Consumption metrics gathered during an execution of the Distributed Machine Learning algorithm Alternating Least Squares (ALS) in an eigth-node cluster, by using the Spark framework.
cpu.alsA data frame containing 308 observations and four dimensions:
user: CPU usage by the algorithm
system: CPU usage spent by Operating System (O.S.)
iowait: waiting time for Input/Output (I/O) operations
softirq: CPU time spent by software interrupt requests
The values comprise the domain from 0 to 100, for all dimensions. The dataset contains zero-values, however there is no missing or null values.
** A spark cluster of N nodes has 1 (one) master node and N-1 slave nodes.
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