Different aspects of workflow scheduling in large-scale distributed systems

Stavrinides, Georgios L.; Rodrigo Duro, Francisco José; Karatza, Helen D.; García Blas, Francisco Javier; Carretero Pérez, Jesús

Publication:
Different aspects of workflow scheduling in large-scale distributed systems

dc.affiliation.dpto	UC3M. Departamento de Informática	es
dc.affiliation.grupoinv	UC3M. Grupo de Investigación: Arquitectura de Computadores, Comunicaciones y Sistemas	es
dc.contributor.author	Stavrinides, Georgios L.
dc.contributor.author	Rodrigo Duro, Francisco José
dc.contributor.author	Karatza, Helen D.
dc.contributor.author	García Blas, Francisco Javier
dc.contributor.author	Carretero Pérez, Jesús
dc.contributor.funder	European Commission	en
dc.date.accessioned	2022-05-27T11:19:44Z
dc.date.available	2022-05-27T11:19:44Z
dc.date.issued	2017-01-01
dc.description.abstract	As large-scale distributed systems gain momentum, the scheduling of workflow applications with multiple requirements in such computing platforms has become a crucial area of research. In this paper, we investigate the workflow scheduling problem in large-scale distributed systems, from the Quality of Service (QoS) and data locality perspectives. We present a scheduling approach, considering two models of synchronization for the tasks in a workflow application: (a) communication through the network and (b) communication through temporary files. Specifically, we investigate via simulation the performance of a heterogeneous distributed system, where multiple soft real-time workflow applications arrive dynamically. The applications are scheduled under various tardiness bounds, taking into account the communication cost in the first case study and the I/O cost and data locality in the second.	en
dc.description.sponsorship	The work presented in this paper has been partially supported by EU, under the COST program Action IC1305, “Network for Sustainable Ultrascale Computing (NESUS)”, and by the Ministerio de Economía y Competitividad, Spain, under the project TIN2013-41350-P, “Scalable Data Management Techniques for High-End Computing Systems”.	en
dc.identifier.bibliographicCitation	Stavrinides, G.L., Rodrigo Duro, F., Karatza, H., García Blas, J., Carretero, J. (2017). Different aspects of workflow scheduling in large-scale distributed systems. Simulation Modelling Practice and Theory, 70, pp. 120-134.	en
dc.identifier.doi	https://doi.org/10.1016/j.simpat.2016.10.009
dc.identifier.issn	1569-190X
dc.identifier.publicationfirstpage	120
dc.identifier.publicationlastpage	134
dc.identifier.publicationtitle	SIMULATION MODELLING PRACTICE AND THEORY	en
dc.identifier.publicationvolume	70
dc.identifier.uri	https://hdl.handle.net/10016/34915
dc.identifier.uxxi	AR/0000018583
dc.language.iso	eng
dc.publisher	Elsevier	en
dc.relation.projectID	Gobierno de España. TIN2013-41350-P	es
dc.rights	© 2016 Elsevier B.V. All rights reserved.	en
dc.rights	Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRights	open access	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.eciencia	Informática	es
dc.subject.other	workflow scheduling	en
dc.subject.other	large-scale distributed systems	en
dc.subject.other	ultrascale systems	en
dc.subject.other	quality of service	en
dc.subject.other	data locality	en
dc.subject.other	real-time systems	en
dc.subject.other	utilizing imprecise computations	en
dc.subject.other	multiple task graphs	en
dc.subject.other	heterogeneous systems	en
dc.subject.other	performance	en
dc.title	Different aspects of workflow scheduling in large-scale distributed systems	en
dc.type	research article	*
dc.type.hasVersion	AM	*
dspace.entity.type	Publication