By Topic

How Hadoop Clusters Break

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ariel Rabkin ; Princeton University ; Randy Howard Katz

This article describes an examination of a sample of several hundred support tickets for the Hadoop ecosystem, a widely used group of big data storage and processing systems; a taxonomy of errors and how they are addressed by supporters; and the misconfigurations that are the dominant cause of failures. Some design "antipatterns" and missing platform features contribute to these problems. Developers can use various methods to build more robust distributed systems, thereby helping users and administrators prevent some of these rough edges.

Published in:

IEEE Software  (Volume:30 ,  Issue: 4 )