本文整理汇总了Python中service.Service.fromSla方法的典型用法代码示例。如果您正苦于以下问题：Python Service.fromSla方法的具体用法？Python Service.fromSla怎么用？Python Service.fromSla使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类service.Service的用法示例。
在下文中一共展示了Service.fromSla方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: do_simu
# 需要导入模块: from service import Service [as 别名]
# 或者: from service.Service import fromSla [as 别名]
def do_simu(**kwargs):
'''
:param relax_vhg: True|False : do we add vhg?
:param relax_vcdn: True|False: do we add vcdn?
:param seed: what is the random seed
:param sla_count: how many sla to generate?
:param rejected_threshold: stop after X rejection
:param iteration_threshold: stop after Y iteration
:param smart_ass: use heuristics to groups S to VHG and vCDN to VHG
:param sorted: use sorted SLA
:return: a list containing each step results
'''
count_transformation = 0
result = []
cost_function = []
rejected = 0
rs = np.random.RandomState(seed=kwargs["seed"])
su = substrate.get_substrate(rs)
# su=Substrate.fromSpec(5,5,10**10,1,100)
su.cpuCost = kwargs["cpuCost"]
su.netCost = kwargs["netCost"]
# su=Substrate.fromSpec(5,5,8**9,30,50)
su.write()
if "sorted" in kwargs and kwargs["sorted"] == True:
slas = sorted(generate_random_slas(rs, su, kwargs["sla_count"]), key=lambda x: -x.bandwidth)
else:
slas = generate_random_slas(rs, su, kwargs["sla_count"])
result.append(ResultItem(deepcopy(su), 0, 0, None, None))
relax_vhg = kwargs["relax_vhg"]
relax_vcdn = kwargs["relax_vcdn"]
while (kwargs["rejected_threshold"] > 0 and rejected < kwargs["rejected_threshold"]) or (
kwargs["iteration_threshold"] > 0 and (
kwargs["sla_count"] - len(slas) < kwargs["iteration_threshold"])):
best_objective_function = None
best_mapping = None
count_transformation_loop = 0
sla = slas.pop()
service = Service.fromSla(sla)
service.spvhg = kwargs["smart_ass"]
mapping = None
mapping_res = []
if relax_vhg:
vhg_max = len(service.start)
else:
vhg_max = 1
if relax_vcdn:
if relax_vhg:
vcdn_max = vhg_max
else:
vcdn_max = len(service.start)
else:
vcdn_max = 1
# run this algo until relaxation is over
for vhg_count in range(1, vhg_max + 1):
for vcdn_count in range(1, vcdn_max + 1):
service.vcdncount = vcdn_count
service.vhgcount = vhg_count
logging.debug(
"solving for vhg=%d vcdn=%d start=%d" % (service.vhgcount, service.vcdncount, len(service.start)))
mapping = solve(service, su, smart_ass=kwargs["smart_ass"])
if mapping is not None:
mapping_res.append((deepcopy(service), deepcopy(mapping)))
accepted_slas = kwargs["sla_count"] - len(slas) - rejected
if len(mapping_res) == 0:
rejected += 1
result.append(ResultItem(deepcopy(su), accepted_slas, float(accepted_slas) / (accepted_slas + rejected),
deepcopy(service), None))
sys.stdout.write("X")
continue
else:
mapping_res = sorted(mapping_res, key=lambda x: x[1].objective_function)
for mres in mapping_res:
logging.debug(
"key: %s, %ld" % (str(mres[0].vhgcount) + " " + str(mres[0].vcdncount), mres[1].objective_function))
service = mapping_res[0][0]
mapping = mapping_res[0][1]
logging.debug("winner has %d %d" % (service.vhgcount, service.vcdncount))
# logging.debug( "winner has %d\t%d" % (service.vhgcount,service.vcdncount))
su.consume_service(service, mapping)
su.write()
result.append(
ResultItem(deepcopy(su), accepted_slas, float(accepted_slas) / (accepted_slas + rejected),
deepcopy(service), deepcopy(mapping)))
sys.stdout.write("O")
sys.stdout.flush()
#.........这里部分代码省略.........