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About

Vitor Rocio has a PhD in Computer Science (Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2002). He is an associate professor at Universidade Aberta, and from 2012, is the pro-rector for the Virtual Campus. His main research interests are human language technologies, automatic processing of natural languages, evolutive parsing systems, logic programming, and e-learning technologies.

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Topics
Details

Details

  • Name

    Vitor Rocio
  • Cluster

    Computer Science
  • Role

    Affiliated Researcher
  • Since

    01st May 2014
Publications

2021

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

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

Publication
Communications in Computer and Information Science - Technology and Innovation in Learning, Teaching and Education

Abstract

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]

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

Publication
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

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

Publication
Advances in Intelligent Systems and Computing

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

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

Publication
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

Job Scheduling in Fog Paradigm - A Proposal of Context-aware Task Scheduling Algorithms

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

Publication
2020 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY SYSTEMS AND INNOVATION (ICITSI)

Abstract
According to the author's knowledge task scheduling in fog paradigm is highly complex and in the literature there are still few studies on it. In the cloud architecture, it is widely studied and in many researches, it is approached from the perspective of service providers. 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.

Supervised
thesis

2019

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

Author
Carlos Eduardo Ferrão de Azevedo

Institution
UAB

2019

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

Author
Celestino Lopes de Barros

Institution
UAB

2018

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

Author
Celestino Lopes de Barros

Institution
UTAD

2018

Aplicação móvel para o modelo pedagógico virtual da Universidade Aberta

Author
Nuno Miguel Bizarro Carvalho

Institution
UAb