@misc{mahajan2013towards,
author = {Mahajan, Dhruv and Sellamanickam, Sundararajan and Weimer, Markus and Selvaraj, Keerthi},
title = {Towards Resource-Elastic Machine Learning},
year = {2013},
month = {January},
abstract = {In this article, we argue that resource elasticity is a key requirement for distributed machine learning. Not only do computational resources disappear without warning (e.g. due to machine failure), modern resource managers also re-negotiate the available resources while a job is running: Additional machines may have become available or already reserved ones have been re-assigned to other jobs. We show how to formalize this problem and present an initial approach for linear learners.},
publisher = {NIPS 2013 BigLearn Workshop},
url = {http://approjects.co.za/?big=en-us/research/publication/towards-resource-elastic-machine-learning/},
}