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A framework and a performance assessment for serverless MapReduce on AWS Lambda

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A framework and a performance assessment for serverless MapReduce on AWS Lambda

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Giménez-Alventosa, V.; Moltó, G.; Caballer Fernández, M. (2019). A framework and a performance assessment for serverless MapReduce on AWS Lambda. Future Generation Computer Systems. 97:259-274. https://doi.org/10.1016/j.future.2019.02.057

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/139362

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Title: A framework and a performance assessment for serverless MapReduce on AWS Lambda
Author: Giménez-Alventosa, Vicent Moltó, Germán Caballer Fernández, Miguel
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular
Issued date:
Embargo end date: 2021-09-01
Abstract:
[EN] MapReduce is one of the most widely used programming models for analysing large-scale datasets, i.e. Big Data. In recent years, serverless computing and, in particular, Functions as a Service (FaaS) has surged as an ...[+]
Subjects: MapReduce , Serverless , Cloud computing , Elasticity
Copyrigths: Embargado
Source:
Future Generation Computer Systems. (issn: 0167-739X )
DOI: 10.1016/j.future.2019.02.057
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.future.2019.02.057
Thanks:
This study was supported by the program "Ayudas para la contratacion de personal investigador en formacion de caracter pre-doctoral, programa VALid-d" under grant number ACIF/2018/148 from the Conselleria d'Educacio of the ...[+]
Type: Artículo

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