Efficient Auto Scaling and Cost-Effective Architecture in Apache Hadoop

dc.contributor.authorNEMOUCHI, Warda Ismahene
dc.contributor.authorBOUDOUDA, Souheila
dc.contributor.authorZAROUR, Nacer eddine
dc.date.accessioned2022-04-12T12:41:20Z
dc.date.available2022-04-12T12:41:20Z
dc.date.issued2022-01-24
dc.descriptionForum Intervention of Artificial Intelligence and Its Applications. Faculty of Exat science. University of Eloueden_US
dc.description.abstractIn the age of Big Data Analytics, Cloud Computing has been regarded as a feasible and applicable technology to address Big Data Challenges, from storage capacities to distributed processing computations. One of the keys of its success is its high scalability which refers to the ability of the system to increase its performance, resources and functionalities according to the workload. This flexibility has been seen as an appropriate way to decrease datacenters' energy consumption and thus assures cost-saving and efficiency without effecting performance of the system. In order to handle Big Data operations, Cloud Computing has implemented various platforms and tools such as Apache Hadoop and provides distributed processing of very large data sets across multiple clusters. This paper proposes an auto scaling architecture based on the framework of Hadoop; it adjusts automatically the computation resources depending on the workload. In order to validate the effectiveness of the proposed architecture, a case study about Twitter data analysis in a cloud simulated environment has been implemented to improve the cost-effectiveness and the efficiency of the system.en_US
dc.identifier.citationNEMOUCHI, Warda Ismahene, BOUDOUDA, Souheila. ZAROUR, Nacer eddine. Efficient Auto Scaling and Cost-Effective Architecture in Apache Hadoop. Forum of Artificial Intelligence and Its Applications. 24-26 Jan 2022. Faculty of Exat science. University of Eloued. [visited in ../../….]. available from [copy the link here]en_US
dc.identifier.urihttp://dspace.univ-eloued.dz/handle/123456789/10796
dc.language.isoenen_US
dc.publisherUniversity of Eloued جامعة الواديen_US
dc.subjectBig Data, Cloud Computing, Apache Hadoop, Auto Scaling.en_US
dc.titleEfficient Auto Scaling and Cost-Effective Architecture in Apache Hadoopen_US
dc.typeOtheren_US

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