{"id":4576,"date":"2018-08-28T22:41:44","date_gmt":"2018-08-28T22:41:44","guid":{"rendered":"https:\/\/ormuco.com\/?p=4576"},"modified":"2019-10-31T20:24:48","modified_gmt":"2019-10-31T20:24:48","slug":"blog-what-is-fog-computing","status":"publish","type":"post","link":"https:\/\/ormuco.com\/fr\/blog\/what-is-fog-computing","title":{"rendered":"What Is Fog Computing?"},"content":{"rendered":"

Performance and cost control are at the center of every business owner’s to-do list. Companies are under pressure to deliver highly responsive IT services. Cloud computing was once praised as the absolute solution for better IT services and budget savings, but more businesses are losing faith in it as it has shown its limitations. The reason is, computing now involve the usage of more smart devices and\u00a0 it is clear that the cloud’s centralized model is a bottleneck to performance. Fortunately, there are some alternatives to cloud computing and one of them is “fog computing”.<\/p>\n

But what is “fog computing”? In this article, we\u2019ll take a look at its basics, explain how it relates to the Internet of Things (IoT) and show how it can help you generate income.<\/p>\n

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Defining Fog Computing \u2013 How Is It Related to IoT?<\/h2>\n

The term \u201cfog computing\u201d appeared in 2012 when scientists started outlining the need for consistent performance in IoT scenarios that requires computing “at the edge” of the network.<\/p>\n

Fog computing is the practice of extending cloud computing to the edge of the network, using computers and servers that are more powerful than traditional \u201cedge devices\u201d. In this way, it\u2019s related to edge computing<\/a> \u2013 but it\u2019s still a distinct concept.<\/p>\n

Think of it this way. In a traditional edge computing scenario, such as monitoring\u00a0temperature in a plant, data may be collected and processed directly by advanced temperature sensors, before it\u2019s sent to a cloud server. In this case, 10% of computing power may be located in the edge devices \u2013 but about 90% of the work is still done in the central cloud.<\/p>\n

As the name suggests, \u201cfog computing\u201d expands the cloud at a much greater scale<\/strong>. Let\u2019s use self-driving cars as an example. Together, the computers in the car and the local edge devices used to process this data could do 50% or more of the computing. The central cloud data center may be responsible for less than 50% of the total workload.<\/p>\n

Essentially, then, fog computing is a decentralized <\/strong>method of computing, that focuses on using multiple, smaller data centers (“cloudlets”) located in different geographical areas, which handle a larger percentage of the workload, compared to a traditional edge computing installations.<\/p>\n

\"Webcast<\/a><\/p>\n

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Scenarios For Fog Computing \u2013 What Is It Used For?<\/h2>\n

Fog computing is ideal for scenarios in which efficiency and low latency are critical, and where it\u2019s necessary to reduce the amount of data that is sent to the primary cloud data center for analysis, processing, and storage.<\/p>\n

Here are a few examples of scenarios for fog computing, based on information released by Cisco<\/a><\/u> and papers published by Hindawi<\/a><\/u> and AI Trends<\/a><\/u>.<\/p>\n