Energy-Aware Application-Centric VM Allocation for HPC Workloads | The NSF Cloud and Autonomic Computing Center at Rutgers

Title	Energy-Aware Application-Centric VM Allocation for HPC Workloads
Publication Type	Conference Paper
Year of Publication	2011
Authors	Viswanathan, H, Lee, EK, Rodero, I, Pompili, D, Parashar, M, Gamell, M
Conference Name	Proceedings of the Workshop on High-Performance Grid and Cloud Computing, a workshop at the 25th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2011)
Date Published	05/2011
Conference Location	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.

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