Título :	FaaS-Oriented Node.js applications in an RPC approach using the Node2FaaS framework
Autor :	Carvalho, Leonardo Rebouças de Araújo, Aletéia Patricia Favacho de
metadata.dc.identifier.orcid:	https://orcid.org/0000-0001-7459-281X https://orcid.org/0000-0003-4645-6700
metadata.dc.contributor.affiliation:	University of Brasília, Department of Computer Science University of Brasília, Department of Computer Science
Assunto::	Computação em nuvem Modelação computacional Software Linux (Sistema operacional de computador) Java (Linguagem de programação de computador) Python (Sistema operacional de computador)
Fecha de publicación :	2023
Editorial :	IEEE
Citación :	CARVALHO, Leonardo Rebouças de; ARAÚJO, Aletéia Patricia Favacho de. FaaS-Oriented Node.js applications in an RPC approach using the Node2FaaS framework. IEEE Access, [S. l.], v. 11, 2023. DOI: https://doi.org/10.1109/ACCESS.2023.3322936. Disponível em: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10273986. Acesso em: 31 jan. 2024.
Abstract:	The Function-as-a-Service (FaaS) service model has aroused great interest since its introduction in the context of cloud computing. Although FaaS can be used to perform isolated tasks, it is in the composition of applications that this service model can promote significant performance improvements. This work presents an evolution in the Node2FaaS framework, whose objective is to assist in the conversion of originally monolithic node.js applications to work with FaaS in the Remote Procedure Call (RPC) communication mechanism. The new implementations in the Node2FaaS framework allowed new experiments to be conducted. Those showed significant gains in runtime for applications with CPU-bound, memory-bound, I/O-bound characteristics, especially for a Bioinformatics application that aims to align genetic sequences.
metadata.dc.description.unidade:	Instituto de Ciências Exatas (IE) Departamento de Ciência da Computação (IE CIC)
metadata.dc.description.ppg:	Programa de Pós-Graduação em Informática
Licença::	© 2023 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/
DOI:	https://doi.org/10.1109/ACCESS.2023.3322936
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