For each problem and data set described below, state how would you setup the (key, value) pairs as inputs and outputs for the mappers and reducers. also, explain the operation performed by the map and reduce functions given their input. assume your hadoop program uses textinputformat as its input format (where each record corresponds to a line of the input file). since the inputs for the mappers are the same (byte offset, content of the line), you only need to specify the mappers’ outputs. if the problem requires more than one mapreduce jobs, specify the role of each map/reduce function along with their input and output key-value pairs). you should solve the problem with minimum number of mapreduce jobs.

Ashielded metal arc-welding operation is accomplished in a work cell by a fitter and a welder. the fitter takes 5.5 min to load components into the welding fixture at the beginning of the work cycle, and 1.5 min to unload the completed weldment at the end of the cycle. the total ength of the weld seams 1200 mm, and the travel speed used by the welder averages 300 mm/min. every 600 mm of seam length, the welding stick must be changed, which takes 0.8 min. while the fitter is working, the welder is idle (resting): and while the welder is working the fitter is idle. (a) determine the average arc-on time as a fraction of the work cycle time. (b) how much improvement in arc-on time would result if the welder used flux-cored arc welding (manually operated), given that the spool of weld wire must be changed every 10 weldments, and it takes the welder 5.0 min to accomplish the change? (c) what are the production rates for these two cases (weldments completed per hour)? attach your work and solutions.