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There are seven stages to a MapReduce job: - Job setup - Load Split - Map - Copy - Merge - Reduce - Write part
There are seven stages to a MapReduce job:
Job setup Load Split Map Copy Merge Reduce Write part
Recall Admhal's Law for evaluating the speedup of parallel tasks and your knowledge of which stages can be parallelized among the stages for the MapReduce Job. Assume job setup, and copymerge take and seconds, respectively. Assume with no parallelization, the load splitmapper tasks would take seconds and the reducerswrite part would take seconds. Given that you have CPU cores, then based on Amdahl's Law, what would be the achievable speedup in this case?
Round up the result to the nearest integer eg and
Hint: you need to calculate how much of the total time percentage, the nonparallelizable sequential stages ief take and then apply Amdahl's law.
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