From 7ae3de0e6539e4462072fb6c0174997ba1729cac Mon Sep 17 00:00:00 2001 From: a-shdv Date: Sat, 23 Dec 2023 19:40:32 +0400 Subject: [PATCH 1/5] Add lab5 --- shadaev_anton_lab_5/README.md | 34 ++++++++++ shadaev_anton_lab_5/main.py | 73 ++++++++++++++++++++++ shadaev_anton_lab_5/screenshots/img.png | Bin 0 -> 43348 bytes shadaev_anton_lab_5/screenshots/img_1.png | Bin 0 -> 56154 bytes shadaev_anton_lab_5/screenshots/img_2.png | Bin 0 -> 56154 bytes shadaev_anton_lab_5/screenshots/img_3.png | Bin 0 -> 102338 bytes shadaev_anton_lab_5/screenshots/img_4.png | Bin 0 -> 109088 bytes shadaev_anton_lab_5/screenshots/img_5.png | Bin 0 -> 116476 bytes 8 files changed, 107 insertions(+) create mode 100644 shadaev_anton_lab_5/README.md create mode 100644 shadaev_anton_lab_5/main.py create mode 100644 shadaev_anton_lab_5/screenshots/img.png create mode 100644 shadaev_anton_lab_5/screenshots/img_1.png create mode 100644 shadaev_anton_lab_5/screenshots/img_2.png create mode 100644 shadaev_anton_lab_5/screenshots/img_3.png create mode 100644 shadaev_anton_lab_5/screenshots/img_4.png create mode 100644 shadaev_anton_lab_5/screenshots/img_5.png diff --git a/shadaev_anton_lab_5/README.md b/shadaev_anton_lab_5/README.md new file mode 100644 index 0000000..7dc101f --- /dev/null +++ b/shadaev_anton_lab_5/README.md @@ -0,0 +1,34 @@ +# Лабораторная работа №5 - Параллельное умножение матриц +Цель: +1. Реализовать алгоритм последовательного умножения матриц +2. Реализовать алгоритм параллельного умножения матриц + +## Запуск +Запускаем скрипт `main.py`, вывод будет консольным. + +## Код: +Последовательное умножение: + +![img.png](screenshots/img.png) + +Параллельное умножение: + +![img_2.png](screenshots/img_2.png) + +![img_3.png](screenshots/img_3.png) + +Тесты: + +![img_4.png](screenshots/img_4.png) + +# Работа программы + +Вывод: + +![img_5.png](screenshots/img_5.png) + +Таким образом, параллельное умножение дало преимущество при переменожении матриц большей размерности, +а на матрицах меньших размерностей не давало никаких преимуществ, а даже, наоборот, проигрывало последовательному перемножению. +Это связано с тем, что больше времени ушло на переключение между ядрами процессора. + +Видео: https://youtu.be/f4ayPI423n0 diff --git a/shadaev_anton_lab_5/main.py b/shadaev_anton_lab_5/main.py new file mode 100644 index 0000000..d56a470 --- /dev/null +++ b/shadaev_anton_lab_5/main.py @@ -0,0 +1,73 @@ +import numpy as np +import time +import multiprocessing + + +def sequential_matrix_multiply(matrix_a, matrix_b): + result = np.zeros((len(matrix_a), len(matrix_b[0]))) + for i in range(len(matrix_a)): + for j in range(len(matrix_b[0])): + for k in range(len(matrix_b)): + result[i][j] += matrix_a[i][k] * matrix_b[k][j] + return result + + +def parallel_matrix_multiply_worker(args): + matrix_a, matrix_b, row_start, row_end, result = args + local_result = np.zeros((row_end - row_start, len(matrix_b[0]))) + for i in range(row_start, row_end): + for j in range(len(matrix_b[0])): + for k in range(len(matrix_b)): + local_result[i - row_start][j] += matrix_a[i][k] * matrix_b[k][j] + result.extend(local_result) + + +def parallel_matrix_multiply(matrix_a, matrix_b, num_processes=2): + num_rows_a = len(matrix_a) + chunk_size = num_rows_a // num_processes + processes = [] + manager = multiprocessing.Manager() + result = manager.list() + + for i in range(num_processes): + row_start = i * chunk_size + row_end = (i + 1) * chunk_size if i < num_processes - 1 else num_rows_a + process_args = (matrix_a, matrix_b, row_start, row_end, result) + process = multiprocessing.Process(target=parallel_matrix_multiply_worker, args=(process_args,)) + processes.append(process) + + for process in processes: + process.start() + + for process in processes: + process.join() + + return np.vstack(result) + + +def run_test(matrix_size, num_processes=2): + matrix_a = np.random.rand(matrix_size, matrix_size) + matrix_b = np.random.rand(matrix_size, matrix_size) + + start_time = time.time() + result_sequential = sequential_matrix_multiply(matrix_a, matrix_b) + sequential_time = time.time() - start_time + print(f"Последовательноe умножение заняло ({matrix_size}x{matrix_size}): {sequential_time} секунд") + + start_time = time.time() + result_parallel = parallel_matrix_multiply(matrix_a, matrix_b, num_processes) + parallel_time = time.time() - start_time + print( + f"Параллельное умножение матрицы ({matrix_size}x{matrix_size}) с {num_processes} потоками заняло: {parallel_time} секунд") + print("========================================") + +# Тесты для матриц размером 100x100, 300x300 и 500x500 с разным числом процессов + +# Бенчмарки для матриц размером 100, 300, 500 строк +if __name__ == '__main__': + run_test(100, num_processes=2) + run_test(100, num_processes=4) + run_test(300, num_processes=2) + run_test(300, num_processes=4) + run_test(500, num_processes=2) + run_test(500, num_processes=4) \ No newline at end of file diff --git a/shadaev_anton_lab_5/screenshots/img.png b/shadaev_anton_lab_5/screenshots/img.png new file mode 100644 index 0000000000000000000000000000000000000000..e9b4608cdc700edde678c3f7233056cf724cfb74 GIT binary patch literal 43348 zcma&NWmH>1*Y{nlgyPUPP@s_F1%kUf6qn-e4h>$cI23o6;#wRU+#$G2a0p(CyFEPD zb>C~f&$oAfI4dh_PBQ1r?3umy|2N^viqhC`KD>GL>J_%EjD+f|SIEGZ&nEH~hFZ=|F*}l&T}mpF2t+9z?c($wyNTP%LB;41Ssx4z{Evy_MeFhW z*IHG)X%PX{dwY8ZYv2Cc+=Kh1G9e;0l?WqPOjSqcb7^U*VEgX+f9%9zU6&dtFg!Y% zbamyX-QnAon3BS<2xuQ*_j{1(sPRVKy1Eb`lG1r{{~qzb_l%xY#$lqmfBEv0QL9>{ zKbnl;d}lP_=g*%G$bw+7Vr^|L6$k{%l(MiWqN1kWKVDeSg27;Mo0}%E!NI+F+*6M+ zL%;OagyiHRAS94{{MLjp>|G4mm@&T&8_iiZEkKZN^imaJ(ErW zYIlgJ#L&>tO!LIT0^RxUcuI2ed+l1Y@SVQ%)2)Hw&Atfpf6LIj*2YGSEtInjVow6a zhf=lTp_7fC!jcl1E&N8O4KW4U1v;GnT2+i=l%5vF-x{21jwwQ@$lyH;?RYakE;W@- zE(QFRp=aWkIJK~_p{%sGcdPo>ucg!|-6G9eGS$9XwW|91mHQjJUB~olMI}k7d7_^A zd3hW{`*kja^(Fs19v|CXAxH+HdLo|yIb8PX@qw@eS~*cs|DryxmzVN|f<`g3L<4)O z^V?fFjAKFv9|jtQ^a2DjTa8KI8-)bRA8Q3YUR{v?c`sO`YnTuu;va8OVQ9!Xe`4Rr zpvsXw^o1g0_Ku{nb1HcA$)G@x{MQ9-XDOnH*)4)#eP`Rlt{7;$sy~8z?@UpLkN!LE zEKaRoAxM8!(S}K5kr;{ae#FNUP-9|aW7`B9X``zC5PoeI=&p4}fpferjidsqnw!%= z8>Z{khC&K;gtQcmZwqQ`RZ}Fjq)Mx*j(6w|{%1Db-HZ)NDz!