def load_augmented_tf_to_nusmv(replication_factor, dir_path):
'''
For Model Checking Project.
Creates NuSMV file from transfer function objects of replicated Stanford network.
'''
nusmv = NuSMV()
cs = ciscoRouter(1)
nusmv.set_output_port_offset(cs.PORT_TYPE_MULTIPLIER *
cs.OUTPUT_PORT_TYPE_CONST)
(port_map, port_reverse_map) = load_port_to_id_map(dir_path)
end_ports = []
for replicate in range(1, replication_factor + 1):
for rtr_name in rtr_names:
f = TF(1)
f.load_object_from_file("%s/%s%d.tf" %
(dir_path, rtr_name, replicate))
nusmv.generate_nusmv_trans(f, [])
end_ports_subset = get_end_ports(port_map, "%d" % replicate)
end_ports.extend(end_ports_subset)
f = TF(1)
f.load_object_from_file("%s/root.tf" % (dir_path))
nusmv.generate_nusmv_trans(f, [])
f = TF(1)
f.load_object_from_file("%s/backbone_topology.tf" % dir_path)
nusmv.generate_nusmv_trans(f, end_ports)
nusmv.generate_nusmv_input()
return nusmv
def load_augmented_tf_to_nusmv(replication_factor,dir_path):
'''
For Model Checking Project.
Creates NuSMV file from transfer function objects of replicated Stanford network.
'''
nusmv = NuSMV()
cs = ciscoRouter(1)
nusmv.set_output_port_offset(cs.PORT_TYPE_MULTIPLIER * cs.OUTPUT_PORT_TYPE_CONST)
(port_map,port_reverse_map) = load_port_to_id_map(dir_path)
end_ports = []
for replicate in range(1,replication_factor+1):
for rtr_name in rtr_names:
f = TF(1)
f.load_object_from_file("%s/%s%d.tf"%(dir_path,rtr_name,replicate))
nusmv.generate_nusmv_trans(f, [])
end_ports_subset = get_end_ports(port_map,"%d"%replicate)
end_ports.extend(end_ports_subset)
f = TF(1)
f.load_object_from_file("%s/root.tf"%(dir_path))
nusmv.generate_nusmv_trans(f, [])
f = TF(1)
f.load_object_from_file("%s/backbone_topology.tf"%dir_path)
nusmv.generate_nusmv_trans(f,end_ports)
nusmv.generate_nusmv_input()
return nusmv
def print_paths_to_database(paths, reverse_map, table_name):
# Timeout = 6000s
insert_string = "INSERT INTO %s VALUES (?, ?, ?, ?, ?, ?, ?)" % table_name
queries = []
for p_node in paths:
path_string = ""
for port in p_node["visits"]:
path_string += ("%d " % port)
path_string += ("%d " % p_node["port"])
port_count = len(p_node["visits"]) + 1
rl_id = ""
for (n, r, s) in p_node["hdr"].applied_rule_ids:
rl_id += (r + " ")
rule_count = len(p_node["hdr"].applied_rule_ids)
input_port = p_node["visits"][0]
output_port = p_node["port"]
output_hs = p_node["hdr"].copy()
applied_rule_ids = list(output_hs.applied_rule_ids)
input_hs = trace_hs_back(applied_rule_ids, output_hs, output_port)[0]
header_string = json.dumps(parse_hs(ciscoRouter(1).hs_format, input_hs.hs_list[0]))
#header_string = byte_array_to_pretty_hs_string(input_hs.hs_list[0])
queries.append((header_string, input_port, output_port, path_string, port_count, rl_id, rule_count))
conn = sqlite3.connect(DATABASE_FILE, 6000)
for query in queries:
conn.execute(insert_string, query)
conn.commit()
conn.close()
def load_port_to_id_map(path):
'''
load the map from port ID to name of box-port name.
'''
f = open("%s/port_map.txt"%path,'r')
id_to_name = {}
map = {}
rtr = ""
cs = ciscoRouter(1)
for line in f:
if line.startswith("$"):
rtr = line[1:].strip()
map[rtr] = {}
elif line != "":
tokens = line.strip().split(":")
map[rtr][tokens[0]] = int(tokens[1])
id_to_name[tokens[1]] = "%s-%s"%(rtr,tokens[0])
out_port = int(tokens[1]) + cs.PORT_TYPE_MULTIPLIER * cs.OUTPUT_PORT_TYPE_CONST
id_to_name["%s"%out_port] = "%s-%s"%(rtr,tokens[0])
return (map,id_to_name)
def load_port_to_id_map(path):
'''
load the map from port ID to name of box-port name.
