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Fog and Edge Computing (MSCCLOUD1_B)

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Which application models are considered in iFogSim? Using these models sensors publish data, fog devices process it, and actuators execute the actions.

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What is the main advantage of the Lambda Architecture for IoT data processing on the cloud?

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What role does the Kafka cluster play in the combined edge/core cloud architecture for machine learning models?   

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Which Hadoop component is responsible for managing the metadata of files stored in HDFS?

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What are the types of application edges supported by iFogSim?

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Typically, surveillance cameras may run a local media server that serves camera feed streams to attached clients. However, for security purposes, these cameras do not have public routable IP addresses and inbound connections are often blocked on many local networks. This complicates accessing cameras directly from the public network. However, the cloud global presence can provide ingress endpoints to devices and egress endpoints to consumers. For example, in the case of surveillance camera, cloud can offer video ingress endpoints that take in video (camera) streams through RTMP protocol, and video egress endpoints that server up video in different formats (such as MPEG-DASH, Apple HLS) to attached clients. This

pattern is called
.

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