-7U?XWY+NHhpN!nsO zyHf65Eas+hR_ABq6rn*()mNVD+}|pkcS=<9IRu|fN-30{xHviKDL&me#(w-p@u9%h zz3Bhb)0YX2Y(yp!hMuEa&6Jo$>b69ufjQM%>)%6d{B%^n<7Lv-$tT)eFy4Ykkj(!u z7q+uwvEpi?gh3tC-7N+i9#*rJGBkJpuQTikx3fe1C4V)!1DcL+)*3pP{@y?BUisZ; 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shadaev_anton_lab_6/README.md create mode 100644 shadaev_anton_lab_6/img.png create mode 100644 shadaev_anton_lab_6/img_1.png create mode 100644 shadaev_anton_lab_6/img_2.png create mode 100644 shadaev_anton_lab_6/main.py create mode 100644 shadaev_anton_lab_6/screenshots/img.png diff --git a/shadaev_anton_lab_6/README.md b/shadaev_anton_lab_6/README.md new file mode 100644 index 0000000..49b3e99 --- /dev/null +++ b/shadaev_anton_lab_6/README.md @@ -0,0 +1,27 @@ +# Лабораторная работа №6 +Цель: +1. Реализовать нахождение детерминанта квадратной матрицы. + +## Запуск +Запускаем скрипт `main.py`, вывод будет консольным. + +## Код: +![img.png](img.png) + +`determinant_block`: Эта функция принимает квадратный блок матрицы и использует функцию np.linalg.det из библиотеки NumPy для вычисления его детерминанта. + +![img_1.png](img_1.png) + +`determinant_parallel`: Эта функция осуществляет разбиение исходной матрицы на квадратные блоки, а затем применяет библиотеку multiprocessing для параллельного вычисления детерминантов блоков. Путем создания пула процессов, она разделяет матрицу на блоки и передает каждый блок в пул процессов для параллельного вычисления детерминанта. После этого результаты собираются и перемножаются для получения общего детерминанта матрицы. + +![img_2.png](img_2.png) + +В блоке `if __name__ == "__main__":` генерируется случайная матрица указанного размера, после чего функция determinant_parallel вызывается с различным числом процессов (num_processes). Замеряется время выполнения для каждого размера матрицы и каждого количества процессов. Также проводится измерение времени выполнения для последовательного (однопоточного) вычисления детерминанта с использованием функции determinant_block. + +# Работа программы + +Вывод: + +![img.png](screenshots/img.png) + +Из полученных результатов видно, что реализованный алгоритм не проявляет эффективность при использовании различного числа потоков для указанных размеров матрицы. 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Балансировка нагрузки в распределённых системах при помощи открытых технологий на примерах + +# Задание + +Написать небольшое эссе (буквально несколько абзацев) своими словами (пожалуйста не пользуйтесь гуглом :). А помогут Вам в этом вопросы из списка: + +1) Какие алгоритмы и методы используются для балансировки нагрузки? +2) Какие открытые технологии существуют для балансировки нагрузки? +3) Как осуществляется балансировка нагрузки на базах данных? +4) Реверс-прокси как один из элементов балансировки нагрузки. + +# Эссе +Балансировка нагрузки представляет собой стратегию распределения трафика или задач равномерно между ресурсами, с целью предотвращения перегрузок и обеспечения оптимального использования вычислительных ресурсов, таких как компьютеры, серверы и др. + +Существует несколько методов и алгоритмов для осуществления балансировки. Например, метод Round Robin (RR) просто распределяет нагрузку по кругу, в порядке очереди. Взвешенный Round Robin добавляет веса, чтобы более мощные ресурсы получали больше задач. + +В контексте балансировки нагрузки мы изучили веб-сервер Nginx, который отличается простотой использования и эффективностью. С его помощью можно настроить распределение запросов для оптимального использования ресурсов. + +В области баз данных балансировка нагрузки имеет большое значение. Это позволяет распределить данные между серверами, что приводит к