@proceedings {168,
	title = {Towards Energy-Efficient Reactive Thermal Management in Instrumented Datacenters},
	year = {2010},
	month = {10/2010},
	pages = {pp. 321-328},
	address = {Brussels, Belgium},
	abstract = {Virtual Machine (VM) migration is one of the most
common techniques used to alleviate thermal anomalies (i.e.,
hotspots) in cloud datacenter{\textquoteright}s servers of by reducing the load
and, therefore, decreasing the server utilization. However, there
are other techniques such as voltage scaling that also can be
applied to reduce the temperature of the servers in datacenters.
Because no single technique is the most efficient to meet temperature/
performance optimization goals in all situations, we work
towards an autonomic approach that performs energy-efficient
thermal management while ensuring the Quality of Service (QoS)
delivered to the users.
In this paper, we explore ways to take actions to reduce
energy consumption at the server side before performing costly
migrations of VMs. Specifically, we focus on exploiting VM
Monitor (VMM) configurations, such as pinning techniques in
Xen platforms, which are complementary to other techniques at
the physical server layer such as using low power modes. To
support the arguments of our approach, we present the results
obtained from an experimental evaluation on real hardware using
High Performance Computing (HPC) workloads on different
scenarios.},
	author = {I. Rodero and E. K. Lee and D Pompili and Manish Parashar and M. Gamell and R.J. Figueiredo}
}