'''
f = open("%s/port_map.txt"%path,'r')
id_to_name = {}
map = {}
rtr = ""
cs = ciscoRouter(1)
for line in f:
if line.startswith("$"):
rtr = line[1:].strip()
map[rtr] = {}
elif line != "":
tokens = line.strip().split(":")
map[rtr][tokens[0]] = int(tokens[1])
id_to_name[tokens[1]] = "%s-%s"%(rtr,tokens[0])
out_port = int(tokens[1]) + cs.PORT_TYPE_MULTIPLIER * cs.OUTPUT_PORT_TYPE_CONST
id_to_name["%s"%out_port] = "%s-%s"%(rtr,tokens[0])
return (map,id_to_name)
def load_tf_to_nusmv():
'''
For Model Checking Project.
Creates NuSMV file from transfer function objects of Stanford network.
'''
nusmv = NuSMV()
cs = ciscoRouter(1)
nusmv.set_output_port_offset(cs.PORT_TYPE_MULTIPLIER * cs.OUTPUT_PORT_TYPE_CONST)
for rtr_name in rtr_names:
f = TF(1)
f.load_object_from_file("work/tf_stanford_backbone/%s.tf"%rtr_name)
nusmv.generate_nusmv_trans(f, [])
(port_map,port_reverse_map) = load_stanford_backbone_port_to_id_map()
end_ports = get_end_ports(port_map,"")
f = TF(1)
f.load_object_from_file("work/tf_stanford_backbone/backbone_topology.tf")
nusmv.generate_nusmv_trans(f,end_ports)
nusmv.generate_nusmv_input()
return nusmv
def load_tf_to_nusmv():
'''
For Model Checking Project.
Creates NuSMV file from transfer function objects of Stanford network.
'''
nusmv = NuSMV()
cs = ciscoRouter(1)
nusmv.set_output_port_offset(cs.PORT_TYPE_MULTIPLIER * cs.OUTPUT_PORT_TYPE_CONST)
for rtr_name in rtr_names:
f = TF(1)
f.load_object_from_file("work/tf_stanford_backbone/%s.tf"%rtr_name)
nusmv.generate_nusmv_trans(f, [])
(port_map,port_reverse_map) = load_stanford_backbone_port_to_id_map()
end_ports = get_end_ports(port_map,"")
f = TF(1)
f.load_object_from_file("work/tf_stanford_backbone/backbone_topology.tf")
nusmv.generate_nusmv_trans(f,end_ports)
nusmv.generate_nusmv_input()
return nusmv
def print_paths_to_database(paths, reverse_map, table_name):
# Timeout = 6000s
insert_string = "INSERT INTO %s VALUES (?, ?, ?, ?, ?, ?, ?)" % table_name
queries = []
for p_node in paths:
path_string = ""
for port in p_node["visits"]:
path_string += ("%d " % port)
path_string += ("%d " % p_node["port"])
port_count = len(p_node["visits"]) + 1
rl_id = ""
for (n, r, s) in p_node["hdr"].applied_rule_ids:
rl_id += (r + " ")
rule_count = len(p_node["hdr"].applied_rule_ids)
input_port = p_node["visits"][0]
output_port = p_node["port"]
output_hs = p_node["hdr"].copy()
applied_rule_ids = list(output_hs.applied_rule_ids)
input_hs = trace_hs_back(applied_rule_ids, output_hs, output_port)[0]
header_string = json.dumps(
parse_hs(ciscoRouter(1).hs_format, input_hs.hs_list[0]))
#header_string = byte_array_to_pretty_hs_string(input_hs.hs_list[0])
queries.append((header_string, input_port, output_port, path_string,
port_count, rl_id, rule_count))
conn = sqlite3.connect(DATABASE_FILE, 6000)
for query in queries:
conn.execute(insert_string, query)
conn.commit()
conn.close()
def get_end_ports(name_to_id, index):
linked_ports = [
("bbra_rtr", "te7/3"),
("bbra_rtr", "te7/2"),
("bbra_rtr", "te7/1"),
("bbra_rtr", "te1/3"),
("bbra_rtr", "te1/4"),
("bbra_rtr", "te6/1"),
("bbra_rtr", "te6/3"),
("bbrb_rtr", "te7/1"),
("bbrb_rtr", "te7/2"),
("bbrb_rtr", "te7/4"),
("bbrb_rtr", "te6/3"),
("bbrb_rtr", "te6/1"),
("bbrb_rtr", "te1/1"),
("bbrb_rtr", "te1/3"),
("boza_rtr", "te2/1"),
("boza_rtr", "te3/1"),
("boza_rtr", "te2/3"),
("bozb_rtr", "te2/3"),
("bozb_rtr", "te2/1"),
("bozb_rtr", "te3/1"),
("coza_rtr", "te3/1"),
("coza_rtr", "te2/1"),
("coza_rtr", "te2/3"),
("cozb_rtr", "te2/3"),
("cozb_rtr", "te2/1"),
("cozb_rtr", "te3/1"),
