ABSTRACT: Infrastructure-as-a-service (IaaS) cloud computing (sometimes also called "infrastructure cloud computing") has recently emerged as a promising outsourcing paradigm; it has been widely embraced commercially and is also beginning to make inroads in scientific communities. Although popular, the understanding of its benefits, challenges, modes of use, and general applicability as an outsourcing paradigm for science is still in its infancy, which gives rise to many myths and misconceptions. Without specific and accurate information, it is hard for the scientific communities to understand whether this new paradigm is worthwhile – and if so, how to best develop, leverage, and invest in it. Our objective in this tutorial is to facilitate the introduction to infrastructure cloud computing to scientific communities and provide accurate and up-to-date information about features that could affect its use in science: to conquer myths, highlight opportunities, and equip the attendees with a better understanding of the relevance of cloud computing to their scientific domains. To this end, we have developed a tutorial that mixes the discussion of various aspects of cloud computing for science, such as performance, privacy, and standards, with practical exercises using infrastructure clouds and state-of-the-art tools. We will be using FutureGrid clouds for the examples.
REQUIRES: Laptop, SSH
PREREQUISITES: Linux experience
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