def check_update_before_writing(self, update, tm):
old_flows = []
new_flows = []
for old_flow, new_flow in itertools.izip(update.old_flows,
update.new_flows):
vol = tm[old_flow.src][old_flow.dst]
reversed_vol = tm[old_flow.dst][old_flow.src]
old_flow_1 = GenSingleFlow(len(old_flows), old_flow.src,
old_flow.dst, vol, old_flow.update_type)
old_flow_1.path = old_flow.path
old_flows.append(old_flow_1)
old_flow_2 = GenSingleFlow(len(old_flows), old_flow.dst,
old_flow.src, reversed_vol,
old_flow.update_type)
old_flow_2.path = list(reversed(old_flow.path))
old_flows.append(old_flow_2)
new_flow_1 = GenSingleFlow(len(new_flows), new_flow.src,
new_flow.dst, vol, new_flow.update_type)
new_flow_1.path = new_flow.path
new_flows.append(new_flow_1)
new_flow_2 = GenSingleFlow(len(new_flows), new_flow.dst,
new_flow.src, reversed_vol,
new_flow.update_type)
new_flow_2.path = list(reversed(new_flow.path))
new_flows.append(new_flow_2)
return not ez_flow_tool.has_deadlock(old_flows, new_flows)
def read_flows(self, flow_file, checking_deadlock=False):
flow_reader = open(flow_file, 'r')
old_caps = {}
new_caps = {}
old_flows = []
new_flows = []
line = flow_reader.readline()
statistic_line = None
has_statistic_line = self.has_statistic_info(line)
if has_statistic_line:
statistic_line = copy(line)
line = flow_reader.readline()
while line:
strs = line.strip('\n').split("\t")
if len(strs) <= 1:
continue
end_points = strs[0].strip('(').strip(')').split(',')
src, dst = (int(end_points[0]), int(end_points[1]))
old_vol = float(strs[1])
old_flow = GenSingleFlow(len(old_flows), src, dst, old_vol)
path_items = strs[2].strip('[').strip(']').split(',')
if path_items[0] == '':
old_flow.path = []
else:
for item in path_items:
old_flow.path.append(int(item))
old_flows.append(old_flow)
new_vol = float(strs[3])
new_flow = GenSingleFlow(len(new_flows), src, dst, new_vol)
path_items = strs[4].strip('[').strip(']').split(',')
if path_items[0] == '':
new_flow.path = []
else:
for item in path_items:
new_flow.path.append(int(item))
new_flows.append(new_flow)
line = flow_reader.readline()
flow_reader.close()
if checking_deadlock and ez_flow_tool.has_deadlock(
old_flows, new_flows):
return NetworkUpdate([], [])
update = NetworkUpdate(old_flows, new_flows)
if statistic_line:
update.set_statistic_info_from_string(statistic_line)
return update
def generate_one_state_from_old(self, topo, tm, flow_cnt, old_flows):
src_dst_queue = deque(deepcopy(self.pairs))
link_caps = defaultdict()
flows = defaultdict()
empty_path_count = 0
for (src, dst) in old_flows.keys():
flow = deepcopy(old_flows[(src, dst)])
flow.vol = self.compute_new_vol(flow.vol)
flow.reversed_vol = self.compute_new_vol(flow.reversed_vol)
src_dst_queue.remove(
FlowSrcDst(src, dst, tm[src][dst], tm[dst][src]))
is_old_no_path = (flow.path == [])
flow.path = []
self.path_generator.attempts = len(topo.edge_switches())
flow.path = self.path_generator.generate_path(
topo, flow, link_caps)
if flow.path or (not flow.path and not is_old_no_path):
if not flow.path and not is_old_no_path:
flow.update_type = constants.REMOVING_FLOW
flows[(src, dst)] = flow
elif not flow.path and is_old_no_path:
old_flows.pop((src, dst))
if not flow.path:
empty_path_count += 1
while len(src_dst_queue) > 0 and empty_path_count > 0:
flow_src_dst = src_dst_queue.popleft()
src = flow_src_dst.lt_id
dst = flow_src_dst.gt_id
vol = flow_src_dst.vol
flow = GenSingleFlow(len(flows),
src,
dst,
vol,
update_type=constants.ADDING_FLOW,