("goza_rtr", "te2/1"),
("goza_rtr", "te3/1"),
("goza_rtr", "te2/3"),
("gozb_rtr", "te2/3"),
("gozb_rtr", "te2/1"),
("gozb_rtr", "te3/1"),
("poza_rtr", "te2/1"),
("poza_rtr", "te3/1"),
("poza_rtr", "te2/3"),
("pozb_rtr", "te2/3"),
("pozb_rtr", "te2/1"),
("pozb_rtr", "te3/1"),
("roza_rtr", "te3/1"),
("roza_rtr", "te2/1"),
("roza_rtr", "te2/3"),
("rozb_rtr", "te2/3"),
("rozb_rtr", "te2/1"),
("rozb_rtr", "te3/1"),
("soza_rtr", "te2/1"),
("soza_rtr", "te3/1"),
("soza_rtr", "te2/3"),
("sozb_rtr", "te2/3"),
("sozb_rtr", "te3/1"),
("sozb_rtr", "te2/1"),
("yoza_rtr", "te7/1"),
("yoza_rtr", "te1/3"),
("yoza_rtr", "te1/1"),
("yoza_rtr", "te1/2"),
("yozb_rtr", "te1/2"),
("yozb_rtr", "te1/3"),
("yozb_rtr", "te2/1"),
("yozb_rtr", "te1/1"),
]
end_ports = []
cs = ciscoRouter(1)
for rtr_name in rtr_names:
mod_rtr_name = "%s%s" % (rtr_name, index)
for rtr_port in name_to_id[mod_rtr_name]:
if (rtr_name, rtr_port) not in linked_ports:
end_ports.append(name_to_id[mod_rtr_name][rtr_port] +
cs.PORT_TYPE_MULTIPLIER *
cs.OUTPUT_PORT_TYPE_CONST)
return end_ports
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
Created on Aug 14, 2011
@author: Peyman Kazemian
'''
from utils.load_stanford_backbone import *
from config_parser.cisco_router_parser import ciscoRouter
from headerspace.hs import *
from headerspace.applications import *
from time import time, clock
(ntf, ttf, port_map, port_reverse_map) = load_replicated_stanford_network(
16, "16xtf_stanford_backbone")
cs = ciscoRouter(1)
output_port_addition = cs.PORT_TYPE_MULTIPLIER * cs.OUTPUT_PORT_TYPE_CONST
#add_internet(ntf,ttf,port_map,cs,[("171.64.0.0",14),("128.12.0.0",16)])
all_x = byte_array_get_all_x(ntf.length)
#cs.set_field(all_x, "ip_dst", dotted_ip_to_int("172.0.0.0"), 21)
#cs.set_field(all_x, "vlan", 92, 0)
test_pkt = headerspace(ntf.length)
test_pkt.add_hs(all_x)
src_port_id = port_map["bbra_rtr1"]["te6/3"]
dst_port_ids = [port_map["roza_rtr10"]["te3/3"] + output_port_addition]
st = time()
paths = find_reachability(ntf, ttf, src_port_id, dst_port_ids, test_pkt)
"""
<Run loop detection test on Stanford network>
Created on Aug 14, 2011
@author: Peyman Kazemian
"""
from utils.load_stanford_backbone import *
from config_parser.cisco_router_parser import ciscoRouter
from headerspace.hs import *
from headerspace.applications import *
from time import time, clock
ntf = load_stanford_backbone_ntf()
ttf = load_stanford_backbone_ttf()
(port_map, port_reverse_map) = load_stanford_backbone_port_to_id_map()
cs = ciscoRouter(1)
output_port_addition = cs.PORT_TYPE_MULTIPLIER * cs.OUTPUT_PORT_TYPE_CONST
# add_internet(ntf,ttf,port_map,cs,[("171.64.0.0",14),("128.12.0.0",16)])
all_x = byte_array_get_all_x(ntf.length)
# cs.set_field(all_x, "ip_dst", dotted_ip_to_int("172.0.0.0"), 21)
# cs.set_field(all_x, "vlan", 92, 0)
test_pkt = headerspace(ntf.length)
test_pkt.add_hs(all_x)
loop_port_ids = [
port_map["bbra_rtr"]["te7/1"],
port_map["bbrb_rtr"]["te7/1"],
port_map["bbra_rtr"]["te6/3"],
port_map["bbrb_rtr"]["te7/4"],
def main():
global src_port_ids_global
global dst_port_ids_global
global port_map_global
global port_reverse_map_global
global ntf_global
global ttf_global
global DATABASE_FILE
parser = ArgumentParser(description="Generate Test Packets for stanford")
parser.add_argument("-p", dest="percentage", type=int,
default="100",
help="Percentage of test terminals")
parser.add_argument("-f", dest="filename",
default="stanford.sqlite",
help="Filename of the database")
parser.add_argument("-e", action="store_true",