улучшению производительности и масштабируемости. + +Реверс-прокси, установленный перед серверами, фильтрует входящий трафик. Он способен распределять запросы, скрывать реальные серверы и даже выполнять кэширование данных. \ No newline at end of file From 1d7145da66f6d7ddbf2d545becb010e1b5679c28 Mon Sep 17 00:00:00 2001 From: a-shdv Date: Sat, 23 Dec 2023 20:03:38 +0400 Subject: [PATCH 4/5] Add lab8 --- shadaev_anton_lab_8/README.md | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 shadaev_anton_lab_8/README.md diff --git a/shadaev_anton_lab_8/README.md b/shadaev_anton_lab_8/README.md new file mode 100644 index 0000000..1431497 --- /dev/null +++ b/shadaev_anton_lab_8/README.md @@ -0,0 +1,23 @@ +# Лабораторная работа № 8. Как Вы поняли, что называется распределенной системой и как она устроена? + +# Задание + +Написать небольшое эссе (буквально несколько абзацев) своими словами (пожалуйста не пользуйтесь гуглом :) ) на тему "Устройство распределенных систем". А помогут Вам в этом вопросы из списка: + +1) Зачем сложные системы (например, социальная сеть ВКонтакте) пишутся в "распределенном" стиле, где каждое отдельное приложение (или сервис) функционально выполняет только ограниченный спектр задач? +2) Для чего были созданы системы оркестрации приложений? Каким образом они упрощают / усложняют разработку и сопровождение распределенных систем? +3) Для чего нужны очереди обработки сообщений и что может подразумеваться под сообщениями? +4) Какие преимущества и недостатки распределенных приложений существуют на Ваш взгляд? +5) Целесообразно ли в сложную распределенную систему внедрять параллельные вычисления? Приведите примеры, когда это действительно нужно, а когда нет. + +# Эссе + +Сложные системы, такие как социальная сеть ВКонтакте, используют распределенный стиль для эффективного распределения нагрузки и обеспечения масштабируемости. Каждое отдельное приложение или сервис выполняет ограниченный спектр задач, что позволяет легче масштабировать и поддерживать систему. + +Системы оркестрации приложений созданы для управления и координирования распределенными сервисами. Они упрощают разработку, позволяя легко масштабировать и изменять состав сервисов. Однако, вместе с тем, они могут усложнять разработку и сопровождение из-за необходимости управления конфигурациями и обработки сложных сценариев взаимодействия. + +Очереди обработки сообщений необходимы для асинхронного взаимодействия между компонентами распределенной системы. Они позволяют разделить производителей и потребителей сообщений, обеспечивая гибкость и отказоустойчивость. Под сообщениями может подразумеваться разнообразная информация, например, запросы на выполнение задач или данные для обмена между сервисами. + +Распределенные приложения обладают преимуществами, такими как масштабируемость и отказоустойчивость, но также сопряжены с недостатками. Преимущества включают возможность эффективного использования ресурсов и обработку больших объемов данных. Однако, недостатки могут включать сложность разработки, поддержки и управления консистентностью данных. + +Внедрение параллельных вычислений в сложную распределенную систему целесообразно в зависимости от конкретных требований. Например, параллельные вычисления могут быть полезны при обработке больших объемов