diff --git a/U201915084/README.md b/U201915084/README.md new file mode 100644 index 0000000000000000000000000000000000000000..98fcb7ef96f81e33a30b9535f430a60f3155fa7b --- /dev/null +++ b/U201915084/README.md @@ -0,0 +1,7 @@ +# 大数据存储系统与管理作业2022 + +## 个人信息 + +- 姓名：张家荣 +- 班级：ACM1901班 +- 学号：U201915084 \ No newline at end of file diff --git "a/U201915084/U201915084_\345\274\240\345\256\266\350\215\243_\345\256\236\351\252\214\346\212\245\345\221\212.pdf" "b/U201915084/U201915084_\345\274\240\345\256\266\350\215\243_\345\256\236\351\252\214\346\212\245\345\221\212.pdf" new file mode 100644 index 0000000000000000000000000000000000000000..7614721c9569df440b1f75baa6aa25106c9c9cc5 Binary files /dev/null and "b/U201915084/U201915084_\345\274\240\345\256\266\350\215\243_\345\256\236\351\252\214\346\212\245\345\221\212.pdf" differ diff --git a/U201915084/lab2.py b/U201915084/lab2.py new file mode 100644 index 0000000000000000000000000000000000000000..cce1ed75b29ba510302b9ffe7d7382a50f1d9c80 --- /dev/null +++ b/U201915084/lab2.py @@ -0,0 +1,134 @@ +# -*- coding: utf-8 -*- +import os +import time +from concurrent.futures import ThreadPoolExecutor, as_completed +from threading import current_thread +from tqdm import tqdm + +import swiftclient + +endpoint = 'http://139.198.179.26:12345/' +_user = 'test:tester' +_key = 'testing' + +conn = swiftclient.Connection( + authurl=endpoint+'auth/v1.0', + user=_user, + key=_key +) + + +bucket_name = 'testbucket' +object_name_prefix = 'testObj' +object_size = 4*1024 #4KB +num_clients = 10 +num_samples = 500 + +# test parameters +print('endpoint: ',endpoint) +print('bucket_name: ',bucket_name) +print('object_name_prefix: ',object_name_prefix) +print('object_size: ',object_size) +print('num_clients: ',num_clients) +print('num_samples: ',num_samples) + +# 新建一个实验用 bucket (注意："bucket name" 中不能有下划线) +conn.put_container(bucket_name) +print('Test bucket %s created.'%bucket_name) + +# 准备负载，可以按照几种不同请求到达率 (Inter-Arrival Time, IAT) 设置。 +# 初始化本地数据文件 +local_file = "_test.bin" +test_bytes = [0xFF for i in range(object_size)] # 填充至所需大小 +with open(local_file, "wb") as lf: + lf.write(bytearray(test_bytes)) +print('Test file %s created.'%local_file) + + +def bench_put(i): + obj_name = '%s%08d'%(object_name_prefix,i) # 所建对象名 + start = time.time()*1000 # 换算为毫秒 + # print(current_thread().name,'start',start) + with open(local_file, 'rb') as f: + conn.put_object(bucket_name, obj_name, f) # 将本地文件上传为对象 + end = time.time()*1000 + # print(current_thread().name,'end',end) + duration = end - start + client = current_thread().name + return (duration, start, end, client) + +def bench_get(i): + obj_name = '%s%08d'%(object_name_prefix,i) # 所建对象名 + start = time.time()*1000 # 换算为毫秒 + # print(current_thread().name,'start',start) + resp_headers, obj_contents = conn.get_object(bucket_name, obj_name) + with open(obj_name, 'wb') as f: + f.write(obj_contents) + end = time.time()*1000 + # print(current_thread().name,'end',end) + duration = end - start + client = current_thread().name + return (duration, start, end, client) + +def bench_delete(i): + obj_name = '%s%08d'%(object_name_prefix,i) # 所建对象名 + start = time.time()*1000 # 换算为毫秒 + # print(current_thread().name,'start',start) + conn.delete_object(bucket_name, obj_name) + end = time.time()*1000 + # print(current_thread().name,'end',end) + duration = end - start + client = current_thread().name + return (duration, start, end, client) + +switch={'put':bench_put, 'get':bench_get, 'delete':bench_delete} + +def run_test(test_type): + print('Running '+test_type+' test...') + latency = [] + failed_requests = [] + test_start_time = time.time()*1000 + with tqdm(desc="Accessing S3", total=num_samples) as pbar: + with ThreadPoolExecutor(max_workers=num_clients) as executor: # 通过 max_workers 设置并发线程数 + futures = [ + executor.submit( + switch[test_type], + i) for i in range(num_samples) # 为保证线程安全，应给每个任务申请一个新 resource + ] + for future in as_completed(futures): # as_completed(futures)把futures中所有任务按完成时间先后顺序排序！！ + if future.exception(): + failed_requests.append(future) + else: + latency.append(future.result()) # 正确完成的请求，采集延迟 + pbar.update(1) + test_end_time = time.time()*1000 + test_duration = test_end_time-test_start_time + test_transferred = len(latency) * object_size + print('total duration: ', test_duration / 1024, 's') + print('average latency: ', sum([latency[i][0] for i in range(len(latency))]) / len(latency)) + print('total transferred: ', test_transferred / 1024, 'KB') + print('total throughput: ', test_transferred / test_duration, 'KB/s') + print('success rate: ', len(latency) / num_samples * 100, '%') + + tracefile_name = test_type+'_'+str(object_size)+'_'+str(num_clients)+'_'+str(num_samples)+'.csv' + with open(tracefile_name, "w+") as tracefile: + tracefile.write("id,latency,start,end,client\n") + tracefile.writelines([','.join(map(str,(i,)+latency[i]))+'\n' for i in range(len(latency))]) + + +run_test('put') +run_test('get') +run_test('delete') + + +for i in range(num_samples): + obj_name = '%s%08d'%(object_name_prefix,i) # + os.remove(obj_name) +print('Downloaded files deleted.') + +os.remove(local_file) +print('Test file %s deleted.'%local_file) + +conn.delete_container(bucket_name) +print('Test bucket %s deleted.'%bucket_name) + diff --git a/U201915084/lab3.py b/U201915084/lab3.py new file mode 100644 index 0000000000000000000000000000000000000000..2b1cd83a1e8d70203b59ff77489794ce4141e625 --- /dev/null +++ b/U201915084/lab3.py @@ -0,0 +1,133 @@ +# -*- coding: utf-8 -*- +import os +import time +from concurrent.futures import ThreadPoolExecutor, as_completed, ProcessPoolExecutor +import threading +import multiprocessing +from tqdm import tqdm + +import swiftclient + + + +endpoint = 'http://139.198.179.26:12345/' +_user = 'test:tester' +_key = 'testing' + +conn = swiftclient.Connection( + authurl=endpoint+'auth/v1.0', + user=_user, + key=_key +) + + +bucket_name = 'testbucket' +object_name_prefix = 'testObj' +object_size = 4 * 1024 #4KB +num_clients = 5 #注意：当num_clients较多（>=4）时运行过程中的异常信息是因为进程结束时请求发到一半被终止导致的 +num_samples = 200 +wait_time=0.549 #相邻两次对冲请求发起的时间间隔，若wait_time=0即为关联请求 +request_num = 1 #对冲/关联请求总共发起的请求数 + +# test parameters +print('endpoint: ',endpoint) +print('bucket_name: ',bucket_name) +print('object_name_prefix: ',object_name_prefix) +print('object_size: ',object_size) +print('num_clients: ',num_clients) +print('num_samples: ',num_samples) +print('wait_time: ',wait_time) +print('request_num: ',request_num) + +# 新建一个实验用 bucket (注意："bucket name" 中不能有下划线) +conn.put_container(bucket_name) +print('Test bucket %s created.'%bucket_name) + +# 准备负载，可以按照几种不同请求到达率 (Inter-Arrival Time, IAT) 设置。 +# 初始化本地数据文件 +local_file = "_test.bin" +test_bytes = [0xFF for i in range(object_size)] # 填充至所需大小 +with open(local_file, "wb") as lf: + lf.write(bytearray(test_bytes)) +print('Test file %s created.'%local_file) + +fup=open(local_file, 'rb') + +def bench_put(i): + obj_name = '%s%08d'%(object_name_prefix,i) # 所建对象名 + flag=True + end=0 + def func(): + nonlocal end + nonlocal flag + if(flag): + conn.put_object(bucket_name, obj_name, fup) # 将本地文件上传为对象 + if(flag): + end=time.time()*1000 + if(flag): + flag=False + + start=time.time()*1000 + for _ in range(request_num): + if(not flag): + break + t1=threading.Thread(target=func) + if(not flag): + break + t1.start() + if(not flag): + break + time.sleep(wait_time) + while(flag): + pass + duration = end - start + # print(duration) + client = threading.current_thread().name + return (duration, start, end, client) + + +switch={'put':bench_put} + +def run_test(test_type): + print('Running '+test_type+' test...') + latency = [] + failed_requests = [] + test_start_time = time.time()*1000 + with tqdm(desc="Accessing S3", total=num_samples) as pbar: + with ThreadPoolExecutor(max_workers=num_clients) as executor: # 通过 max_workers 设置并发线程数 + futures = [ + executor.submit( + switch[test_type], + i) for i in range(num_samples) # 为保证线程安全，应给每个任务申请一个新 resource + ] + for future in as_completed(futures): # as_completed(futures)把futures中所有任务按完成时间先后顺序排序！！ + if future.exception(): + failed_requests.append(future) + else: + latency.append(future.result()) # 正确完成的请求，采集延迟 + pbar.update(1) + test_end_time = time.time()*1000 + test_duration = test_end_time-test_start_time + test_transferred = len(latency) * object_size + print('total duration: ', test_duration / 1024, 's') + print('average latency: ', sum([latency[i][0] for i in range(len(latency))]) / len(latency)) + print('total transferred: ', test_transferred / 1024, 'KB') + print('total throughput: ', test_transferred / test_duration, 'KB/s') + print('success rate: ', len(latency) / num_samples * 100, '%') + + tracefile_name = 'h_'+str(wait_time)+'_'+str(request_num)+'_'+test_type+'_'+str(object_size)+'_'+str(num_clients)+'_'+str(num_samples)+'.csv' + with open(tracefile_name, "w+") as tracefile: + tracefile.write("id,latency,start,end,client\n") + tracefile.writelines([','.join(map(str,(i,)+latency[i]))+'\n' for i in range(len(latency))]) + + +run_test('put') + +fup.close() + +os.remove(local_file) +print('Test file %s deleted.'%local_file) + +# conn.delete_container(bucket_name) +# print('Test bucket %s deleted.'%bucket_name) + diff --git a/U201915084/lab3_method2.py b/U201915084/lab3_method2.py new file mode 100644 index 0000000000000000000000000000000000000000..6ef760e140adc4372bdc112e02bb668adf0ffd6d --- /dev/null +++ b/U201915084/lab3_method2.py @@ -0,0 +1,126 @@ +# -*- coding: utf-8 -*- +import os +import signal +import time +from concurrent.futures import ThreadPoolExecutor, as_completed, ProcessPoolExecutor +import threading +import multiprocessing +from tqdm import tqdm + +import swiftclient + + + +endpoint = 'http://139.198.179.26:12345/' +_user = 'test:tester' +_key = 'testing' + +conn = swiftclient.Connection( + authurl=endpoint+'auth/v1.0', + user=_user, + key=_key +) + + +bucket_name = 'testbucket' +object_name_prefix = 'testObj' +object_size = 4 * 1024 #4KB +num_clients = 5 #注意：当num_clients较多（>=4）时运行过程中的异常信息是因为进程结束时请求发到一半被终止导致的 +num_samples = 200 +wait_time=0 #相邻两次对冲请求发起的时间间隔，若wait_time=0即为关联请求 +request_num = 1 #对冲/关联请求总共发起的请求数 + +# test parameters +print('endpoint: ',endpoint) +print('bucket_name: ',bucket_name) +print('object_name_prefix: ',object_name_prefix) +print('object_size: ',object_size) +print('num_clients: ',num_clients) +print('num_samples: ',num_samples) + +# 新建一个实验用 bucket (注意："bucket name" 中不能有下划线) +conn.put_container(bucket_name) +print('Test bucket %s created.'%bucket_name) + +# 准备负载，可以按照几种不同请求到达率 (Inter-Arrival Time, IAT) 设置。 +# 初始化本地数据文件 +local_file = "_test.bin" +test_bytes = [0xFF for i in range(object_size)] # 填充至所需大小 +with open(local_file, "wb") as lf: + lf.write(bytearray(test_bytes)) +print('Test file %s created.'%local_file) + +fup=open(local_file, 'rb') + +def bench_put(i): + obj_name = '%s%08d'%(object_name_prefix,i) # 所建对象名 + + + def tied_request(): + def func(): + conn.put_object(bucket_name, obj_name, fup) # 将本地文件上传为对象 + os.kill(os.getpid(), signal.SIGTERM) #注意：本程序只能在linux系统下运行才能实现正确功能！！ + # while True: + for _ in range(request_num): + t1=threading.Thread(target=func) + t1.start() + time.sleep(wait_time) + time.sleep(100000) #等待充分长时间，使得在等待过程中进程被结束，然后退出 + + + p=multiprocessing.Process(target=tied_request) + start = time.time()*1000 # 换算为毫秒 + p.start() + p.join() + end = time.time()*1000 + # print(threading.current_thread().name,'end',end) + duration = end - start + # print(duration) + client = threading.current_thread().name + return (duration, start, end, client) + + +switch={'put':bench_put} + +def run_test(test_type): + print('Running '+test_type+' test...') + latency = [] + failed_requests = [] + test_start_time = time.time()*1000 + with tqdm(desc="Accessing S3", total=num_samples) as pbar: + with ProcessPoolExecutor(max_workers=num_clients) as executor: # 通过 max_workers 设置并发线程数 + futures = [ + executor.submit( + switch[test_type], + i) for i in range(num_samples) # 为保证线程安全，应给每个任务申请一个新 resource + ] + for future in as_completed(futures): # as_completed(futures)把futures中所有任务按完成时间先后顺序排序！！ + if future.exception(): + failed_requests.append(future) + else: + latency.append(future.result()) # 正确完成的请求，采集延迟 + pbar.update(1) + test_end_time = time.time()*1000 + test_duration = test_end_time-test_start_time + test_transferred = len(latency) * object_size + print('total duration: ', test_duration / 1024, 's') + print('total transferred: ', test_transferred / 1024, 'KB') + print('total throughput: ', test_transferred / test_duration, 'KB/s') + print('success rate: ', len(latency) / num_samples * 100, '%') + + tracefile_name = 'sig_'+str(wait_time)+'_'+str(request_num)+'_'+test_type+'_'+str(object_size)+'_'+str(num_clients)+'_'+str(num_samples)+'.csv' + with open(tracefile_name, "w+") as tracefile: + tracefile.write("id,latency,start,end,client\n") + tracefile.writelines([','.join(map(str,(i,)+latency[i]))+'\n' for i in range(len(latency))]) + + +run_test('put') + +fup.close() + +os.remove(local_file) +print('Test file %s deleted.'%local_file) + +# conn.delete_container(bucket_name) +# print('Test bucket %s deleted.'%bucket_name) + diff --git a/U201915084/latency-plot.py b/U201915084/latency-plot.py new file mode 100644 index 0000000000000000000000000000000000000000..17dcaa35d3354abe8bcd2e4df2f2bb5feb1b522d --- /dev/null +++ b/U201915084/latency-plot.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +from matplotlib.ticker import FuncFormatter +from matplotlib.pyplot import MultipleLocator, plot +rootpath='D:\\bigdata-storage-lab\\' +wait_time='0.612' +request_num='2' +filename='h_'+wait_time+'_'+request_num+'_put_4096_5_200.csv' +latency = pd.read_csv(rootpath+filename)['latency'].apply(pd.to_numeric).values +print(sum(latency)/len(latency)) +plt.rcParams['figure.dpi'] = 300 +plt.rcParams['figure.figsize'] = (5,5) +plt.suptitle(f'wait_time = {wait_time}, request_num = {request_num}',y=0.92) +plt.subplots_adjust(wspace=0.4) +plt.subplot(211) +plt.plot(latency) +plt.subplot(223) +plt.plot(sorted(latency, reverse=True)) +# plt.show() +plt.subplot(224) + +# 百分比换算 +def to_percent(y, position): + return str(100 * round(y, 2)) + "%" + +# 设置纵轴为百分比 +formatter = FuncFormatter(to_percent) +ax = plt.gca() +# ax.xaxis.set_major_locator(MultipleLocator(5)) +ax.yaxis.set_major_formatter(formatter) +# 避免横轴数据起始位置与纵轴重合，调整合适座标范围 +x_min = max(min(latency) * 0.8, min(latency) - 5) +x_max = max(latency) +plt.xlim(x_min, x_max) +# 绘制实际百分位延迟。bins即直方图条带数，bins越大，绘制的累积曲线越平滑 +plt.hist(latency, cumulative=True, histtype='step', weights=[1./ len(latency)] * len(latency), bins=100000) + +# 排队论模型 +# F(t)=1-e^(-1*a*t) +alpha = 0.3 +X_qt = np.arange(min(latency), max(latency), 1.) +Y_qt = 1 - np.exp(alpha * (min(latency) - X_qt)) +# 绘制排队论模型拟合 +plt.plot(X_qt, Y_qt) + +plt.grid() +plt.show() \ No newline at end of file diff --git "a/U201915084/\345\256\236\351\252\214\346\225\260\346\215\256/\345\237\272\345\207\206\346\265\213\350\257\225\345\256\236\351\252\214\346\225\260\346\215\256/delete_4096_10_500.csv" "b/U201915084/\345\256\236\351\252\214\346\225\260\346\215\256/\345\237\272\345\207\206\346\265\213\350\257\225\345\256\236\351\252\214\346\225\260\346\215\256/delete_4096_10_500.csv" new file mode 100644 index 0000000000000000000000000000000000000000..a12c16e309772c8bf5c307333be9159d19986b9c --- /dev/null +++ "b/U201915084/\345\256\236\351\252\214\346\225\260\346\215\256/\345\237\272\345\207\206\346\265\213\350\257\225\345\256\236\351\252\214\346\225\260\346\215\256/delete_4096_10_500.csv" @@ -0,0 +1,501 @@ +id,latency,start,end,client +0,90.758056640625,1649936709467.7842,1649936709558.5422,ThreadPoolExecutor-133_0 +1,68.815673828125,1649936709492.718,1649936709561.5337,ThreadPoolExecutor-133_6 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