default=False,
help="Edge port only")
parser.add_argument("--folder", dest="work_folder", help="Where to look for transfer functions")
args = parser.parse_args()
DATABASE_FILE = "work/%s" % args.filename
cs = ciscoRouter(1)
output_port_addition = cs.PORT_TYPE_MULTIPLIER * cs.OUTPUT_PORT_TYPE_CONST
# Load .tf files
ntf_global = load_stanford_backbone_ntf()
ttf_global = load_stanford_backbone_ttf()
(port_map_global, port_reverse_map_global) = load_stanford_backbone_port_to_id_map()
# Initialize the database
if os.access(DATABASE_FILE, os.F_OK):
os.remove(DATABASE_FILE)
conn = sqlite3.connect(DATABASE_FILE)
conn.execute('CREATE TABLE %s (rule TEXT, input_port TEXT, output_port TEXT, action TEXT, file TEXT, line TEXT)' % TABLE_NETWORK_RULES)
conn.execute('CREATE TABLE %s (rule TEXT, input_port TEXT, output_port TEXT)' % TABLE_TOPOLOGY_RULES)
conn.execute('CREATE TABLE %s (header TEXT, input_port INTEGER, output_port INTEGER, ports TEXT, no_of_ports INTEGER, rules TEXT, no_of_rules INTEGER)' % TABLE_TEST_PACKETS)
conn.execute('CREATE TABLE %s (header TEXT, input_port INTEGER, output_port INTEGER, ports TEXT, no_of_ports INTEGER, rules TEXT, no_of_rules INTEGER)' % TABLE_TEST_PACKETS_LOCALLY_COMPRESSED)
conn.execute('CREATE TABLE %s (rules TEXT, no_of_rules INTEGER)' % TABLE_TEST_PACKETS_GLOBALLY_COMPRESSED)
conn.execute('CREATE TABLE %s (rule TEXT)' % TABLE_RESULT_RULES)
rule_count = 0
for tf in ntf_global.tf_list:
rule_count += len(tf.rules)
for rule in tf.rules:
query = "INSERT INTO %s VALUES (?, ?, ?, ?, ?, ?)" % TABLE_NETWORK_RULES
conn.execute(query, (rule['id'],' '.join(map(str, rule['in_ports'])), ' '.join(map(str, rule['out_ports'])), rule['action'], rule["file"], ' '.join(map(str, rule["line"]))))
print "Total Rules: %d" % rule_count
conn.commit()
rule_count = len(ttf_global.rules)
for rule in ttf_global.rules:
query = "INSERT INTO %s VALUES (?, ?, ?)" % TABLE_TOPOLOGY_RULES
conn.execute(query, (rule['id'],' '.join(map(str, rule['in_ports'])), ' '.join(map(str, rule['out_ports']))))
print "Total Links: %d" % rule_count
# Generate all ports
for rtr in port_map_global.keys():
src_port_ids_global |= set(port_map_global[rtr].values())
total_length = len(src_port_ids_global)
if args.e == True:
src_port_ids_global = get_end_ports()
new_length = len(src_port_ids_global)* args.percentage / 100
src_port_ids_global = random.sample(src_port_ids_global, new_length)
print "Total Length: %d" % total_length
print "New Length: %d" % new_length
print src_port_ids_global
for port in src_port_ids_global:
port += output_port_addition
dst_port_ids_global.add(port)
#src_port_ids_global = [300013]
#dst_port_ids_global = [320010]
conn.commit()
conn.close()
# Run reachability
start_time = time.time()
pool = Pool()
result = pool.map_async(find_test_packets, src_port_ids_global)
# Close
pool.close()
pool.join()
end_time = time.time()
test_packet_count = result.get()
total_paths = sum(test_packet_count)
print "========== Before Compression ========="
print "Total Paths = %d" % total_paths
print "Average packets per port = %f" % (float(total_paths) / len(src_port_ids_global))
print "Total Time = %fs" % (end_time - start_time)
#Global Compressing
start_time = time.time()
conn = sqlite3.connect(DATABASE_FILE, 6000)
result_rule_lists = []
query = "SELECT rules FROM %s" % TABLE_TEST_PACKETS_LOCALLY_COMPRESSED
rows = conn.execute(query)
for row in rows:
result_rule_lists.append(row[0].split())
conn.close()
chunk_size = 80000
while(True):
print "Start a new round!"
