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Schedulers.py
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# -*- coding: utf-8 -*-
# @Author : ZhaoKe
# @Time : 2021-03-20 9:12
import numpy as np
from matplotlib import pyplot as plt
from DPSOTaskScheduling import DPSO
from HPRPSOScheduler import HPRPSO
from SAScheduler import SAScheduler
from GAScheduler import GAScheduler
from ACScheduler import ACScheduler
from utils.dataExamples import get_data_r2n4c18
# def print2csv(ind: int):
# # 打印节点信息
# data = get_data(ind)["nodes"]
# print("#第", ind, "组实验")
# print("节点资源信息")
# for it in range(len(data)):
# print(data[it].cpu_supply, ',', data[it].cpu_velocity, ',', data[it].mem_supply, ',',
# data[it].mem_capacity)
# # 打印任务信息
# print("任务请求信息")
# data = get_data(ind)["cloudlets"]
# for it in range(len(data)):
# print(data[it].cpu_demand, ',', data[it].mem_demand)
# def read_plot():
# data = np.loadtxt("imgr2/result-0409-r2n3c12-1/generation0.txt")
# L = data.shape[1]
# ax = plt.figure(0)
# for y in data:
# plt.plot(range(L), y)
# ax.legend(["HPRPSO", "DPSO", "SA", "ACO", "GA"], bbox_to_anchor=(1.01, 0.88), loc=2, borderaxespad=0)
# plt.subplots_adjust(right=1)
# plt.savefig('imgr2/test-3.png', dpi=300,
# format='png', bbox_inches='tight') # bbox_inches="tight"解决X轴时间两个字不被保存的问题
# # plt.show()
#
# 获取不同数据集的不同具体数据
def get_task(task_id: int, data_id: int):
if task_id == 1:
return get_data_r2n4c18(data_id)
# elif task_id == 2:
# return get_data_r2n5c20(data_id)
# elif task_id == 3:
# return get_data_r3n4c18(data_id)
def scheduler_test(t_id, eid: int, cycle_id, txt_path):
# data = get_task(t_id, eid)
#
# # 加一个功能，用于将数据存储到txt里面，方便查看
# # print2csv(eid)
#
# print("#第", cycle_id, "次实验")
# print("节点数量：", len(data["nodes"]), ", 任务数量：", len(data["cloudlets"]))
# population = 500
MAX_GEN = 300
#
# hprpso = HPRPSO(cloudlets=data["cloudlets"], vms=data["nodes"], population_number=500, times=MAX_GEN)
# dpso = DPSO(cloudlets=data["cloudlets"], vms=data["nodes"], population_number=population, times=MAX_GEN)
# # sa = SAScheduler(cloudlets=data["cloudlets"], vms=data["nodes"], population_number=population, times=MAX_GEN)
# ac = ACScheduler(cloudlets=data["cloudlets"], vms=data["nodes"], population_number=population, times=MAX_GEN)
# # ga = GAScheduler(cloudlets=data["cloudlets"], vms=data["nodes"], population_number=population, times=MAX_GEN)
# hprpso_generation = hprpso.exec()
# dpso_generation = dpso.exec()
# # sa_generation = sa.sa_main()
# ac_generation = ac.scheduler_main()
# print(hprpso_generation, dpso_generation[-1], ac_generation[-1])
# np.savetxt("doublebar-1.txt", [hprpso_generation[-1], dpso_generation[-1], ac_generation[-1]], newline=",\n")
ax = plt.figure(cycle_id)
data = np.loadtxt("imgr2/result-1023-r2n4c18-4/generation4.txt")
# 固定配
p1, = plt.plot(range(MAX_GEN), data[0, :], color="red")
# p2, = plt.plot(range(MAX_GEN), bpso.exec(), color="orange")
p3 = plt.plot(range(MAX_GEN), data[1, :], color="green")
p4, = plt.plot(range(MAX_GEN), data[2, :], color="blue")
# p5, = plt.plot(range(MAX_GEN), sa.scheduler_main(), color="red")
# ga_generation = ga.ga_main()
# =====================
# 绘制折线图
# =====================
# p1, = plt.plot(range(MAX_GEN), hprpso_generation)
# p2, = plt.plot(range(MAX_GEN), dpso_generation)
# p3, = plt.plot(range(MAX_GEN), ac_generation)
# # p3, = plt.plot(range(MAX_GEN), sa_generation)
# # p5, = plt.plot(range(MAX_GEN), ga_generation)
# data = [hprpso.gbest.solution, dpso.gbest.solution, ac.best_topo]
# np.savetxt(txt_path+str(eid)+"/result" + str(cycle_id) + ".txt", data, fmt="%d", newline=",\n")
# generation = [hprpso_generation, dpso_generation, ac_generation]
# np.savetxt(txt_path+str(eid)+"/generation" + str(cycle_id) + ".txt", generation, fmt="%d", newline="\n")
ax.legend([p1, p3, p4], ["HPRPSO", "DPSO", "ACO"], bbox_to_anchor=(1.01, 0.88), loc=2, borderaxespad=0)
plt.rcParams['font.sans-serif'] = ['KaiTi'] # 指定默认字体
plt.rcParams['axes.unicode_minus'] = False # 解决保存图像是负号'-'显示为方块的问题
# plt.title("云计算任务调度-负载均衡得分图", fontdict={'size': 18})
plt.xlabel("generation", fontdict={'size': 18})
plt.ylabel("fitness", fontdict={'size': 18})
plt.xticks(size=12)
plt.yticks(size=12)
# plt.subplots_adjust(right=1)
plt.savefig('lineplot.png', dpi=300,
format='png', bbox_inches='tight') # bbox_inches="tight"解决X轴时间两个字不被保存的问题
# plt.savefig(txt_path+str(eid)+'/Scheduler-iter300-' + str(cycle_id) + '.png', dpi=300,
# format='png', bbox_inches='tight') # bbox_inches="tight"解决X轴时间两个字不被保存的问题
# # plt.show()
if __name__ == '__main__':
# read_plot()
path = "imgr2/result-1023-r2n4c18-"
# # 数据号 文件号 id
# scheduler_test(1, 2, 0, txt_path=path)
scheduler_test(1, 3, 1, txt_path=path)
# scheduler_test(1, 4, 2, txt_path=path)
# scheduler_test(1, 4, 3, txt_path=path)
# scheduler_test(1, 4, 4, txt_path=path)
# scheduler_test(1, 4, 5, txt_path=path)
# scheduler_test(1, 4, 6, txt_path=path)
# scheduler_test(1, 4, 7, txt_path=path)
# scheduler_test(1, 4, 8, txt_path=path)
# scheduler_test(1, 4, 9, txt_path=path)