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code_root_ctrl_MCTestScen_v2.py
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code_root_ctrl_MCTestScen_v2.py
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#!/usr/bin/python
import logging
import unittest
from code_root_ctrl_test_base import BaseRootCtrlTest, p_to_bit
class RootCtrlTest(BaseRootCtrlTest):
""" Multi-Controller Test Scenario V2 test
Test Scenarios:
Docs/MCTestScenarios/scen-v2.png
"""
def __init__(self, *args, **kwargs):
super(RootCtrlTest, self).__init__(*args, **kwargs)
self._set_link_capacity(("c2", "s05", 4), ("c3", "s08", 3), 200000000)
self._set_link_capacity(("c2", "s07", 3), ("c3", "s09", 2), 200000000)
def test_case_00(self, show_print=True):
""" Compute and validate inter-domain paths """
if show_print:
print("\nTesting inter-domain path computation")
self.ctrl._compute_inter_domain_paths()
self._check_computed_paths()
def test_case_01(self, show_print=True):
""" Scenario 1: h1 -> h8 110M, h2 -> h8 120M
Outcome:
C2 should swap h1-h8 to s7-s9
"""
if show_print:
print("\nTesting scenario 1 (h1->h8 110M | h2-h8 120M)")
# Configure the initial state of the experiment
self.test_case_00(show_print=False)
c2_egg_change = {"cid": "c2", "hkey": ("h1", "h8"), "new_paths": [
{"action": "add", "in": ("s04", 3), "out": ("s07", 3)},
{"action": "add", "in": ("s06", 4), "out": ("s05", 4)}]
}
c3_ing_change = {"cid": "c3", "hkey": ("h1", "h8"), "new_paths": [
{"action": "add", "in": ("s09", 2), "out": -1, "out_eth": "a::"},
{"action": "add", "in": ("s08", 3), "out": -1, "out_eth": "a::"}]
}
exp_paths = {("h1", "h8"): {}}
exp_inst = {"c2": {}}
# Perform egress change C2 and check results are correct
self.ctrl._path_info_changed(c2_egg_change)
exp_paths[("h1", "h8")]["prim"] = ["h1", "c1", "s02", "s04", "c2", "s07", "s08", "c3", "h8"]
exp_paths[("h1", "h8")]["sec"] = ["h1", "c1", "s02", "s06", "c2", "s05", "s09", "c3", "h8"]
exp_inst["c2"][("h1", "h8")] = c2_egg_change["new_paths"]
self._check_computed_paths(exp_paths, exp_inst)
# Perform the ingress change at c3 and check results
self.ctrl._path_info_changed(c3_ing_change)
exp_paths[("h1", "h8")]["prim"] = ["h1", "c1", "s02", "s04", "c2", "s07", "s09", "c3", "h8"]
exp_paths[("h1", "h8")]["sec"] = ["h1", "c1", "s02", "s06", "c2", "s05", "s08", "c3", "h8"]
exp_inst["c3"] = {}
exp_inst["c3"][("h1", "h8")] = c3_ing_change["new_paths"]
self._check_computed_paths(exp_paths, exp_inst)
def test_case_02(self, show_print=True):
""" Scenario 2: h1 -> h8 110M, h2 -> h8 400M
Outcome:
h2-h8 moved to c4 at c1
"""
if show_print:
print("\nTesting scenario 2 (h1->h8 110M | h2-h8 400M)")
# Configure the initial state of the experiment
self.test_case_01(show_print=False)
# Prime the topology with TE information (including congestion)
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c1", "sw": "s02", "port": 4, "traff_bps": 510000000})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c2", "sw": "s05", "port": 4, "traff_bps": 200000000})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c2", "sw": "s07", "port": 3, "traff_bps": 110000000})
self.ctrl._action_inter_domain_link_congested(
{"cid": "c2", "sw": "s05", "port": 4, "traff_bps": 400000000,
"te_thresh": 0.90, "paths": [(("h2", "h8"), 400000000)]}
)
exp_paths = {
("h1", "h8"): {
"prim": ["h1", "c1", "s02", "s04", "c2", "s07", "s09", "c3", "h8"],
"sec": ["h1", "c1", "s02", "s06", "c2", "s05", "s08", "c3", "h8"]},
("h2", "h8"): {
"prim": ["h2", "c1", "s02", "s10", "c4", "s12", "s14", "c5", "s15", "s09", "c3", "h8"],
"sec": ["h2", "c1", "s02", "s04", "c2", "s05", "s08", "c3", "h8"]}
}
exp_inst = {
"c1": {
("h1", "h8"): [
{"action": "add", "in": -1, "out": ("s02", 4), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s02", 5), "out_addr": "0."}],
("h2", "h8"): [
{"action": "add", "in": -1, "out": ("s02", 6), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s02", 4), "out_addr": "0."}],
}, "c2": {
("h1", "h8"): [
{"action": "add", "in": ("s04", 3), "out": ("s07", 3)},
{"action": "add", "in": ("s06", 4), "out": ("s05", 4)}],
("h2", "h8"): [
{"action": "add", "in": ("s04", 3), "out": ("s05", 4)}],
}, "c3": {
("h1", "h8"): [
{"action": "add", "in": ("s09", 2), "out": -1, "out_eth": "a::"},
{"action": "add", "in": ("s08", 3), "out": -1, "out_eth": "a::"}],
("h2", "h8"): [
{"action": "add", "in": ("s09", 3), "out": -1, "out_eth": "a::"},
{"action": "add", "in": ("s08", 3), "out": -1, "out_eth": "a::"}],
}, "c4": {
("h2", "h8"): [
{"action": "add", "in": ("s10", 3), "out": ("s12", 3)}],
}, "c5": {
("h2", "h8"): [
{"action": "add", "in": ("s14", 3), "out": ("s15", 3)}],
}
}
self._check_computed_paths(exp_paths, exp_inst)
def test_case_03(self, show_print=True):
""" Scenario 3: h1 -> h8 400M, h2 -> h8 400M
Outcome:
h1-h8 moved to c4 at c1
"""
if show_print:
print("\nTesting scenario 3 (h1->h8 400M | h2-h8 400M)")
# Configure the initial state of the experiment
self.test_case_02(show_print=False)
# Initiate experiment
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c1", "sw": "s02", "port": 4, "traff_bps": 400000000})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c1", "sw": "s02", "port": 6, "traff_bps": 400000000})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c2", "sw": "s05", "port": 4, "traff_bps": 0})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c2", "sw": "s07", "port": 3, "traff_bps": 200000000})
self.ctrl._action_inter_domain_link_congested(
{"cid": "c2", "sw": "s07", "port": 3, "traff_bps": 400000000,
"te_thresh": 0.90, "paths": [(("h1", "h8"), 400000000)]}
)
exp_paths = {
("h1", "h8"): {
"prim": ["h1", "c1", "s02", "s10", "c4", "s12", "s14", "c5", "s15", "s09", "c3", "h8"],
"sec": ["h1", "c1", "s02", "s04", "c2", "s07", "s09", "c3", "h8"]},
("h2", "h8"): {
"prim": ["h2", "c1", "s02", "s10", "c4", "s12", "s14", "c5", "s15", "s09", "c3", "h8"],
"sec": ["h2", "c1", "s02", "s04", "c2", "s05", "s08", "c3", "h8"]}
}
exp_inst = {
"c1": {
("h1", "h8"): [
{"action": "add", "in": -1, "out": ("s02", 6), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s02", 4), "out_addr": "0."}],
("h2", "h8"): [
{"action": "add", "in": -1, "out": ("s02", 6), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s02", 4), "out_addr": "0."}],
("h8", "h1"): [
{"action": "add", "in": ("s02", 4), "out": -1, "out_eth": "a::"},
{"action": "add", "in": ("s02", 5), "out": -1, "out_eth": "a::"}],
("h8", "h2"): [
{"action": "add", "in": ("s02", 4), "out": -1, "out_eth": "a::"},
{"action": "add", "in": ("s02", 5), "out": -1, "out_eth": "a::"}]
}, "c2": {
("h1", "h8"): [
{"action": "add", "in": ("s04", 3), "out": ("s07", 3)}],
("h2", "h8"): [
{"action": "add", "in": ("s04", 3), "out": ("s05", 4)}],
("h8", "h1"): [
{"action": "add", "in": ("s05", 4), "out": ("s04", 3)},
{"action": "add", "in": ("s07", 3), "out": ("s06", 4)}],
("h8", "h2"): [
{"action": "add", "in": ("s05", 4), "out": ("s04", 3)},
{"action": "add", "in": ("s07", 3), "out": ("s06", 4)}],
}, "c3": {
("h1", "h8"): [
{"action": "add", "in": ("s09", 3), "out": -1, "out_eth": "a::"},
{"action": "add", "in": ("s09", 2), "out": -1, "out_eth": "a::"}],
("h2", "h8"): [
{"action": "add", "in": ("s09", 3), "out": -1, "out_eth": "a::"},
{"action": "add", "in": ("s08", 3), "out": -1, "out_eth": "a::"}],
("h8", "h1"): [
{"action": "add", "in": -1, "out": ("s08", 3), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s09", 2), "out_addr": "0."}],
("h8", "h2"): [
{"action": "add", "in": -1, "out": ("s08", 3), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s09", 2), "out_addr": "0."}],
}, "c4": {
("h1", "h8"): [
{"action": "add", "in": ("s10", 3), "out": ("s12", 3)}],
("h2", "h8"): [
{"action": "add", "in": ("s10", 3), "out": ("s12", 3)}],
}, "c5": {
("h1", "h8"): [
{"action": "add", "in": ("s14", 3), "out": ("s15", 3)}],
("h2", "h8"): [
{"action": "add", "in": ("s14", 3), "out": ("s15", 3)}],
}
}
self._check_computed_paths(exp_paths, exp_inst)
def test_case_04(self, show_print=True):
""" Scenario 4: h1 -> h8 400M, h2 -> h8 400M
NOTE: This is a clean slate scenario that does not build off of
scenario 1-3 state. This scenario starts at scenario 0 and checks
the behaivour of the candidate filtering.