conn = sqlite3.connect(DATABASE_FILE, 6000)
conn.execute('DROP TABLE IF EXISTS %s' % TABLE_SCRATCHPAD)
conn.execute('CREATE TABLE %s (rules TEXT, no_of_rules INTEGER)' % TABLE_SCRATCHPAD)
conn.commit()
conn.close()
start_len = len(result_rule_lists)
print start_len
pool = Pool()
no_of_chunks = len(result_rule_lists) / chunk_size + 1
rule_list_chunks = chunks(result_rule_lists, no_of_chunks)
result = pool.map_async(rule_lists_compress, rule_list_chunks)
# Close
pool.close()
pool.join()
result.get()
print "End of this round."
result_rule_lists = read_rule_lists_from_database(TABLE_SCRATCHPAD)
end_len = len(result_rule_lists)
if(float(end_len) / float(start_len) > 0.99):
break
end_time = time.time()
query = "INSERT INTO %s VALUES (?, ?)" % TABLE_TEST_PACKETS_GLOBALLY_COMPRESSED
query2 = "INSERT INTO %s VALUES (?)" % TABLE_RESULT_RULES
total_paths = len(result_rule_lists)
total_length = 0
conn = sqlite3.connect(DATABASE_FILE, 6000)
conn.execute('DROP TABLE IF EXISTS %s' % TABLE_TEST_PACKETS_GLOBALLY_COMPRESSED)
conn.execute('CREATE TABLE %s (rules TEXT, no_of_rules INTEGER)' % TABLE_TEST_PACKETS_GLOBALLY_COMPRESSED)
for rule_list in result_rule_lists:
total_length += len(rule_list)
conn.execute(query, (" ".join(rule_list), len(rule_list)))
for rule in rule_list:
conn.execute(query2, (rule,))
conn.commit()
conn.close()
print "========== After Compression ========="
print "Total Paths = %d" % total_paths
print "Average packets per port = %f" % (float(total_paths) / len(src_port_ids_global))
print "Average length of rule list = %f" % (float(total_length) / total_paths)
print "Total Time = %fs" % (end_time - start_time)
def get_end_ports(name_to_id,index):
linked_ports = [("bbra_rtr","te7/3"),
("bbra_rtr","te7/2"),
("bbra_rtr","te7/1"),
("bbra_rtr","te1/3"),
("bbra_rtr","te1/4"),
("bbra_rtr","te6/1"),
("bbra_rtr","te6/3"),
("bbrb_rtr","te7/1"),
("bbrb_rtr","te7/2"),
("bbrb_rtr","te7/4"),
("bbrb_rtr","te6/3"),
("bbrb_rtr","te6/1"),
("bbrb_rtr","te1/1"),
("bbrb_rtr","te1/3"),
("boza_rtr","te2/1"),
("boza_rtr","te3/1"),
("boza_rtr","te2/3"),
("bozb_rtr","te2/3"),
("bozb_rtr","te2/1"),
("bozb_rtr","te3/1"),
("coza_rtr","te3/1"),
("coza_rtr","te2/1"),
("coza_rtr","te2/3"),
("cozb_rtr","te2/3"),
("cozb_rtr","te2/1"),
("cozb_rtr","te3/1"),
("goza_rtr","te2/1"),
("goza_rtr","te3/1"),
("goza_rtr","te2/3"),
("gozb_rtr","te2/3"),
("gozb_rtr","te2/1"),
("gozb_rtr","te3/1"),
("poza_rtr","te2/1"),
("poza_rtr","te3/1"),
("poza_rtr","te2/3"),
("pozb_rtr","te2/3"),
("pozb_rtr","te2/1"),
("pozb_rtr","te3/1"),
("roza_rtr","te3/1"),
("roza_rtr","te2/1"),
("roza_rtr","te2/3"),
("rozb_rtr","te2/3"),
("rozb_rtr","te2/1"),
("rozb_rtr","te3/1"),
("soza_rtr","te2/1"),
("soza_rtr","te3/1"),
("soza_rtr","te2/3"),
("sozb_rtr","te2/3"),
("sozb_rtr","te3/1"),
("sozb_rtr","te2/1"),
("yoza_rtr","te7/1"),
("yoza_rtr","te1/3"),
("yoza_rtr","te1/1"),
("yoza_rtr","te1/2"),
("yozb_rtr","te1/2"),
("yozb_rtr","te1/3"),
("yozb_rtr","te2/1"),
