Abstract
Cloud computing has a huge potential to change the way data- and computing-intensive applications are performing computations. These specific categories of applications raise different concerns and issues that can be bypassed by identifying relevant reusable cloud computing patterns, on the top of specific cloud computing use cases. Development of new cloud patterns will help offering a better support for the development and deployment of scientific distributed application over a cloud infrastructure. © 2012 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Fortiş, T. F., Lopez, G. E., Cruz, I. P., Ferschl, G., & Máhr, T. (2012). Cloud patterns for mOSAIC-enabled scientific applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7155 LNCS, pp. 83–93). Springer Verlag. https://doi.org/10.1007/978-3-642-29737-3_10
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