Why data volume is a problem in IoT-based cloud computing?

Edge Computing - Quiz(MCQ)

because data are encrypted and hard to analyze

because data coming from IoT devices are always in raw format and difficult to store

because IoT device density is decreasing each day and in turn the volume of generated data are decreasing very fast

because the density of IoT devices is increasing each day and in turn the volume of generated data is growing very fast

Correct Answer : because the density of IoT devices is increasing each day and in turn the volume of generated data is growing very fast

Recently Updated in Edge Computing Questions

Why data volume is a problem in IoT-based cloud computing?

because data are encrypted and hard to analyze

because data coming from IoT devices are always in raw format and difficult to store

because IoT device density is decreasing each day and in turn the volume of generated data are decreasing very fast

because the density of IoT devices is increasing each day and in turn the volume of generated data is growing very fast

Correct Answer : because the density of IoT devices is increasing each day and in turn the volume of generated data is growing very fast

What is a good approach to reduce latency?

Analyzing data in cloud

Increasing number of nodes

Decreasing number of nodes

Analyzing data close to the data source

Correct Answer : Analyzing data close to the data source

If the time-sensitive data are sent to cloud for analysis, the latency will _______

Increase

Decrease

Neither increase nor decrease

It will increase and then decrease

Correct Answer : Increase

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