Parallel Timing Model Applied to Hadoop Applications on a Private Cloud

The purpose in conducting the research presented in this paper is to determine the applicability of a parallel scalability model to Apache Hadoop on a cloud computer. In doing this, the goal is to identify possible optimizations of map-reduce systems for more efficient computation. The results of the experiment indicate that Hadoop does not have the necessary features for it to be adaptable to the model, but that certain optimizations can be made nonetheless.