Abstract
In recent years, an increasing number of organizations — including universities, research centers, and businesses — have begun to use Cloud Computing technology as an essential and promising tool for optimizing existing computing resources and increase their efficiency. Among the most important advantages it offers is a scalable and low-cost computing system which is adapted to the needs of the client, who only pays for the resources used. On the other hand, the use of High Performance Clusters for solving complex problems is increasing. If we unify both technologies, we will be able to produce flexible, scalable, and low-cost High Performance Clusters. This paper analyzes the operation and performance of a High Performance Cluster on a Cloud Infrastructure.
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References
Zhang, S., Zhang, S., Chen, X., Huo, X.: Cloud Computing Research and Development Trend. In: Second International Conference on Future Networks (2010)
Sun Microsystems. Introduction to Cloud Computing Architecture (June 2009)
GoGrid, http://www.gogrid.com/ (last accessed November 2011)
Amazon, http://aws.amazon.com/ (last accessed November 2011)
Amazon S3, http://aws.amazon.com/s3/ (last accessed November 2011)
Joyent, http://www.joyent.com/ (last accessed November 2011)
Enomalys Elastic Computing Platform, http://www.enomaly.com/ (last accessed November 2011)
Chef, http://wiki.opscode.com/display/chef/Home (last accessed November 2011)
Puppet, http://www.puppetlabs.com/ (last accessed November 2011)
OpenNebula, http://opennebula.org/ (last accessed November 2011)
Eucalyptus, http://www.eucalyptus.com/ (last accessed November 2011)
Ubuntu Enterprise Cloud, http://www.ubuntu.com/business/cloud/overview (last accessed November 2011)
OpenStack http://www.openstack.org/ (last accessed November 2011)
Jackson, K.R., Ramakrishnan, L., Muriki, K., Canon, S., Cholia, S., Wasserman, J.S.H.J., Wright, N.J.: Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud. In: 2nd IEEE International Conference on Cloud Computing Technology and Science (2010)
Vecchiola, C., Pandey, S., Buyya, R.: High Performance Cloud Computing: A View of Scientific Applications. In: 10th International Symposium on Pervasive Systems, Algorithms, and Networks (2009)
MPI Forum, http://www.mpi-forum.org (last accessed November 2011)
OpenMP, http://openmp.org (last accessed November 2011)
Unified Parallel C, http://upc.gwu.edu (last accessed November 2011)
Mateescu, G., Gentzsch, W., Ribbens, C.J.: Hybrid Computing – Where HPC meets grid and Cloud Computing. Elsevir B.V. (2010)
XEN, http://www.xen.org/ (last accessed November 2011)
KVM, http://www.linux-kvm.org/ (last accessed November 2011)
Walker, E.: Benchmarking Amazon EC2 for high-performance scientific computing. USENIX; Login: Magazine 33(5), 18–23 (2008)
Cherkasova, L., Gardner, R.: Measuring CPU Overhead for I/O Processing in the Xen Virtual Machine Monitor. In: Proceedings of the Annual Conference on USENIX Annual Technical Conference, ATEC 2005, pp. 24–24. USENIX Association, Berkeley (2005)
MPI Benchmark, http://www.generacio.com/cluster/mflops.c (last accessed November 2011)
Bailey, D.H., et al.: The NAS Parallel Benchmarks. International Journal of Supercomputer Applications 5(3) (Fall1991), 63–73 (1996)
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Gómez, J., Villar, E., Molero, G., Cama, A. (2012). Evaluation of High Performance Clusters in Private Cloud Computing Environments. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_36
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DOI: https://doi.org/10.1007/978-3-642-28765-7_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28764-0
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