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dc.contributor.author | Chen, Long![]() |
es_ES |
dc.contributor.author | Li, Xiaoping![]() |
es_ES |
dc.contributor.author | Guo, Yucheng![]() |
es_ES |
dc.contributor.author | Ruiz García, Rubén![]() |
es_ES |
dc.date.accessioned | 2022-09-14T18:04:49Z | |
dc.date.available | 2022-09-14T18:04:49Z | |
dc.date.issued | 2021-09 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/186046 | |
dc.description.abstract | [EN] In cloud computing, reserved and on-demand instances are generally provided by service providers. Hybridization of the two alternatives can considerably save costs when renting resources from the cloud. However, it is a big challenge to determine the appropriate amount of reserved and on-demand resources in terms of users' requirements. In this paper, the workflow scheduling problem with both reserved and on-demand instances is considered. The objective is to minimize the total rental cost under deadline constrains. The considered problem is mathematically modeled. A multiple sequence-based earliest finish time method is proposed to construct schedules for the workflows. Four different rules are used to generate initial task allocation sequences. Types and quantities of resources are determined by a free time block-based schedule construction mechanism. New sequences are generated by a variable neighborhood search method. Experimental and statistical analyses and results demonstrate that the proposed algorithm algorithm generates considerable cost savings when compared to the algorithms with only on-demand or reserved instances. | es_ES |
dc.description.sponsorship | l This work is supported by the National Key Research and Development Program of China (No. 2017YFB1400801), the National Natural Science Foundation of China (Nos. 61572127, 61872077, 61832004) and Collaborative Innovation Center of Wireless Communications Technology. Rub~en Ruiz is supported by the Spanish Ministry of Economy and Competitiveness, under the project "SCHEYARD-Optimization of scheduling problems in container yards" (No. DPI2015-65895-R) partly financed with FEDER funds. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | es_ES |
dc.relation.ispartof | IEEE Transactions on Cloud Computing | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Workflow scheduling | es_ES |
dc.subject | Cloud computing | es_ES |
dc.subject | Hybrid resource provisioning | es_ES |
dc.subject | Malleable task | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | Hybrid resource provisioning for cloud workflows with malleable and rigid tasks | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1109/TCC.2019.2894836 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DPI2015-65895-R/ES/OPTIMIZATION OF SCHEDULING PROBLEMS IN CONTAINER YARDS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NSFC//61832004/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NSFC//61872077/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/NSFC//61572127/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/National Key Research and Development Program of China//2017YFB1400801/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat | es_ES |
dc.description.bibliographicCitation | Chen, L.; Li, X.; Guo, Y.; Ruiz García, R. (2021). Hybrid resource provisioning for cloud workflows with malleable and rigid tasks. IEEE Transactions on Cloud Computing. 9(3):1089-1102. https://doi.org/10.1109/TCC.2019.2894836 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/TCC.2019.2894836 | es_ES |
dc.description.upvformatpinicio | 1089 | es_ES |
dc.description.upvformatpfin | 1102 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 9 | es_ES |
dc.description.issue | 3 | es_ES |
dc.identifier.eissn | 2168-7161 | es_ES |
dc.relation.pasarela | S\444956 | es_ES |
dc.contributor.funder | MINISTERIO DE ECONOMIA Y EMPRESA | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | National Natural Science Foundation of China | es_ES |
dc.contributor.funder | National Key Research and Development Program of China | es_ES |