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Energy-Constrained Provisioning for Scientific Workflow Ensembles
2013
2013 International Conference on Cloud and Green Computing
Large computational problems may often be modelled using multiple scientific workflows with similar structure. These workflows can be grouped into ensembles, which may be executed on distributed platforms such as the Cloud. In this paper, we focus on the provisioning of resources for scientific workflow ensembles and address the problem of meeting energy constraints along with either budget or deadline constraints. We propose and evaluate two energy-aware algorithms that can be used for
doi:10.1109/cgc.2013.14
dblp:conf/cgc/PietriMJDNS13
fatcat:344tx7xan5hblfyxldcccr4exa