("yozb_rtr","te1/1"),
]
end_ports = []
cs = ciscoRouter(1)
for rtr_name in rtr_names:
mod_rtr_name = "%s%s"%(rtr_name,index)
for rtr_port in name_to_id[mod_rtr_name]:
if (rtr_name,rtr_port) not in linked_ports:
end_ports.append(name_to_id[mod_rtr_name][rtr_port] + cs.PORT_TYPE_MULTIPLIER * cs.OUTPUT_PORT_TYPE_CONST)
return end_ports
def main():
global src_port_ids_global
global dst_port_ids_global
global port_map_global
global port_reverse_map_global
global ntf_global
global ttf_global
global DATABASE_FILE
parser = ArgumentParser(description="Generate Test Packets for stanford")
parser.add_argument("-p",
dest="percentage",
type=int,
default="100",
help="Percentage of test terminals")
parser.add_argument("-f",
dest="filename",
default="stanford.sqlite",
help="Filename of the database")
parser.add_argument("-e",
action="store_true",
default=False,
help="Edge port only")
args = parser.parse_args()
DATABASE_FILE = "work/%s" % args.filename
cs = ciscoRouter(1)
output_port_addition = cs.PORT_TYPE_MULTIPLIER * cs.OUTPUT_PORT_TYPE_CONST
# Load .tf files
ntf_global = load_stanford_backbone_ntf()
ttf_global = load_stanford_backbone_ttf()
(port_map_global,
port_reverse_map_global) = load_stanford_backbone_port_to_id_map()
# Initialize the database
if os.access(DATABASE_FILE, os.F_OK):
os.remove(DATABASE_FILE)
conn = sqlite3.connect(DATABASE_FILE)
conn.execute(
'CREATE TABLE %s (rule TEXT, input_port TEXT, output_port TEXT, action TEXT, file TEXT, line TEXT)'
% TABLE_NETWORK_RULES)
conn.execute(
'CREATE TABLE %s (rule TEXT, input_port TEXT, output_port TEXT)' %
TABLE_TOPOLOGY_RULES)
conn.execute(
'CREATE TABLE %s (header TEXT, input_port INTEGER, output_port INTEGER, ports TEXT, no_of_ports INTEGER, rules TEXT, no_of_rules INTEGER)'
% TABLE_TEST_PACKETS)
conn.execute(
'CREATE TABLE %s (header TEXT, input_port INTEGER, output_port INTEGER, ports TEXT, no_of_ports INTEGER, rules TEXT, no_of_rules INTEGER)'
% TABLE_TEST_PACKETS_LOCALLY_COMPRESSED)
conn.execute('CREATE TABLE %s (rules TEXT, no_of_rules INTEGER)' %
TABLE_TEST_PACKETS_GLOBALLY_COMPRESSED)
conn.execute('CREATE TABLE %s (rule TEXT)' % TABLE_RESULT_RULES)
rule_count = 0
for tf in ntf_global.tf_list:
rule_count += len(tf.rules)
for rule in tf.rules:
query = "INSERT INTO %s VALUES (?, ?, ?, ?, ?, ?)" % TABLE_NETWORK_RULES
conn.execute(
query,
(rule['id'], ' '.join(map(str, rule['in_ports'])), ' '.join(
map(str, rule['out_ports'])), rule['action'], rule["file"],
' '.join(map(str, rule["line"]))))
print "Total Rules: %d" % rule_count
conn.commit()
rule_count = len(ttf_global.rules)
for rule in ttf_global.rules:
query = "INSERT INTO %s VALUES (?, ?, ?)" % TABLE_TOPOLOGY_RULES
conn.execute(query, (rule['id'], ' '.join(map(
str, rule['in_ports'])), ' '.join(map(str, rule['out_ports']))))
print "Total Links: %d" % rule_count
# Generate all ports
for rtr in port_map_global.keys():
src_port_ids_global |= set(port_map_global[rtr].values())
total_length = len(src_port_ids_global)