данных или выполнении вычислительно сложных задач. Однако, это может быть излишним, если система имеет небольшую нагрузку или задачи не требуют параллельной обработки. \ No newline at end of file From 3a1de5ead005c24fb17e8146cc05cd497f1bb56d Mon Sep 17 00:00:00 2001 From: a-shdv Date: Sat, 23 Dec 2023 20:50:41 +0400 Subject: [PATCH 5/5] Add lab4 --- shadaev_anton_lab_4/README.MD | 37 ++++++++++++++++++++++ shadaev_anton_lab_4/consumer_1.py | 37 ++++++++++++++++++++++ shadaev_anton_lab_4/consumer_2.py | 31 ++++++++++++++++++ shadaev_anton_lab_4/publisher.py | 28 ++++++++++++++++ shadaev_anton_lab_4/screenshots/img.png | Bin 0 -> 97244 bytes shadaev_anton_lab_4/screenshots/img_1.png | Bin 0 -> 155013 bytes shadaev_anton_lab_4/screenshots/img_2.png | Bin 0 -> 166244 bytes shadaev_anton_lab_4/screenshots/img_3.png | Bin 0 -> 86622 bytes shadaev_anton_lab_4/screenshots/img_4.png | Bin 0 -> 47351 bytes shadaev_anton_lab_5/img.png | Bin 0 -> 68333 bytes 10 files changed, 133 insertions(+) create mode 100644 shadaev_anton_lab_4/README.MD create mode 100644 shadaev_anton_lab_4/consumer_1.py create mode 100644 shadaev_anton_lab_4/consumer_2.py create mode 100644 shadaev_anton_lab_4/publisher.py create mode 100644 shadaev_anton_lab_4/screenshots/img.png create mode 100644 shadaev_anton_lab_4/screenshots/img_1.png create mode 100644 shadaev_anton_lab_4/screenshots/img_2.png create mode 100644 shadaev_anton_lab_4/screenshots/img_3.png create mode 100644 shadaev_anton_lab_4/screenshots/img_4.png create mode 100644 shadaev_anton_lab_5/img.png diff --git a/shadaev_anton_lab_4/README.MD b/shadaev_anton_lab_4/README.MD new file mode 100644 index 0000000..6fee2b4 --- /dev/null +++ b/shadaev_anton_lab_4/README.MD @@ -0,0 +1,37 @@ +# Лабораторная работа №4 - Работа с брокером сообщений + +# Задачи: + +Необходимо выбрать предметную область и разработать следующие приложения: + +1) Publisher. Программа, которая создаёт один exchange с типом fanout. Программа должна раз в секунду генерировать сообщения в журнал событий согласно вашей предметной области. Например, событие "пришёл заказ" или "сообщение от пользователя" или "необходимо создать отчёт". +2) Consumer 1. Программа, которая создаёт под себя отдельную не анонимную (!) очередь (queue) (то есть имя queue НЕ пустая строка), создаёт binding на exchange и начинает принимать сообщения (consume). Программа должна обрабатывать сообщения 2-3 секунды. Можно реализовать через обычный Thread.Sleep (для C#). +3) Consumer 2. Аналогично Consumer 1, только сообщения необходимо обрабатывать моментально. Только имя очереди должно отличаться от Consumer 1. + + +# Как запустить +Запустить `python 'название_файла'` + +# Работа программы + +**publisher:** + +![img.png](screenshots/img.png) + +**consumer_1:** + +![img_1.png](screenshots/img_1.png) + +**consumer_2:** + +![img_2.png](screenshots/img_2.png) + +**1-я очередь** + +![img_3.png](screenshots/img_3.png) + +**2-я очередь** + +![img_4.png](screenshots/img_4.png) + +Видео: https://youtu.be/3pxgHmm3i0Q \ No newline at end of file diff --git a/shadaev_anton_lab_4/consumer_1.py b/shadaev_anton_lab_4/consumer_1.py new file mode 100644 index 0000000..358a570 --- /dev/null +++ b/shadaev_anton_lab_4/consumer_1.py @@ -0,0 +1,37 @@ +import pika +import