Colaborador:
Universidad Carlos III de Madrid. Computer Architecture, Communications and Systems Group (ARCOS)
Editor:
Carretero Pérez, Jesús García Blas, Javier Barbosa, Jorge Morla, Ricardo
Fecha de edición:
2014-11
Cita:
Carretero Pérez, Jesús; et.al. (eds.). (2014) Proceedings of the First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014): Porto, Portugal. Universidad Carlos III de Madrid, pp. 19-26.
ISBN:
978-84-617-2251-8
Agradecimientos:
The work presented in this paper has been partially supported by EU under the COST programme Action IC1305, Network for Sustainable Ultrascale Computing (NESUS).
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 methoWe 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-art
multi-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.[+][-]
Nota:
Proceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014). Porto (Portugal), August 27-28, 2014.
