RT Conference Proceedings T1 Bi-objective Workflow Scheduling in Production Clouds: Early Simulation Results and Outlook A1 Durillo, Juan J. A1 Prodan, Radu A1 Camarasu-Pop, Sorina A1 Glattard, Tristan A1 Suter, Frédéric A2 Carretero Pérez, Jesús A2 García Blas, Javier A2 Barbosa, Jorge A2 Morla, Ricardo A2 Universidad Carlos III de Madrid. Computer Architecture, Communications and Systems Group (ARCOS) AB We present MOHEFT, a multi-objective list scheduling heuristic that provides the user with a set of Pareto tradeoff optimal solutions from which the one that better suits the user requirements can be manually selected. We demonstrate the potential of our method for multi-objective workflow scheduling on the commercial Amazon EC2 Cloud by comparing the quality of the MOHEFT tradeoff solutions with a state-of-the-artmulti-objective approach called SPEA2* for three types of synthetic workflows with different parallelism and load balancing characteristics. We conclude with an outlook into future research towards closing the gap between the scientific simulation and real-world experimentation. SN 978-84-617-2251-8 YR 2014 FD 2014-11 LK https://hdl.handle.net/10016/21872 UL https://hdl.handle.net/10016/21872 LA eng NO Proceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014). Porto (Portugal), August 27-28, 2014. NO The work presented in this paper has been partially supported by EU under the COST programme Action IC1305, Network for Sustainable Ultrascale Computing (NESUS). DS e-Archivo RD 17 jul. 2024