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settings.py
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settings.py
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import numpy as np
RNG = np.random.default_rng(seed=0) # Random Number Generator
"""The following two parameters were altered in the different experiments"""
FOG_DCS = 0
FOG_IDLE_SHUTDOWN = False
# TODO Logging
"""Simulation duration and intervals in simulated seconds"""
SIMULATION_TIME = 3600 * 24
UPDATE_MOBILITY_INTERVAL = 1
POWER_MEASUREMENT_INTERVAL = 1
UPDATE_WIFI_CONNECTIONS_INTERVAL = 60
"""City scenario parameters"""
STREETS_PER_AXIS = 4
BLOCK_SIZE_WIDTH = 274 # Manhattan
BLOCK_SIZE_HEIGHT = 80 # Manhattan
CITY_WIDTH = (STREETS_PER_AXIS + 1) * BLOCK_SIZE_WIDTH
CITY_HEIGHT = (STREETS_PER_AXIS + 1) * BLOCK_SIZE_HEIGHT
"""Taxi generation rate and speed distribution according to 2015 DEBS Grand Challenge dataset"""
MAX_CARS_PER_MINUTE = 75 # This parameter can be adapted to scale the simulation
TAXI_COUNT_DISTRIBUTION = [0.7061738625112995, 0.7029400370194998, 0.7053398476174078, 0.7111026214971374, 0.7048663423873273, 0.7015787094830184, 0.7053183246524041, 0.6968651801472171, 0.6924744952864706, 0.6902414876673411, 0.6890953897808962, 0.6827730188110714, 0.6834402307261849, 0.672259050406784, 0.6702574146614437, 0.6693265464250355, 0.6647582971030089, 0.6589901424820284, 0.6571391674917136, 0.6553473806551591, 0.6474592139813181, 0.6434505617493866, 0.6423421290516982, 0.638753174637338, 0.6380052516034609, 0.6276580861779518, 0.623670956911024, 0.6259362489776592, 0.6209106366493048, 0.6199959106366493, 0.6154922302096337, 0.6130978003529767, 0.6063987774955878, 0.6052365373853902, 0.6013516422022298, 0.5962668417201153, 0.5947548534286083, 0.5912681330980156, 0.5874101416211097, 0.5857421118333261, 0.586199474839654, 0.5807487839524773, 0.5804474624424261, 0.5783543540958203, 0.5726507683698506, 0.5721180749860101, 0.5678403856915328, 0.5644558994447075, 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"""Compute nodes"""
FOG_CU = 400000 # CUs are equivalent to MIPS (million instructions per second) in this experiment
FOG_MAX_POWER = 240
FOG_STATIC_POWER = 100
FOG_UTILIZATION_THRESHOLD = 0.85
CLOUD_CU = np.inf
CLOUD_WATT_PER_CU = 700e-6
"""Network (Latency is only used for determining shortest paths in the routing)"""
WAN_BANDWIDTH = np.inf
WAN_LATENCY = 100
WAN_WATT_PER_BIT_UP = 6658e-9
WAN_WATT_PER_BIT_DOWN = 20572e-9
WIFI_BANDWIDTH = 1.6e9
WIFI_LATENCY = 10
WIFI_TAXI_TO_TL_WATT_PER_BIT = 300e-9
WIFI_TL_TO_TL_WATT_PER_BIT = 100e-9
WIFI_RANGE = 300 # e.g. Cisco Aironet 1570 Series
ETHERNET_BANDWIDTH = 1e9
ETHERNET_LATENCY = 1
ETHERNET_WATT_PER_BIT = 0
"""Applications"""
CCTV_PROCESSOR_CU = 30000
CCTV_SOURCE_TO_PROCESSOR_BIT_RATE = 10e6
CCTV_PROCESSOR_TO_SINK_BIT_RATE = 200e3
V2I_PROCESSOR_CU = 7000
V2I_SOURCE_TO_PROCESSOR_BIT_RATE = 100e3
V2I_PROCESSOR_TO_SINK_BIT_RATE = 50e3