Evaluation of MapReduce in a large cluster
Kamal Kc Chin-Jung Hsu and Vincent W. Freeh
This paper discusses our experiences in three areas. The first describes scaling behavior of applications as the dataset size increases. The second discusses the appropriate settings for parallelism and overlap of map and reduce tasks. The third area discusses general observations.