Evaluation of HPC Applications on Cloud
OCS '11 Proceedings of the 2011 Sixth Open Cirrus Summit
Optimizing VM placement for HPC in the cloud
Proceedings of the 2012 workshop on Cloud services, federation, and the 8th open cirrus summit
Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
BlobCR: Virtual disk based checkpoint-restart for HPC applications on IaaS clouds
Journal of Parallel and Distributed Computing
Hi-index | 0.00 |
This paper presents a scheme to optimize the mapping of HPC applications to a set of hybrid dedicated and cloud resources. First, we characterize application performance on dedicated clusters and cloud to obtain application signatures. Then, we propose an algorithm to match these signatures to resources such that performance is maximized and cost is minimized. Finally, we show simulation results revealing that in a concrete scenario our proposed scheme reduces the cost by 60% at only 10-15% performance penalty vs. a non optimized configuration. We also find that the execution overhead in cloud can be minimized to a negligible level using thin hypervisors or OS-level containers.