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code_root_ctrl_MCTestScen_v4.py
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#!/usr/bin/python
import logging
import unittest
from code_root_ctrl_test_base import BaseRootCtrlTest
class RootCtrlTest(BaseRootCtrlTest):
""" Multi-Controller Test Scenario V4 test
Test Scenarios:
Docs/MCTestScenarios/scen-v4.png
"""
def __init__(self, *args, **kwargs):
super(RootCtrlTest, self).__init__(*args, **kwargs)
self._set_link_capacity(("c1", "s02", 4), ("c2", "s04", 3), 100000000)
self._set_link_capacity(("c1", "s02", 5), ("c2", "s06", 4), 500000000)
self._set_link_capacity(("c1", "s02", 6), ("c4", "s10", 3), 500000000)
self._set_link_capacity(("c1", "s02", 7), ("c5", "s13", 3), 300000000)
self._set_link_capacity(("c2", "s05", 4), ("c3", "s08", 3), 300000000)
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 50M, h2 -> h8 60M
Outcome:
c1 Should swap h1-h8 to s2-s6 which causes the path s7-s9
"""
if show_print:
print("\nTesting scenario 1 (h1->h8 110M | h2-h8 120M)")
# Configure the initial state of the test by running through previous scenarios
self.test_case_00(show_print=False)
# Ingress and egress change modifications received from local controllers for local
# TE optimisation
c1_change = {"cid": "c1", "hkey": ("h1", "h8"), "new_paths": [
{"action": "add", "in": -1, "out": ("s02", 5), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s02", 4), "out_addr": "0."}]
}
c2_change = {"cid": "c2", "hkey": ("h1", "h8"), "new_paths": [
{"action": "add", "in": ("s06", 4), "out": ("s07", 3)},
{"action": "add", "in": ("s04", 3), "out": ("s05", 4)}]
}
c3_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::"}]
}
# Initial expected path instructions for state at start of scenario (default state)
exp_paths = {}
exp_inst = {"c1": {}}
# Perform egress change on C1
self.ctrl._path_info_changed(c1_change)
exp_inst["c1"][("h1", "h8")] = c1_change["new_paths"]
self._check_computed_paths(exp_paths, exp_inst)
# Perform the ingress and egress change at C2
self.ctrl._path_info_changed(c2_change)
exp_paths[("h1", "h8")] = {}
exp_paths[("h1", "h8")]["prim"] = ["h1", "c1", "s02", "s06", "c2", "s07", "s08", "c3", "h8"]
exp_paths[("h1", "h8")]["sec"] = ["h1", "c1", "s02", "s04", "c2", "s05", "s09", "c3", "h8"]
exp_inst["c2"] = {}
exp_inst["c2"][("h1", "h8")] = c2_change["new_paths"]
self._check_computed_paths(exp_paths, exp_inst)
# Perform the ingress change at C3
self.ctrl._path_info_changed(c3_change)
exp_paths[("h1", "h8")] = {}
exp_paths[("h1", "h8")]["prim"] = ["h1", "c1", "s02", "s06", "c2", "s07", "s09", "c3", "h8"]
exp_paths[("h1", "h8")]["sec"] = ["h1", "c1", "s02", "s04", "c2", "s05", "s08", "c3", "h8"]
exp_inst["c3"] = {}
exp_inst["c3"][("h1", "h8")] = c3_change["new_paths"]
self._check_computed_paths(exp_paths, exp_inst)
def test_case_02(self, show_print=True):
""" Scenario 2: h1 -> h8 200M, h2 -> h8 60M
Outcome:
c2 should swap h1-h8 to s5-s8
"""
if show_print:
print("\nTesting scenario 2 (h1->h8 200M | h2-h8 60M)")
# Configure the initial state of the test by running through previous scenarios
self.test_case_01(show_print=False)
# Local controller ingress and egress notifications sent to root controller
c2_change = {"cid": "c2", "hkey": ("h1", "h8"), "new_paths": [
{"action": "add", "in": ("s06", 4), "out": ("s05", 4)},
{"action": "add", "in": ("s04", 3), "out": ("s07", 3)}]
}
c3_change = {"cid": "c3", "hkey": ("h1", "h8"), "new_paths": [
{"action": "add", "in": ("s08", 3), "out": -1, "out_eth": "a::"},
{"action": "add", "in": ("s09", 2), "out": -1, "out_eth": "a::"}]
}
# Expected path and instructions
exp_paths = {
("h1", "h8"): {
"prim": ["h1", "c1", "s02", "s06", "c2", "s05", "s09", "c3", "h8"],
"sec": ["h1", "c1", "s02", "s04", "c2", "s07", "s08", "c3", "h8"]}
}
exp_inst = {
"c1": {
("h1", "h8"): [
{"action": "add", "in": -1, "out": ("s02", 5), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s02", 4), "out_addr": "0."}],
}, "c2": {
("h1", "h8"): [
{"action": "add", "in": ("s06", 4), "out": ("s05", 4)},
{"action": "add", "in": ("s04", 3), "out": ("s07", 3)}],
}, "c3": {
("h1", "h8"): [
{"action": "add", "in": ("s09", 2), "out": -1, "out_eth": "a::"},
{"action": "add", "in": ("s08", 3), "out": -1, "out_eth": "a::"}],
}
}
# Perform the ingress and egress change at C2
self.ctrl._path_info_changed(c2_change)
self._check_computed_paths(exp_paths, exp_inst)
# Perform the ingress change at C3
self.ctrl._path_info_changed(c3_change)
exp_paths[("h1", "h8")]["prim"] = ["h1", "c1", "s02", "s06", "c2", "s05", "s08", "c3", "h8"]
