Skip to Content
Distributed Computing with Python
book

Distributed Computing with Python

by Francesco Pierfederici
April 2016
Intermediate to advanced
170 pages
3h 48m
English
Packt Publishing
Content preview from Distributed Computing with Python

Common problems – the availability of hardware resources

The hardware resources that our application needs might or might not be available at any given point in time. Moreover, even if some resources were to be available at some point in time, nothing guarantees that they will stay available for much longer. A problem we can face related to this is network glitches, which are quite common in many environments (especially for mobile apps) and which, for most practical purposes, are indistinguishable from machine or application crashes.

Applications using a distributed computing framework or job scheduler can often rely on the framework itself to handle at least some common failure scenarios. Some job schedulers will even resubmit our jobs in case ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Distributed Machine Learning with Python

Distributed Machine Learning with Python

Guanhua Wang
Scientific Computing with Python - Second Edition

Scientific Computing with Python - Second Edition

Claus Führer, Claus Fuhrer, Jan Erik Solem, Olivier Verdier
Learning Python Networking - Second Edition

Learning Python Networking - Second Edition

José Manuel Ortega, Dr. M. O. Faruque Sarker, Sam Washington

Publisher Resources

ISBN: 9781785889691Supplemental Content