Cloud computing is becoming increasingly popular and prevalent in many domains. However, there is high variability in the programming models, access methods, and operational aspects of different clouds, diminishing the viability of cloud computing as a true utility. Our ADAPAS project attempts to analyze the commonalities and differences between cloud offerings with a view to determining the extent to which they may be unified. We propose the concept of dynamic adapters supported by runtime systems for environment preconditioning, that help facilitate cross platform deployment of cloud applications. This vision paper outlines the issues involved, and presents preliminary ideas for enhancing the executability of applications on different cloud platforms. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Slawinska, M., Slawinski, J., & Sunderam, V. (2012). Towards cross-platform cloud computing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7155 LNCS, pp. 5–14). Springer Verlag. https://doi.org/10.1007/978-3-642-29737-3_2
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