A Data-Aware Scheduling Strategy for DMCF workflows over Hercules

Marozzo, Fabrizio; Carretero Pérez, Jesús; Rodrigo Duro, Francisco José; García Blas, Javier; Talia, Domenico; Trunfio, Paolo

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A Data-Aware Scheduling Strategy for DMCF workflows over Hercules

Author(s): Marozzo, Fabrizio; Carretero Pérez, Jesús; Rodrigo Duro, Francisco José; García Blas, Javier; Talia, Domenico; Trunfio, Paolo

Contributor: Universidad Carlos III de Madrid. Computer Architecture, Communications and Systems Group (ARCOS)

Editor: Carretero Pérez, Jesús
García Blas, Javier
Margenov, Svetozar

Issued date: 2016-10-06

Citation: Carretero Pérez, Jesús; et.al. (eds.). (2016) Proceedings of the Third International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2016): Sofia, Bulgaria. Universidad Carlos III de Madrid, pp. 37-44.

ISBN: 978-84-617-7450-0

Sponsor: This work is partially supported by EU under the COST Program Action IC1305: Network for Sustainable Ultrascale Computing (NESUS).

Keywords: DMCF , Hercules , Workflows , In-memory storage , Data cache , Microsoft Azure , Data locality

URI: http://hdl.handle.net/10016/24234

Abstract:

As data-intensive scientific prevalence arises, there is a necessity of simplifying the development, deployment, and execution of complex data analysis applications. The Data Mining Cloud Framework is a service-oriented system for allowing users to design and [+]