exp_paths[("h1", "h8")]["sec"] = ["h1", "c1", "s02", "s04", "c2", "s07", "s09", "c3", "h8"]
exp_inst["c3"][("h1", "h8")] = c3_change["new_paths"]
self._check_computed_paths(exp_paths, exp_inst)
def test_case_03(self, show_print=True):
""" Scenario 3: h1 -> h8 210M, h2 -> h8 200M
Outcome:
h2-h8 moved to c5 at c1
"""
if show_print:
print("\nTesting scenario 3 (h1->h8 210M | h2-h8 200M)")
# Configure the initial state of the experiment
self.test_case_02(show_print=False)
# Expected paths and instructions from TE optimisation (includes state from previous scenario)
exp_paths = {
("h1", "h8"): {
"prim": ["h1", "c1", "s02", "s06", "c2", "s05", "s08", "c3", "h8"],
"sec": ["h1", "c1", "s02", "s04", "c2", "s07", "s09", "c3", "h8"]},
("h2", "h8"): {
"prim": ["h2", "c1", "s02", "s13", "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", 5), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s02", 4), "out_addr": "0."}],
("h2", "h8"): [
{"action": "add", "in": -1, "out": ("s02", 7), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s02", 4), "out_addr": "0."}]
}, "c2": {
("h1", "h8"): [
{"action": "add", "in": ("s06", 4), "out": ("s05", 4)},
{"action": "add", "in": ("s04", 3), "out": ("s07", 3)}],
("h2", "h8"): [
{"action": "add", "in": ("s04", 3), "out": ("s05", 4)}]
}, "c3": {
("h1", "h8"): [
{"action": "add", "in": ("s08", 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::"}],
}, "c5": {
("h2", "h8"): [
{"action": "add", "in": ("s13", 3), "out": ("s15", 3)}]
}
}
# XXX: Because S2-S4 is constrained to 100M, C2 will only see 100M of
# the 200M H2-H8 host traffic. If the con message uses this correct
# value, TE opti will fail as 100M can move to S7-S9. Normally, C1
# will resolve the congestion on S2-S4, and C2 will resolve the
# congestion on S5-S8, by swapping traffic to S7-S9. Then, C2 will
# detect congestion on S7-S9 and request a root optimisisation.
# This scenario is skips the first step and jumps straight to a
# root test.
# Initiate experiment
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c1", "sw": "s02", "port": 4, "traff_bps": 100000000})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c1", "sw": "s02", "port": 5, "traff_bps": 210000000})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c2", "sw": "s05", "port": 4, "traff_bps": 300000000})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c2", "sw": "s07", "port": 3, "traff_bps": 0})
self.ctrl._action_inter_domain_link_congested(
{"cid": "c2", "sw": "s05", "port": 4, "traff_bps": 310000000,
"te_thresh": 0.90, "paths": [
(("h1", "h8"), 210000000),
(("h2", "h8"), 200000000)
]
}
)
self._check_computed_paths(exp_paths, exp_inst)
def test_case_04(self, show_print=True):
""" Scenario 4: h1 -> h8 400M, h2 -> h8 200M
Outcome:
h1-h8 moved to c4 at c1
"""
if show_print:
print("\nTesting scenario 4 (h1->h8 400M | h2-h8 200M)")
# Configure the initial state of the experiment
self.test_case_03(show_print=False)
# Expected paths and instructions from TE optimisation (includes state from previous scenario)
exp_paths = {
("h1", "h8"): {
"prim": ["h1", "c1", "s02", "s10", "c4", "s12", "s14", "c5", "s15", "s09", "c3", "h8"],
"sec": ["h1", "c1", "s02", "s06", "c2", "s05", "s08", "c3", "h8"]},
("h2", "h8"): {
"prim": ["h2", "c1", "s02", "s13", "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", 5), "out_addr": "0."}],
("h2", "h8"): [
{"action": "add", "in": -1, "out": ("s02", 7), "out_addr": "0."},
{"action": "add", "in": -1, "out": ("s02", 4), "out_addr": "0."}]
}, "c2": {
("h1", "h8"): [
{"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", 3), "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": {
("h1", "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": ("s13", 3), "out": ("s15", 3)}]
}
}
# Initiate experiment
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c1", "sw": "s02", "port": 4, "traff_bps": 0})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c1", "sw": "s02", "port": 5, "traff_bps": 400000000})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c1", "sw": "s02", "port": 7, "traff_bps": 200000000})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c2", "sw": "s05", "port": 4, "traff_bps": 400000000})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c2", "sw": "s07", "port": 3, "traff_bps": 0})
self.ctrl._action_inter_domain_link_traffic(
{"cid": "c5", "sw": "s15", "port": 3, "traff_bps": 200000000})
self.ctrl._action_inter_domain_link_congested(
{"cid": "c2", "sw": "s05", "port": 4, "traff_bps": 400000000,
"te_thresh": 0.90, "paths": [(("h1", "h8"), 400000000)]}
)
self._check_computed_paths(exp_paths, exp_inst)