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Early Cloud Experiences with the Kepler Scientific Workflow System
Author(s) -
Jianwu Wang,
İlkay Altıntaş
Publication year - 2012
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2012.04.179
Subject(s) - cloud computing , kepler , computer science , workflow , popularity , set (abstract data type) , work (physics) , resource (disambiguation) , virtual machine , world wide web , data science , database , operating system , physics , programming language , stars , computer vision , psychology , social psychology , computer network , thermodynamics
With the increasing popularity of the Cloud computing, there are more and more requirements for scientic work–ows to utilize Cloud resources. In this paper, we present our preliminary work and experiences on enabling the interaction between the Kepler scientic workow system and the Amazon Elastic Compute Cloud (EC2). A set of EC2 actors and Kepler Amazon Machine Images are introduced with the discussion on their different usage modes. Through two bioinformatics usecases, we demonstrate the capability of our work for both Cloud resource coordination and workow execution on virtual Cloud resources

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