caa a22 4500 44585183X CHVBK 20180317145415.0 cr unu---uuuuu 170323e20111101xx s 000 0 eng 10.1007/s11227-009-0352-z doi (NATIONALLICENCE)springer-10.1007/s11227-009-0352-z Web services based scheduling in OpenCF [Elektronische Daten] [A. Santos, F. Almeida, V. Blanco, J. Castillo] Cloud Computing is emerging as a new computing paradigm which aims to provide reliable, customized and QoS guaranteed dynamic computing environments for end users. The availability of these large, virtualized pools of computing resources raises the possibility of a new computing paradigm for scientific research with many advantages. For research groups, Cloud Computing provides convenient access to reliable, high-performance clusters and storage without the need to purchase and maintain sophisticated hardware. For developers, virtualization allows scientific codes to be optimized and pre-installed on machine images, facilitating control over the computational environment. In these large-scale, heterogeneous and dynamic systems, the efficient execution of parallel computations can require mappings of tasks to computing resources whose performance is both irregular (because of heterogeneity) and variable in time (because of dynamicity). This paper introduces our initial experience with Cloud Computing based on a Python implementation of our OpenCF framework. We propose to show the features provided by OpenCF using the Google Application Engine as a proof of concept. Springer Science+Business Media, LLC, 2009 Web services nationallicence Cloud Computing nationallicence High performance computing nationallicence Santos A. Dpto. Estadística, .I.O. y Computación, Universidad de La Laguna, S/C de Tenerife, Spain aut Almeida F. Dpto. Estadística, .I.O. y Computación, Universidad de La Laguna, S/C de Tenerife, Spain aut Blanco V. Dpto. Estadística, .I.O. y Computación, Universidad de La Laguna, S/C de Tenerife, Spain aut Castillo J. Dpto. Estadística, .I.O. y Computación, Universidad de La Laguna, S/C de Tenerife, Spain aut The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/2(2011-11-01), 168-176 0920-8542 58:2<168 2011 58 11227 https://doi.org/10.1007/s11227-009-0352-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11227-009-0352-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Santos A. Dpto. Estadística, .I.O. y Computación, Universidad de La Laguna, S/C de Tenerife, Spain aut NATIONALLICENCE 700 1- Almeida F. Dpto. Estadística, .I.O. y Computación, Universidad de La Laguna, S/C de Tenerife, Spain aut NATIONALLICENCE 700 1- Blanco V. Dpto. Estadística, .I.O. y Computación, Universidad de La Laguna, S/C de Tenerife, Spain aut NATIONALLICENCE 700 1- Castillo J. Dpto. Estadística, .I.O. y Computación, Universidad de La Laguna, S/C de Tenerife, Spain aut NATIONALLICENCE 773 0- The Journal of Supercomputing Springer US; http://www.springer-ny.com 58/2(2011-11-01), 168-176 0920-8542 58:2<168 2011 58 11227 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer