Routing/Computing HW • 1 min read

Non fault tolerant Non fault tolerant because whenever something goes wrong, the entire order gets screwed up and cannot reach the end point

Fault tolerant

Parallel and Distributed Computing: First make a simple code that runs sequentially, for example loops ten times before stopping. Then make code that completes the same job quicker by running parallel.

Sequential

import time

start = time.time()

for i in range(10): print(i)

end = time.time() print(“timer thing:”, end - start)

0 1 2 3 4 5 6 7 8 9 Sequential time: 5.4836273193359375e-05

Parallelism

import time import multiprocessing

start = time.time()

def print_num(num): print(num)

if name == ‘main’: pool = multiprocessing.Pool(processes=10) pool.map(print_num, range(10)) pool.close() pool.join()

end = time.time() print(“time thing again:”, end - start)