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DRALBA: Dynamic and Resource Aware Load Balanced Scheduling Approach for Cloud Computing

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DRALBA: Dynamic and Resource Aware Load Balanced Scheduling Approach for Cloud Computing

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Nabi, S.; Ibrahim, M.; Jimenez, JM. (2021). DRALBA: Dynamic and Resource Aware Load Balanced Scheduling Approach for Cloud Computing. IEEE Access. 9:61283-61297. https://doi.org/10.1109/ACCESS.2021.3074145

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/183659

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Title: DRALBA: Dynamic and Resource Aware Load Balanced Scheduling Approach for Cloud Computing
Author: Nabi, Said Ibrahim, Muhammad Jimenez, Jose M.
UPV Unit: Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Issued date:
Abstract:
[EN] For the last few years, Cloud computing has been considered an attractive high-performance computing platform for individuals as well as organizations. The Cloud service providers (CSPs) are setting up data centers ...[+]
Subjects: Task analysis , Dynamic scheduling , Cloud computing , Processor scheduling , Heuristic algorithms , Time factors , Optimal scheduling , Task scheduling , Dynamic task scheduling , Scheduling heuristics , Tasks to VM mapping , Load imbalance
Copyrigths: Reconocimiento (by)
Source:
IEEE Access. (eissn: 2169-3536 )
DOI: 10.1109/ACCESS.2021.3074145
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/ACCESS.2021.3074145
Project ID:
info:eu-repo/grantAgreement/UPV//PAID-10-20/
Thanks:
This work was supported in part by the Universitat Politecnica de Valencia through the Post-Doctoral PAID-10-20 Program.
Type: Artículo

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