reversed_vol=flow_src_dst.reversed_vol)
self.generate_middleboxes(topo, flow)
self.path_generator.attempts = len(topo.edge_switches())
flow.path = self.path_generator.generate_path(
topo, flow, link_caps)
if flow.path:
old_flow = GenSingleFlow(
len(flows),
src,
dst,
vol,
reversed_vol=flow_src_dst.reversed_vol)
flows[(src, dst)] = flow
old_flows[(src, dst)] = old_flow
empty_path_count -= 1
return flows, link_caps
def generate_one_state(self, topo, tm, flow_cnt):
src_dst_queue = deque(deepcopy(self.pairs))
# src_dst_gen = self.random_src_dst_gen(topo.edge_switches())
link_caps = defaultdict()
flows = defaultdict()
while len(src_dst_queue) > 0 and len(flows) < flow_cnt:
flow_src_dst = src_dst_queue.pop()
src = flow_src_dst.lt_id
dst = flow_src_dst.gt_id
vol = flow_src_dst.vol
while len(src_dst_queue) > 0 and (
flows.has_key((src, dst)) or tm[src][dst] == 0
or not self.path_generator.check_eligible_src_dst(
topo, link_caps, src, dst, tm[src][dst],
tm[dst][src])):
flow_src_dst = src_dst_queue.popleft()
src = flow_src_dst.lt_id
dst = flow_src_dst.gt_id
vol = flow_src_dst.vol
flow = GenSingleFlow(len(flows),
src,
dst,
vol,
update_type=constants.ADDING_FLOW,
reversed_vol=flow_src_dst.reversed_vol)
# self.generate_middleboxes(topo, flow)
self.path_generator.attempts = len(topo.edge_switches())
flow.path = self.path_generator.generate_path(
topo, flow, link_caps)
if not flow.path:
continue
# flow.vol = tm[src][dst]
flows[(src, dst)] = flow
# reversed_flow = Flow(len(flows), dst, src, tm[dst][src])
# reversed_flow.path = list(reversed(flow.path))
# flows[(dst, src)] = reversed_flow
return flows, link_caps
def generate_flows(self, topo, old_tm, flow_cnt):
debug = self.log.debug
third_sws = defaultdict()
flows_by_link = defaultdict(set)
old_flows, old_link_caps = self.create_old_flows(
topo, old_tm, flow_cnt, third_sws, flows_by_link)
if len(flows_by_link.keys()) == 0:
return [], []
failed_ids = self.generate_failed_edges_by_percentage(
flows_by_link, self.failure_rate, flow_cnt)
new_topo = deepcopy(topo)
for i, j in failed_ids:
new_topo.graph.remove_edge(i, j)
new_link_caps = defaultdict()
new_flows = defaultdict()
changed_paths = defaultdict()
bad_pairs = defaultdict()
for (src, dst) in old_flows.keys():
old_flow = old_flows[(src, dst)]
new_flow = GenSingleFlow(old_flow.flow_id, src, dst,
self.compute_new_vol(old_flow.vol))
if not self.is_affected_link(failed_ids, flows_by_link,
(src, dst)):
new_flow.path = old_flow.path
if self.path_generator.check_capacity(new_topo, new_flow.path,
new_link_caps,
new_flow.vol):
self.path_generator.allocate_link_cap(
new_flow.path, new_link_caps, new_flow.vol,
new_flow.reversed_vol)
else:
self.set_back_to_old_flow(new_flow, old_flow,
new_link_caps)
else:
changed = self.try_generate_new_path(new_topo, new_flow,
old_flow, new_link_caps,
third_sws)
if changed:
changed_paths[(src, dst)] = True
else:
bad_pairs[(src, dst)] = True
new_flows[(src, dst)] = new_flow
if len(changed_paths) < self.failure_rate * flow_cnt:
for (src, dst) in old_flows.keys():
if (src, dst) not in changed_paths.keys() and (
src, dst) not in bad_pairs.keys():
new_flow = new_flows[(src, dst)]
old_flow = old_flows[(src, dst)]
changed = self.try_generate_new_path(new_topo, new_flow, old_flow, new_link_caps,\
third_sws)
if changed:
changed_paths[(src, dst)] = True
if len(changed_paths) == self.failure_rate * flow_cnt:
break
return self.return_flows(old_flows, new_flows, old_link_caps,
new_link_caps)