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Sobre

Sobre

Vitor Rocio é doutorado em Informática pela Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Portugal (2002), e Licenciado em Engenharia Informática pela FCT-UNL, Portugal (1993). É professor associado da Universidade Aberta, e desde 2012, pró-reitor para o Campus Virtual.

Os seus principais interesses de investigação são as tecnologias das linguagens humanas, o processamento automático de línguas naturais, os sistemas de análise sintáctica evolutivos, a programação em lógica, e as tecnologias de elearning. http://scholar.google.pt/citations?hl=en&user=i6ilsfYAAAAJ

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Vitor Rocio
  • Cargo

    Investigador Sénior
  • Desde

    01 maio 2014
001
Publicações

2022

Proposal of a Context-aware Task Scheduling Algorithm for the Fog Paradigm

Autores
Barros, C; Rocio, V; Sousa, A; Paredes, H; Teixeira, O;

Publicação
2022 SEVENTH INTERNATIONAL CONFERENCE ON FOG AND MOBILE EDGE COMPUTING, FMEC

Abstract
Application execution requests in cloud architecture and fog paradigm are generally heterogeneous in terms of contexts at the device and application level. The scheduling of requests in these architectures is an optimization problem with multiple constraints. Despite numerous efforts, task scheduling in these architectures and paradigms still presents some enticing challenges that make us question how tasks are routed between different physical devices, fog, and cloud nodes. The fog is defined as an extension of the cloud, which provides processing, storage, and network services near the edge network, and due to the density and heterogeneity of devices, the scheduling is very complex, and, in the literature, we still find few studies. Trying to bring innovative contributions in these areas, in this paper, we propose a solution to the context-aware task-scheduling problem for fog paradigm. In our proposal, different context parameters are normalized through Min-Max normalization, requisition priorities are defined through the application of the Multiple Linear Regression (MLR) technique and scheduling is performed using Multi-Objective Non-Linear Programming Optimization (MONLIP) technique. The results obtained from simulations in the iFogSim toolkit, show that our proposal performs better compared to the non-context-aware proposals.

2021

Task scheduling in the fog computing paradigm: Proposal of a context-aware model and evaluation of its performance [Escalonamento de pedidos no paradigma fog computing: Proposta de um modelo sensível ao contexto e avaliação do seu desempenho]

Autores
Barros, C; Rocio, V; Sousa, A; Paredes, H;

Publicação
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao

Abstract
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.

2020

Context-Aware Mobile Applications in Fog Infrastructure: A Literature Review

Autores
Barros, C; Rocio, V; Sousa, A; Paredes, H;

Publicação
Trends and Innovations in Information Systems and Technologies - Volume 2, WorldCIST 2020, Budva, Montenegro, 7-10 April 2020.

Abstract
Today’s cloud computing techniques are becoming unsustainable for real time applications as very low latency is required with billions of connected devices. New paradigms are arising; the one that offers an integrated solution for extending cloud resources to the edge of the network and addresses current cloud issues is Fog Computing. Performing Fog Computing brings a set of challenges such as: provisioning edge nodes to perform task volumes downloaded from the Cloud; placing task volumes on edge nodes; resource management on edge nodes; need for a new programming model; programming, resource management, data consistency service discovery challenges; privacy and security and improving the quality of service (QoS) and user experience (QoE). This paper aims at introducing the Fog Computing concept and it presents a literature review on the way it is applied: context-sensitive applications and context-sensitive mobile service platforms. The result of the study is presented as the current research challenges for context aware mobile applications in Fog Computing infrastructure. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.

2020

Survey on Job Scheduling in Cloud-Fog Architecture

Autores
Barros, C; Rocio, V; Sousa, A; Paredes, H;

Publicação
2020 15TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2020)

Abstract
Application execution required in cloud and fog architectures are generally heterogeneous in terms of device and application contexts. Scaling these requirements on these architectures is an optimization problem with multiple restrictions. Despite countless efforts, task scheduling in these architectures continue to present some enticing challenges that lead us to question how tasks are routed between different physical devices, fog nodes and cloud. In fog, due to its density and heterogeneity of devices, the scheduling is very complex and, in the literature, there are still few studies that have been conducted. However, scheduling in the cloud has been widely studied. Nonetheless, many surveys address this issue from the perspective of service providers or optimize application quality of service (QoS) levels. Also, they ignore contextual information at the level of the device and end users and their user experiences. In this paper, we conducted a review of the literature on the main task scheduling algorithms in cloud and fog architecture; we studied and discussed their limitations, and we also explored and suggested some perspectives for improvement.

2020

Using BPMN to Identify Indicators for Teacher Intervention in Support of Self-regulation and Co-regulation of Learning in Asynchronous e-learning

Autores
Morais, C; Pedrosa, D; Rocio, V; Cravino, J; Morgado, L;

Publicação
Technology and Innovation in Learning, Teaching and Education - Second International Conference, TECH-EDU 2020, Vila Real, Portugal, December 2-4, 2020, Proceedings, 3

Abstract
We used BPMN diagrams to identify indicators that can assist teachers in their intervention actions to support students' self-regulation and co-regulation in an asynchronous e-learning context. The use of BPMN modeling, by making explicit the tasks and procedures implicit in the intervention of the e-learning teacher, also exposed which data were available for developing decision-support indicators, as well as the relevant moments for carrying out interventions. Such indicators can help e-learning teachers focus their interventions to support self-regulation and co-regulation of learning, as well as enabling the creation of live data dashboards to support decision-making for those interventions, thus this process can contribute to devise better instruments for teacher intervention in support of self-regulation and co-regulation of student learning. © 2021, Springer Nature Switzerland AG.

Teses
supervisionadas

2023

Human-Machine Cooperation for Machine Translation with OpenAI

Autor
Manuel Luís Fernandes Carvalho,

Instituição
UAB

2019

Wizard user: um agente inteligente na otimização de processos de ensino-aprendizagem online

Autor
Carlos Eduardo Ferrão de Azevedo

Instituição
UAB

2019

Estudo da utilização da arquitetura Fog Computing para a criação de soluções sensíveis ao contexto

Autor
Celestino Lopes de Barros

Instituição
UAB

Estudo da utilização da arquitetura Fog Computing para a criação de soluções sensíveis ao contexto

Autor
Celestino Lopes de Barros

Instituição
UAb

Aplicação móvel para o modelo pedagógico virtual da Universidade Aberta

Autor
Nuno Miguel Bizarro Carvalho

Instituição
UAb