Scripts for distributed execution results

[nicelhc13]

plan:
run bash script to execute all exepriments and organize outputs as parsing scripts expect -->
run python scripts to parse them and output csv -->
run R script (which is I am more familiar, but we can use python plots) and generate plots.

planned plots:

1. graph type - total execution time
2. partitioning policy - per-host "computation" time to see load balancing

[nicelhc13]

I already made scripts for experiments for normal distributed Galois apps.
I will port them to our future workaround apps.
R plots would not take long time if I have correct CSVs.