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dc.contributor.author | Palanca Cámara, Javier | es_ES |
dc.contributor.author | Navarro Llácer, Martín | es_ES |
dc.contributor.author | García-Fornes, A | es_ES |
dc.contributor.author | Julian Inglada, Vicente Javier | es_ES |
dc.date.accessioned | 2014-01-13T11:28:56Z | |
dc.date.issued | 2013-01 | |
dc.identifier.issn | 0167-739X | |
dc.identifier.uri | http://hdl.handle.net/10251/34867 | |
dc.description.abstract | This paper describes a scheduling algorithm that composes a scheduling plan which is able to predict the completion time of the arriving tasks. This is done by performing CPU booking. This prediction is used to establish a temporal commitment with the client that invokes the execution of the task. This kind of scheduler is very useful in scenarios where Service-Oriented Computing is deployed and the execution time is used as a parameter for QoS. This scheduler is part of an architecture that is based on the Distributed Goal-Oriented Computing paradigm, which allows agents to express their own goals and to reach them by means of service compositions. Moreover, the scheduler is also able to prioritize those tasks which provide greater benefits to the OS. In this work, the scheduler has been designed in several iterations and tested by means of a set of experiments that compare the scheduler algorithm with a representative set of scheduling algorithms. © 2012 Elsevier B.V. All rights reserved. | es_ES |
dc.description.sponsorship | This work is supported by the TIN2009-13839-C03-01 project of the Spanish government, PROMETEO/2008/051 project, FEDER funds and CONSOLIDER-INGENIO 2010 under grant CSD2007-00022. | en_EN |
dc.format.extent | 13 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Future Generation Computer Systems | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Guaranteed processor | es_ES |
dc.subject | Service-oriented computing | es_ES |
dc.subject | Scheduling | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Deadline Prediction Scheduling based on Benefits | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.future.2012.05.007 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2009-13839-C03-01/ES/Organizaciones Virtuales Adaptativas: Arquitecturas Y Metodos De Desarrollo/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO08%2F2008%2F051/ES/Advances on Agreement Technologies for Computational Entities (atforce)/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MEC//CSD2007-00022/ES/Agreement Technologies/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Palanca Cámara, J.; Navarro Llácer, M.; García-Fornes, A.; Julian Inglada, VJ. (2013). Deadline Prediction Scheduling based on Benefits. Future Generation Computer Systems. 29(1):61-73. https://doi.org/10.1016/j.future.2012.05.007 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.future.2012.05.007 | es_ES |
dc.description.upvformatpinicio | 61 | es_ES |
dc.description.upvformatpfin | 73 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 29 | es_ES |
dc.description.issue | 1 | es_ES |
dc.relation.senia | 222704 | |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Ministerio de Educación y Ciencia | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |