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Resource Renting for Periodical Cloud Workflow Applications

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Resource Renting for Periodical Cloud Workflow Applications

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Chen, L.; Li, X.; Ruiz García, R. (2020). Resource Renting for Periodical Cloud Workflow Applications. IEEE Transactions on Services Computing. 13(1):130-143. https://doi.org/10.1109/TSC.2017.2677450

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/168945

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Title: Resource Renting for Periodical Cloud Workflow Applications
Author: Chen, Long Li, Xiaoping Ruiz García, Rubén
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
[EN] Cloud computing is a new resource provisioning mechanism, which represents a convenient way for users to access different computing resources. Periodical workflow applications commonly exist in scientific and business ...[+]
Subjects: Cloud computing , Processor scheduling , Scheduling , Schedules , Quality of service , Minimization , Partitioning algorithms , Resource allocation , Long-term resources renting , Periodical multiple workflows
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Services Computing. (eissn: 1939-1374 )
DOI: 10.1109/TSC.2017.2677450
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TSC.2017.2677450
Project ID:
NSFC/61572127
NSFC/61272377
info:eu-repo/grantAgreement/MINECO//DPI2015-65895-R/ES/OPTIMIZATION OF SCHEDULING PROBLEMS IN CONTAINER YARDS/
Jiangsu Province Key Research and Development, China/BE2015728
Thanks:
This work is supported by the National Natural Science Foundation of China (No. 61572127, 61272377), the Key Research & Development program in Jiangsu Province (No. BE2015728) and Collaborative Innovation Center of Wireless ...[+]
Type: Artículo

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