@article {2077,
	title = {Energy-efficient Thermal-aware Autonomic Management of Virtualized HPC Cloud Infrastructure},
	journal = {Journal of Grid Computing (Springer)},
	volume = {10},
	year = {2012},
	month = {Sept},
	pages = {447-473},
	chapter = {447},
	abstract = {Virtualized datacenters and clouds are
being increasingly considered for traditional
High-Performance Computing (HPC) workloads
that have typically targeted Grids and conventional HPC platforms. However, maximizing
energy efficiency and utilization of datacenter resources, and minimizing undesired thermal behavior while ensuring application performance and
other Quality of Service (QoS) guarantees for
HPC applications requires careful consideration
of important and extremely challenging tradeoffs.
Virtual Machine (VM) migration is one of the most common techniques used to alleviate thermal anomalies (i.e., hotspots) in cloud datacenter servers as it reduces load and, hence, the
server utilization. In this article, the benefits of
using other techniques such as voltage scaling and
pinning (traditionally used for reducing energy
consumption) for thermal management over VM
migrations are studied in detail. As no single
technique is the most efficient to meet temperature/performance optimization goals in all situations, an autonomic approach that performs
energy-efficient thermal management while ensuring the QoS delivered to the users is proposed.
To address the problem of VM allocation
that arises during VM migrations, an innovative application-centric energy-aware strategy for
VM allocation is proposed. The proposed strategy ensures high resource utilization and energy efficiency through VM consolidation while
satisfying application QoS by exploiting knowledge obtained through application profiling along
multiple dimensions (CPU, memory, and network bandwidth utilization). To support our
arguments, we present the results obtained
from an experimental evaluation on real hardware using},
	author = {I. Rodero and H. Viswanathan and E. K. Lee and M. Gamell and D Pompili}
}
