Last Updated on August 6, 2021 by Admin 3
Which of the following benefits is provided by fog computing? (Select the best answer.)
- It filters data before it goes to the cloud.
- It ensures reliable connectivity to the cloud.
- It allows more data to be stored in the cloud.
- It allows data to be transmitted to the cloud faster.
Explanation:
Fo computing filters data before it goes to the cloud. Fog computing is a method designed to alleviate the challenges of processing the data generated by Internet of Things (IoT) devices and transmitting that data to the cloud. IoT devices, which are often called embedded devices or smart objects, are typically lowpower, lowmemory devices with limited processing capabilities. These devices are used in a variety of applications, such as environmental monitoring, healthcare monitoring, process automation, and location tracking. Many embedded devices can transmit data wirelessly, and some are capable of transmitting over a wired connection. However, connectivity is generally unreliable and bandwidth is often constrained.
Io devices are numerous, and they produce a lot of data. For example, an airplanegenerates 10 terabytes (TB) of data for every 30 minutes of flight, and a tagged cow can generate an average of 200 megabytes (MB) of data per year. However, IoT devices often do not have the processing power to analyze the data, nor do they have the power or bandwidth to transmit a lot of data. Fog computing addresses these concerns by storing, processing, and filtering IoT data locally, sending only critical information to the cloud.
Fo computing does not ensure reliable connectivity to the cloud. However, because fogcomputing handles most of the data locally, security and resiliency of the data are increased.
Fo computing does not allow more data to be stored in the cloud. However, because fogcomputing processes and filters data before it is sent to the cloud, the cloud storage space can be filled with relevant data rather than irrelevant, unprocessed data.
Fo computing does not allow data to be transmitted to the cloud faster. However, because fog computing selectively chooses only the most relevant data to send to the cloud, more bandwidth is freed up for data to be sent.
Fo computing filters data before it goes to the cloud. Fog computing is a method designed to alleviate the challenges of processing the data generated by Internet of Things (IoT) devices and transmitting that data to the cloud. IoT devices, which are often called embedded devices or smart objects, are typically lowpower, lowmemory devices with limited processing capabilities. These devices are used in a variety of applications, such as environmental monitoring, healthcare monitoring, process automation, and location tracking. Many embedded devices can transmit data wirelessly, and some are capable of transmitting over a wired connection. However, connectivity is generally unreliable and bandwidth is often constrained.
Io devices are numerous, and they produce a lot of data. For example, an airplanegenerates 10 terabytes (TB) of data for every 30 minutes of flight, and a tagged cow can generate an average of 200 megabytes (MB) of data per year. However, IoT devices often do not have the processing power to analyze the data, nor do they have the power or bandwidth to transmit a lot of data. Fog computing addresses these concerns by storing, processing, and filtering IoT data locally, sending only critical information to the cloud.
Fo computing does not ensure reliable connectivity to the cloud. However, because fogcomputing handles most of the data locally, security and resiliency of the data are increased.
Fo computing does not allow more data to be stored in the cloud. However, because fogcomputing processes and filters data before it is sent to the cloud, the cloud storage space can be filled with relevant data rather than irrelevant, unprocessed data.
Fo computing does not allow data to be transmitted to the cloud faster. However, because fog computing selectively chooses only the most relevant data to send to the cloud, more bandwidth is freed up for data to be sent.
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