Outcome:
No path changes should occur for the 3 checks while the last
should trigger a TE optimisation as a host-pair is over-using
the port and the adjusted usage is above the te-threshold.
"""
if show_print:
print("\nTesting scenario 4 (candidate usage checks)")
# Configure the initial state of the experiment (no TE optimisation)
self.test_case_00(show_print=False)
# XXX: No NEED TO SPECIFY FAKE TRAFFIC ON LINKS AS WE ARE TESTING
# WITH FAKE MESSAGES TO SEE BEHAIVOUR
#
# Initiate experiment and make sure no changes occur
#self.ctrl._action_inter_domain_link_traffic(
# {"cid": "c1", "sw": "s02", "port": 4, "traff_bps": 110000000})
#self.ctrl._action_inter_domain_link_traffic(
# {"cid": "c1", "sw": "s02", "port": 6, "traff_bps": 80000000})
#self.ctrl._action_inter_domain_link_traffic(
# {"cid": "c2", "sw": "s05", "port": 4, "traff_bps": 0})
#self.ctrl._action_inter_domain_link_traffic(
# {"cid": "c2", "sw": "s07", "port": 3, "traff_bps": 110000000})
# Check that all host pairs have been removed
if show_print:
print("\tTesting - No pair uses port")
self.ctrl._action_inter_domain_link_congested(
{"cid": "c2", "sw": "s07", "port": 3, "traff_bps": 600000000,
"te_thresh": 0.90, "paths": [
(("h1", "h8"), 200000000),
(("h2", "h8"), 200000000),
(("h8", "h1"), 200000000)
]
}
)
self._check_computed_paths()
# Check that TE-Thresh is correctly adjusted
if show_print:
print("\tTesting - Congestion under threshold (remove lowest usage pair)")
self.ctrl._action_inter_domain_link_congested(
{"cid": "c1", "sw": "s02", "port": 4, "traff_bps": 1000000000,
"te_thresh": 0.90, "paths": [
(("h1", "h8"), 600000000),
(("h8", "h1"), 400000000)
]
}
)
self._check_computed_paths()
# Check that TE-thresh is adjusted before optimisation
if show_print:
print("\tTesting - Congestion under threshold (remove highest usage pair)")
self.ctrl._action_inter_domain_link_congested(
{"cid": "c1", "sw": "s02", "port": 4, "traff_bps": 1300000000,
"te_thresh": 0.90, "paths": [
(("h1", "h8"), 600000000),
(("h8", "h1"), 700000000)
]
}
)
self._check_computed_paths()
# Ensure that we still optimise after adjustment
exp_paths = {
("h1", "h8"): {
"prim": ["h1", "c1", "s02", "s10", "c4", "s12", "s14", "c5", "s15", "s09", "c3", "h8"],
"sec": ["h1", "c1", "s02", "s04", "c2", "s05", "s08", "c3", "h8"]},
}
exp_inst = {
"c1": {
("h1", "h8"): [
{"action": "add", "in": -1, "out": ("s02", 6), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s02", 4), "out_addr": "0."}],
}, "c2": {
("h1", "h8"): [
{"action": "add", "in": ("s04", 3), "out": ("s05", 4)}],
}, "c3": {
("h1", "h8"): [
{"action": "add", "in": ("s09", 3), "out": -1, "out_eth": "a::"},
{"action": "add", "in": ("s08", 3), "out": -1, "out_eth": "a::"}]
}, "c4": {
("h1", "h8"): [
{"action": "add", "in": ("s10", 3), "out": ("s12", 3)}],
}, "c5": {
("h1", "h8"): [
{"action": "add", "in": ("s14", 3), "out": ("s15", 3)}],
}
}
if show_print:
print("\tTesting - Optimise after filter if usage > te-thresh")
self.ctrl._action_inter_domain_link_congested(
{"cid": "c2", "sw": "s05", "port": 4, "traff_bps": 1080000000,
"te_thresh": 0.90, "paths": [
(("h8", "h2"), 480000000),
(("h1", "h8"), 200000000),
(("h8", "h1"), 400000000)
]
}
)
self._check_computed_paths(exp_paths, exp_inst)
if __name__ == "__main__":
dummy = DummyRootCtrl()
dummy.start()
dummy.stop()