@inproceedings{lang2010wimpy,
author = {Lang, Willis and Patel, Jignesh M. and Shankar, Srinath},
title = {Wimpy node clusters: what about non-wimpy workloads?},
booktitle = {Data Management on New Hardware},
year = {2010},
month = {June},
abstract = {The high cost associated with powering servers has introduced new challenges in improving the energy efficiency of clusters running data processing jobs. Traditional high-performance servers are largely energy inefficient due to various factors such as the over-provisioning of resources. The increasing trend to replace traditional high-performance server nodes with low-power low-end nodes in clusters has recently been touted as a solution to the cluster energy problem. However, the key tacit assumption that drives such a solution is that the proportional scale-out of such low-power cluster nodes results in constant scaleup in performance. This paper studies the validity of such an assumption using measured price and performance results from a low-power Atom-based node and a traditional Xeon-based server and a number of published parallel scaleup results. Our results show that in most cases, computationally complex queries exhibit disproportionate scaleup characteristics which potentially makes scale-out with low-end nodes an expensive and lower performance solution.},
publisher = {ACM},
url = {http://approjects.co.za/?big=en-us/research/publication/wimpy-node-clusters-what-about-non-wimpy-workloads/},
pages = {47-55},
}