run_1.expts

#!/bin/bash
#./run_1.expts
# Used for generating measurements using Simulate/Simulate3 for various algorithms
# Algorithm is indicated by algnum
# algnum: 0 is Directed Graph
#         1 is Access Matrix
#         2 is Authorization Recycling
#         3 is CPOL
#         4 is both Bloom and Cascade Bloom filter (as dictated by depth)
# Note: for authorization recycling, we need to use Simulate/Simulate2 instead because
#       the way authorization recycling does access enforcement is different from the others
#       as it goes to the PDP on-demand, and no a priori.

rm -f stats.sperac_*
rm Data/means
for dataset in 5
do
	for rbac in 1
	do
	cp rbac$rbac Data/rbac-state
		for session in 20
		do 
			cp dataset$dataset/instructions$rbac.$session Data/instructions
			for algnum in 0 1 3
			do
				LOOPLIMIT=5
				touch Data/means
				#cp _stats.R$rbac.argv$session.S$sessions.alg$algnum Data/means
				for ((a=0 ; a <= LOOPLIMIT; a=$(/usr/bin/wc -l $l Data/means | /usr/bin/awk '{printf("%d\n", $l)}')+1 ))
				do 
				    java -Xms1500M -Xmx1500M Simulate.Simulate3 Data/rbac-state $algnum 98726 2 3
				    java Simulate.Measurements
				done 
				mv Data/means _stats.dataset$dataset.R$rbac.S$session.alg$algnum.CBF
			done
		#	for algnum in 2
                #        do
                #                LOOPLIMIT=5
                #                touch Data/means
                #                #cp _stats.R$rbac.argv$session.S$sessions.alg$algnum Data/means
                #                for ((a=0 ; a <= LOOPLIMIT; a=$(/usr/bin/wc -l $l Data/means | /usr/bin/awk '{printf("%d\n", $l)}')+1 ))
                #                do
                #                    java -Xms1500M -Xmx1500M Simulate.Simulate2 Data/rbac-state $algnum
                #                        java Simulate.Measurements
                #                done
                #                mv Data/means _stats.dataset$dataset.R$rbac.S$session.alg$algnum
                #        done

		done
	done

done
exit 0