if args.e == True:
src_port_ids_global = get_end_ports()
new_length = len(src_port_ids_global) * args.percentage / 100
src_port_ids_global = random.sample(src_port_ids_global, new_length)
print "Total Length: %d" % total_length
print "New Length: %d" % new_length
print src_port_ids_global
for port in src_port_ids_global:
port += output_port_addition
dst_port_ids_global.add(port)
#src_port_ids_global = [300013]
#dst_port_ids_global = [320010]
conn.commit()
conn.close()
# Run reachability
start_time = time.time()
pool = Pool()
result = pool.map_async(find_test_packets, src_port_ids_global)
# Close
pool.close()
pool.join()
end_time = time.time()
test_packet_count = result.get()
total_paths = sum(test_packet_count)
print "========== Before Compression ========="
print "Total Paths = %d" % total_paths
print "Average packets per port = %f" % (float(total_paths) /
len(src_port_ids_global))
print "Total Time = %fs" % (end_time - start_time)
#Global Compressing
start_time = time.time()
conn = sqlite3.connect(DATABASE_FILE, 6000)
result_rule_lists = []
query = "SELECT rules FROM %s" % TABLE_TEST_PACKETS_LOCALLY_COMPRESSED
rows = conn.execute(query)
for row in rows:
result_rule_lists.append(row[0].split())
conn.close()
chunk_size = 80000
while (True):
print "Start a new round!"
conn = sqlite3.connect(DATABASE_FILE, 6000)
conn.execute('DROP TABLE IF EXISTS %s' % TABLE_SCRATCHPAD)
conn.execute('CREATE TABLE %s (rules TEXT, no_of_rules INTEGER)' %
TABLE_SCRATCHPAD)
conn.commit()
conn.close()
start_len = len(result_rule_lists)
print start_len
pool = Pool()
no_of_chunks = len(result_rule_lists) / chunk_size + 1
rule_list_chunks = chunks(result_rule_lists, no_of_chunks)
result = pool.map_async(rule_lists_compress, rule_list_chunks)
# Close
pool.close()
pool.join()
result.get()
print "End of this round."
result_rule_lists = read_rule_lists_from_database(TABLE_SCRATCHPAD)
end_len = len(result_rule_lists)
if (float(end_len) / float(start_len) > 0.99):
break
end_time = time.time()
query = "INSERT INTO %s VALUES (?, ?)" % TABLE_TEST_PACKETS_GLOBALLY_COMPRESSED
query2 = "INSERT INTO %s VALUES (?)" % TABLE_RESULT_RULES
total_paths = len(result_rule_lists)
total_length = 0
conn = sqlite3.connect(DATABASE_FILE, 6000)
conn.execute('DROP TABLE IF EXISTS %s' %
TABLE_TEST_PACKETS_GLOBALLY_COMPRESSED)
conn.execute('CREATE TABLE %s (rules TEXT, no_of_rules INTEGER)' %
TABLE_TEST_PACKETS_GLOBALLY_COMPRESSED)
for rule_list in result_rule_lists:
total_length += len(rule_list)
conn.execute(query, (" ".join(rule_list), len(rule_list)))
for rule in rule_list:
conn.execute(query2, (rule, ))
conn.commit()
conn.close()
print "========== After Compression ========="
print "Total Paths = %d" % total_paths
print "Average packets per port = %f" % (float(total_paths) /
len(src_port_ids_global))
print "Average length of rule list = %f" % (float(total_length) /
total_paths)
print "Total Time = %fs" % (end_time - start_time)