Abstract
Scientists and engineers are more and more faced to the need of computational power to satisfy the ever-increasing resource intensive nature of their experiments. Traditionally, they have relied on conventional computing infrastructures such as clusters and Grids. A recent computing paradigm that is gaining momentum is Cloud Computing, which offers a simpler administration mechanism compared to those conventional infrastructures. However, there is a lack of studies in the literature about the viability of using Cloud Computing to execute scientific and engineering applications from a performance standpoint. We present an empirical study on the employment of Cloud infrastructures to run parameter sweep experiments (PSEs), particularly studies of viscoplastic solids together with simulations by using the CloudSim toolkit. In general, we obtained very good speedups, which suggest that disciplinary users could benefit from Cloud Computing for executing resource intensive PSEs.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Youn, C., Kaiser, T.: Management of a parameter sweep for scientific applications on cluster environments. Concurrency and Computation: Practice and Experience 22, 2381–2400 (2010)
Thain, D., Tannenbaum, T., Livny, M.: Distributed computing in practice: The Condor experience. Concurrency and Computation: Practice and Experience 17, 323–356 (2005)
Foster, I., Kesselman, C.: The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann Inc., San Francisco (2003)
Dikaiakos, M.D., Katsaros, D., Mehra, P., Pallis, G., Vakali, A.: Cloud Computing: Distributed Internet Computing for IT and Scientific Research. IEEE Internet Computing 13(5), 10–13 (2009)
Careglio, C., Monge, D., Pacini, E., Mateos, C., Mirasso, A., García Garino, C.: Sensibilidad de resultados del ensayo de tracción simple frente a diferentes tamaños y tipos de imperfecciones. Mecánica Computacional XXIX, 4181–4197 (2010)
Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C., Buyya, R.: Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software - Practice and Experience 41, 23–50 (2011)
Gropp, W., Lusk, E., Skjellum, A.: Using MPI: Portable Parallel Programming with the Message Passing Interface. MIT Press (1994)
Erickson, J., Siau, K.: Web Service, Service-Oriented Computing, and Service-Oriented Architecture: Separating hype from reality. Journal of Database Management 19, 42–54 (2008)
Wang, L., Tao, J., Kunze, M., Castellanos, A.C., Kramer, D., Karl, W.: Scientific cloud computing: Early definition and experience. In: 10th IEEE International Conference on High Performance Computing and Communications, pp. 825–830 (2008)
Alfano, G., Angelis, F.D., Rosati, L.: General Solution procedures in elasto-viscoplasticity. Computer Methods in Applied Mechanics and Engineering 190, 5123–5147 (2001)
García Garino, C., Oliver, J.: Un modelo constitutivo para el análisis de sólidos elastoplásticos sometidos a grandes deformaciones: Parte I formulación teórica y aplicación a metales. Revista internacional de métodos numéricos para cálculo y diseño en ingeniería 11, 105–122 (1995) (in Spanish)
Ponthot, J., García Garino, C., Mirasso, A.: Large strain viscoplastic constitutive model. Theory and numerical scheme. Mecánica Computacional XXIV, 441–454 (2005)
García Garino, C., Gabaldón, F., Goicolea, J.M.: Finite element simulation of the simple tension test in metals. Finite Elements in Analysis and Design 42, 1187–1197 (2006)
Pacini, E., Mateos, C., García Garino, C.: Planificadores basados en inteligencia colectiva para experimentos de simulación numérica en entornos distribuidos. In: Sexta Edición del Encuentro de Investigadores y Docentes de Ingeniería ENIDI 2011 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pacini, E., Ribero, M., Mateos, C., Mirasso, A., Garino, C.G. (2012). Simulation on Cloud Computing Infrastructures of Parametric Studies of Nonlinear Solids Problems. In: Cipolla-Ficarra, F., Veltman, K., Verber, D., Cipolla-Ficarra, M., Kammüller, F. (eds) Advances in New Technologies, Interactive Interfaces and Communicability. ADNTIIC 2011. Lecture Notes in Computer Science, vol 7547. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34010-9_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-34010-9_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34009-3
Online ISBN: 978-3-642-34010-9
eBook Packages: Computer ScienceComputer Science (R0)