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Cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds
2012
2012 International Conference for High Performance Computing, Networking, Storage and Analysis
Large-scale applications expressed as scientific workflows are often grouped into ensembles of inter-related workflows. In this paper, we address a new and important problem concerning the efficient management of such ensembles under budget and deadline constraints on Infrastructure-as-a-Service (IaaS) clouds. We discuss, develop, and assess algorithms based on static and dynamic strategies for both task scheduling and resource provisioning. We perform the evaluation via simulation using a set
doi:10.1109/sc.2012.38
dblp:conf/sc/MalawskiJDN12
fatcat:xb7iqpkfl5avldpoipuhmjvki4