EdgeComputingModel.py

'''
边缘服务器的class 和 边缘计算业务的class
'''

import random

'''
边缘计算服务器
'''
class Server:
    def __init__(self, name):
        self.name = name
        self.load = random.uniform(200, 1300)
        self.cyclePerSec = 500

    def randomLoad(self):
        self.load = random.uniform(200, 1300)

    def display(self):
        print('[node:' + str(self.name) + ', load:' + str(self.load) + ', cyclePerSec:' + str(self.cyclePerSec) + ']')

    def computingServerState(self):
        return float(self.load)/float(self.cyclePerSec)

'''
边缘计算任务
'''
class ComputingTask:
    def __init__(self, accessNode):
        self.cycles = 50 #random.randint(10, 80)  # 需要的计算量(cycles)
        self.bitNum = 40 #random.randint(80, 180)  # 传输数据量(bit)
        self.maxTime = 2.5 #random.uniform(1.5, 2.5)  # 可接受的最大时延（s）
        self.accessNode = int(accessNode)  # 接入节点
        self.delayTime = 0  # 保存存储时间

    def taskDataNormalization(self):
        return [float(self.cycles)/55.0, float(self.bitNum)/60.0, self.maxTime/6.0]

    def display(self):
        print("computingTask:"
              + '[cycles:' + str(self.cycles)
              + ', bitNum:' + str(self.bitNum)
              + ', maxTime:' + str(self.maxTime)
              + ', accessNode:' + str(self.accessNode)
              + ', delayTime:' + str(self.delayTime) + ']')