Clustor provides many benefits, especially when a lot of computing power or time is required. The project addressed here would take much longer to run on a single computer. The average time to finish each job on the 10x10 chessboard was about 20 minutes. The 361 jobs performed would therefore take about 5 days on a single machine.  Using Clustor to spread the jobs between 8 - 10 computers, the time became about 8 hours. This is a huge time improvement.

The program used in this experiment still doesn't maximize the use of Clustor. The program could be changed easily so that the chessboard size was input at the command line. To facilitate this, the dataprep program would also have to be altered so that it could pipe into the program queen.

Instead of using the ranum files to supply random numbers, Clustor could be used generate a random number seed for use with Nqasyned.c, which could then produce it's own random numbers.

Another useful refinement would have been to let the queen program accept a string that tells it the location of the ranum files. Clustor could have handled another parameter which stored this string and passed it to each job.