Why data volume is a problem in IoT-based cloud computing?
a. because data are encrypted and hard to analyze
b. because data coming from IoT devices are always in raw format and difficult to store
c. because the density of IoT devices is increasing each day and in turn the volume of generated data is growing very fast
d. because IoT device density is decreasing each day and in turn the volume of generated data are decreasing very fast
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c. because the density of IoT devices is increasing each day and in turn the volume of generated data is growing very fast
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"Data volume" is a "problem" in IoT-based cloud computing c) because the "density of IoT devices" is "increasing" in each turn, the "volume of generated data" is growing very fast.
"Internet of Things" (IoT) comprises of all the advanced techniques that are functioning based on the data. Here, in IoT, when we say data, it refers to a "huge volume" of the dataset that needs to be handled.
Hence, the data volume is a problem in IoT based cloud computing as it increases day by day.
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