Date Added: May 2012
In order to curtail the continuous increase in power consumption of modern datacenters, researchers are responding with sophisticated energy-aware workload management methods. This increases the complexity and cost of the management operation, and may lead to increases in failure rates. The goal of this paper is to illustrate that there exists considerable diversity in the effectiveness of different, potentially 'Smarter' workload management methods depending on the target metric or the characteristics of the workload being managed. The authors conduct experiments on a datacenter prototype platform, virtualized with the VMware vSphere software, and using representative cloud applications - a distributed key-value store and a map-reduce computation.