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device.py
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device.py
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#!/usr/bin/env python
# coding=utf-8
# Copyright (C) 2021. Huawei Technologies Co., Ltd. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE
import os
from dataclasses import dataclass, field
from enum import Enum
from typing import List
import math
import pandas as pd
from log import logger
class ExecutorStatus(Enum):
Preparing = 1
Busy = 2
Free = 3
class DeviceType(Enum):
Cloud = 1
BS = 2
UE = 3
@dataclass(order=True)
class Executor():
sort_index: int = field(init=False, repr=False)
executorId: int
createTime: int
categoryId: int
requestCPU: int
requestMemory: int
prepareDuration: int
status: str = ExecutorStatus.Preparing.name
# 正在执行的taskid
taskid: int = -1
deleteTime: int = -1
# 按照创建时间排序
def __post_init__(self):
self.sort_index = self.createTime
def exec_task(self, taskid):
self.taskid = taskid
self.status = ExecutorStatus.Busy.name
def end_task(self):
self.taskid = -1
self.status = ExecutorStatus.Free.name
@dataclass
class BaseHost():
executors: List[Executor] = field(default_factory=list)
computerFactor: int = -1
rate: int = -1
# 资源容量
cpuCapacity: int = -1
memoryCapacity: int = -1
# 资源余量
cpuMargin: int = -1
memoryMargin: int = -1
def create_exector(self, executor_obj):
if (self.cpuMargin >= executor_obj.requestCPU) and (self.memoryMargin >= executor_obj.requestMemory):
self.cpuMargin -= executor_obj.requestCPU
self.memoryMargin -= executor_obj.requestMemory
self.executors.append(executor_obj)
return True
else:
return False
def delete_executor(self, executor_obj):
self.cpuMargin += executor_obj.requestCPU
self.memoryMargin += executor_obj.requestMemory
self.executors.remove(executor_obj)
logger.debug('delete executor,executorid:{},executor status:{},executor run taskid:{}'. \
format(executor_obj.executorId, executor_obj.status, executor_obj.taskid))
return True
@property
def executorids(self):
return [i.executorId for i in self.executors]
# CPU\Memory容量发生变更
def change_capacity(self, cpu_capacity, memory_capacity):
self.executors.sort(reverse=False)
# 当前Host上已经占用的CPU\Memory
cost_cpu = self.cpuCapacity - self.cpuMargin
cost_memory = self.memoryCapacity - self.memoryMargin
self.cpuCapacity = cpu_capacity
self.memoryCapacity = memory_capacity
# 由于删除Executors导致的Task执行失败
failed_taskids = []
# 删除超载的Executors
while ((self.cpuCapacity < cost_cpu) or (self.memoryCapacity < cost_memory)) \
and (len(self.executors) > 0):
temp_executor = self.executors[0]
self.delete_executor(temp_executor)
cost_cpu -= temp_executor.requestCPU
cost_memory -= temp_executor.requestMemory
if temp_executor.status == ExecutorStatus.Busy.name:
failed_taskids.append(temp_executor.taskid)
# 用新的Capacity更新Margin
self.cpuMargin = self.cpuCapacity - cost_cpu
self.memoryMargin = self.memoryCapacity - cost_memory
return failed_taskids
@dataclass
class Host(BaseHost):
hostId: int = -1
cloudId: int = -1
@dataclass
class BS(BaseHost):
bsId: int = -1
@dataclass
class UE(BaseHost):
ueId: int = -1
bsId: int = -1
onlineTime: int = -1
offlineTime: int = -1
def change_connection(self, bsid, rate):
self.bsId = bsid
self.rate = rate
# ue下线,executor删除,task执行失败
def offline(self):
failed_taskids = []
while len(self.executors) > 0:
temp_executor = self.executors[0]
self.delete_executor(temp_executor)
if temp_executor.status == ExecutorStatus.Busy.name:
failed_taskids.append(temp_executor.taskid)
return failed_taskids
# 计算数据传输时延
def calc_trans_duration(src_devicetype, src_deviceid, tgt_devicetype, tgt_deviceid, trans_starttime, trans_size,
cloud_df, host_df, bs_df, ue_metric_df):
trans_duration = 0
if src_devicetype == tgt_devicetype and src_deviceid == tgt_deviceid:
return trans_duration
devicetype_s = {src_devicetype, tgt_devicetype}
# Cloud-Cloud
if len(devicetype_s ^ {DeviceType.Cloud.name}) == 0:
if host_df.loc[src_deviceid, 'CloudId'] != host_df.loc[tgt_deviceid, 'CloudId']:
trans_duration = math.ceil(trans_size / int(min(
cloud_df.loc[
[host_df.loc[src_deviceid, 'CloudId'], host_df.loc[tgt_deviceid, 'CloudId']], 'Rate'].values)))
return trans_duration
# Cloud-BS
if len(devicetype_s ^ {DeviceType.Cloud.name, DeviceType.BS.name}) == 0:
if src_devicetype == DeviceType.BS.name:
bs_rate = int(bs_df.loc[src_deviceid, 'Rate'])
else:
bs_rate = int(bs_df.loc[tgt_deviceid, 'Rate'])
trans_duration = math.ceil(trans_size / bs_rate)
return trans_duration
# Cloud-UE
if len(devicetype_s ^ {DeviceType.Cloud.name, DeviceType.UE.name}) == 0:
if src_devicetype == DeviceType.UE.name:
ue_id = src_deviceid
else:
ue_id = tgt_deviceid
try:
while trans_size > 0:
trans_size -= int(ue_metric_df.loc[(ue_id, trans_starttime % 1200), 'Rate'])
trans_starttime += 1
trans_duration += 1
# 传输过程中UE下线
except KeyError as e:
trans_duration = -1
return trans_duration
# BS-BS
if len(devicetype_s ^ {DeviceType.BS.name}) == 0:
bs_rate = int(min(bs_df.loc[[src_deviceid, tgt_deviceid], 'Rate'].values))
trans_duration = math.ceil(trans_size / bs_rate)
return trans_duration
# BS-UE
if len(devicetype_s ^ {DeviceType.BS.name, DeviceType.UE.name}) == 0:
if src_devicetype == DeviceType.UE.name:
ue_id = src_deviceid
else:
ue_id = tgt_deviceid
try:
while trans_size > 0:
trans_size -= int(ue_metric_df.loc[(ue_id, trans_starttime % 1200), 'Rate'])
trans_starttime += 1
trans_duration += 1
# 传输过程中UE下线
except KeyError as e:
trans_duration = -1
return trans_duration
# UE-UE
if len(devicetype_s ^ {DeviceType.UE.name}) == 0:
try:
while trans_size > 0:
trans_size -= int(
min(ue_metric_df.loc[[(src_deviceid, trans_starttime % 1200),
(tgt_deviceid, trans_starttime % 1200)], 'Rate'].values))
trans_starttime += 1
trans_duration += 1
# 传输过程中UE下线
except KeyError as e:
trans_duration = -1
return trans_duration
# T时刻UE向邻近的BS传输datasize的数据。返回bsid和传输时长
def ue_connect_bs(ueid, trans_starttime, trans_size, ue_metric_df):
trans_duration = 0
try:
bsid = ue_metric_df.loc[(ueid, trans_starttime % 1200), 'BSId']
while trans_size > 0:
trans_size -= int(ue_metric_df.loc[(ueid, trans_starttime % 1200), 'Rate'])
trans_starttime += 1
trans_duration += 1
except KeyError as e:
bsid = -1
trans_duration = -1
return bsid, trans_duration