmt":"2024-09-25T02:54:41","guid":{"rendered":"https:\/\/www.robustel.com\/?p=23390"},"modified":"2024-10-25T16:59:26","modified_gmt":"2024-10-25T08:59:26","slug":"edge-computing-what-you-need-to-know","status":"publish","type":"post","link":"https:\/\/www.robustel.com\/au\/iot-technology-solutions-blog\/edge-computing-what-you-need-to-know\/","title":{"rendered":"Edge Computing: What it is and Why Does It Matter?"},"content":{"rendered":"\n\n\t
Beyond common cloud computing, edge computing is also becoming a game-changer in the IoT world<\/a>. Reduced latency, real-time responsiveness, and increased bandwidth economy are just a few benefits that come with bringing data processing and storage closer to the point of generation.<\/p>\n <\/p>\n However, let us explore edge computing even more. In comparison to cloud computing, what are its benefits? Which uses is edge computing useful for?<\/strong><\/p>\n <\/p>\n <\/p>\n Although cloud computing has probably received a lot of attention, edge computing is also a important player. While local computing processes data directly on your device and cloud computing processes data in distant data centers, edge computing lies in the middle and solves issues that neither can handle on its own:<\/p>\n Edge computing essentially allows for faster, more effective, and more secure data processing by bringing computation and data storage closer to the point of demand.<\/p>\n <\/p>\n A typical edge computing setup involves a three-tiered structure:<\/p>\n <\/p>\n Edge computing can be broadly categorized into two types based on the processor used:<\/p>\n <\/p>\n With the rise of the Internet of Things (IoT)<\/a>, machines and equipment are becoming increasingly intelligent. Significant computer power and an immense amount of data are need for this intelligence. In this situation, computing is the queen that controls how the data is used, while data is the king.<\/p>\n <\/p>\n More data is needed for machine and equipment intelligence. This is where it originates:<\/p>\n Through the integration, examination, and comprehension of this IT and OT data, we may create intelligent applications. Applications that increase the machine’s intelligence, boost quality control while the equipment is operating, or allow predictive maintenance to avert unplanned malfunctions are a few examples of these.<\/p>\n <\/p>\n Connectivity is the cornerstone of it all. The ability to connect and communicate is necessary for all of this data. Thus, the first and most important step in allowing machine intelligence and realizing the full potential of the Internet of Things is to create dependable connections.<\/p>\n <\/p>\n <\/p>\n Edge computing is ideal in scenarios where:<\/p>\n <\/p>\n <\/p>\n The IIoT architecture can be summarized as “end-pipe-edge-application.”<\/em><\/strong> To achieve its goals, edge computing in the IIoT needs to realize the following core functions:<\/p>\n Support for containerization considerably simplifies the deployment of applications across many platforms.<\/p>\nWhat is Edge Computing?<\/h2>\n
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Edge Computing Architecture<\/h2>\n
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Edge Computing Classifications Based on Processor Type<\/h2>\n
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Where does the data used for computing originate?<\/h2>\n
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What scenarios require the use of edge computing?<\/h2>\n
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What Functions does edge computing need to realize in the Industrial Internet of Things (IIoT) system?<\/h2>\n
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