time +import threading + + +def process_message(ch, method, properties, body): + print(f"Получена вакансия (Consumer 1): {body.decode('utf-8')}") + time.sleep(2) + ch.basic_ack(delivery_tag=method.delivery_tag) + + +def consume_messages(channel, queue_name, exchange_name): + channel.queue_declare(queue=queue_name) + channel.queue_bind(exchange=exchange_name, queue=queue_name) + channel.basic_consume(queue=queue_name, on_message_callback=process_message) + + print("Consumer 1 начал прослушивание сообщений...") + channel.start_consuming() + + +def main(): + connection = pika.BlockingConnection(pika.ConnectionParameters('localhost')) + channel = connection.channel() + + exchange_name = 'logs' + queue_name = 'queue1' + + consumer_thread = threading.Thread(target=consume_messages, args=(channel, queue_name, exchange_name)) + consumer_thread.start() + + consumer_thread.join() + + connection.close() + + +if __name__ == '__main__': + main() diff --git a/shadaev_anton_lab_4/consumer_2.py b/shadaev_anton_lab_4/consumer_2.py new file mode 100644 index 0000000..da1aacd --- /dev/null +++ b/shadaev_anton_lab_4/consumer_2.py @@ -0,0 +1,31 @@ +import pika + + +def process_message(ch, method, properties, body): + print(f"Получена вакансия (Consumer 2): {body.decode('utf-8')}") + ch.basic_ack(delivery_tag=method.delivery_tag) + + +def consume_messages(channel, queue_name, exchange_name): + channel.queue_declare(queue=queue_name) + channel.queue_bind(exchange=exchange_name, queue=queue_name) + channel.basic_consume(queue=queue_name, on_message_callback=process_message) + + print("Consumer 2 начал прослушивание сообщений...") + channel.start_consuming() + + +def main(): + connection = pika.BlockingConnection(pika.ConnectionParameters('localhost')) + channel = connection.channel() + + exchange_name = 'logs' + queue_name = 'queue2' + + consume_messages(channel, queue_name, exchange_name) + + connection.close() + + +if __name__ == '__main__': + main() diff --git a/shadaev_anton_lab_4/publisher.py b/shadaev_anton_lab_4/publisher.py new file mode 100644 index 0000000..380126f --- /dev/null +++ b/shadaev_anton_lab_4/publisher.py @@ -0,0 +1,28 @@ +import pika +import time +import random + + +def publish_event(channel, exchange_name): + events = ["Пришла страница", "Пришла вакансия", "Необходимо обработать запрос"] + while True: + event = random.choice(events) + channel.basic_publish(exchange=exchange_name, routing_key='', body=event) + print(f"Отправлено событие: {event}") + time.sleep(3) + + +def main(): + connection = pika.BlockingConnection(pika.ConnectionParameters('localhost')) + channel = connection.channel() + + exchange_name = 'logs' + channel.exchange_declare(exchange=exchange_name, exchange_type='fanout') + + publish_event(channel, exchange_name) + + connection.close() + + +if __name__ == '__main__': + main() diff --git a/shadaev_anton_lab_4/screenshots/img.png b/shadaev_anton_lab_4/screenshots/img.png new file mode 100644 index 0000000000000000000000000000000000000000..a95678da8a1ff2cbf11ffc0ed1cb593b5533c108 GIT binary patch literal 97244 zcmY(qcU)6l(=HsEs0b)1pg=%cq&G>Z0YyZlsem*Ag#cm#NH3vTk={!T5Jd%15JT_b zmX^?q(tAe|LMS1jp4{*Eo##C7{JDQwJ8Mr{Gi$CZ=AM}$=h-V~0RRA}(Vbfl000&g 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