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With the proliferation of Web Services, scientific applications are more and more designed as temporal composition of services, commonly referred to as, workflows. To address this paradigm shift, different workflow management systems have been proposed. If their efficiency has been established over centralized reliable systems, it is questionable over highly decentralized failure-prone platforms. Scientific applications started to be deployed over emerging clouds, leading to new issues, likedoi:10.1109/escience.2011.14 dblp:conf/eScience/FernandezTP11 fatcat:cxycbfu5xjbmri4d323cablfty