文章基本信息

标题：Escalonamento de pedidos no paradigma Fog Computing: proposta de um modelo sensível ao contexto e avaliação do seu desempenho
本地全文：下载
作者：Celestino Barros ; Vítor Rocio ; André Sousa 等
期刊名称：RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação
印刷版ISSN：1646-9895
出版年度：2021
期号：42
DOI：10.17013/risti.42.93-119
语种：Portuguese
出版社：Associação Ibérica de Sistemas e Tecnologias de Informação (AISTI)
摘要：Application execution requests in cloud architecture and fog paradigm are generally heterogeneous and scheduling in these architectures is an optimization problem with multiple constraints. In this paper, we conducted a survey on the related works on scheduling in cloud architecture and fog paradigm, we identify their limitations, we explore some prospects for improvements and we propose a context-aware scheduling model for fog paradigm. The proposed solution uses Min-Max normalization, to solve heterogeneity and normalize the different context parameters. The priority of requests is set by applying the Multiple Linear Regression analysis technique and the scheduling is done using the Multiobjective Nonlinear Programming Optimization technique. The results obtained from simulations on iFogSim toolkit, show that our proposal performs better compared to the non-context-aware proposals.
关键词：context-aware; quality of experience; context-aware task scheduling; scheduling model; cloud architecture and fog paradigm