@conference {167,
	title = {Energy-Aware Application-Centric VM Allocation for HPC Workloads},
	booktitle = {Proceedings of the Workshop on High-Performance Grid and Cloud Computing, a workshop at the 25th IEEE International Parallel \& Distributed Processing Symposium (IPDPS 2011)},
	year = {2011},
	month = {05/2011},
	address = {Anchorage, Alaska, USA},
	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,
cost-effectiveness, and utilization of datacenter resources
while ensuring performance and other Quality of Service (QoS)
guarantees for HPC applications requires careful consideration
of important and extremely challenging tradeoffs.
An innovative application-centric energy-aware strategy for
Virtual Machine (VM) allocation is presented. The proposed
strategy ensures high resource utilization and energy efficiency
through VM consolidation while satisfying application QoS.
While existing VM allocation solutions are aimed at satisfying
only the resource utilization requirements of applications along
only one dimension (CPU utilization), the proposed approach
is more generic as it employs knowledge obtained through
application profiling along multiple dimensions. The results of
our evaluation show that the proposed VM allocation strategy
enables significant reduction either in energy consumption or in
execution time, depending on the optimization goals.},
	author = {H. Viswanathan and E. K. Lee and I. Rodero and D Pompili and Manish Parashar and M. Gamell}
}
