EMERGING TRENDS IN COMPUTING
INTERNET OF THINGS IOT
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Reduction of network traffic
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Suitable for IoT tasks and queries
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Low latency requirement
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Scalability
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Detailed explanation-1: -Fog computing reduces the volume of data that is sent to the cloud, thereby reducing bandwidth consumption and related costs. Improved response time. Because the initial data processing occurs near the data, latency is reduced, and overall responsiveness is improved.
Detailed explanation-2: -A more complicated system-fog is an additional layer in the data processing and storage system. Additional expenses-companies should buy edge devices: routers, hubs, gateways. Limited scalability-fog is not as scalable as the cloud.
Detailed explanation-3: -Fog provides low latency; Cloud provides high latency. Without an internet connection, a cloud system collapses. Fog computing uses different protocols and standards, so the risk of failure is very low. Fog is a more secure system than Cloud due to its distributed architecture.
Detailed explanation-4: -Explanation: Fog computing refers to extending cloud computing to the edge of an enterprise’s network. Fog computing facilitates the operation of computer, storage, and networking services between end devices and computing data centers.