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Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Fernando Silva
  • Cargo

    Investigador Coordenador
  • Desde

    01 janeiro 2009
005
Publicações

2023

Jay: A software framework for prototyping and evaluating offloading applications in hybrid edge clouds

Autores
Silva, J; Marques, ERB; Lopes, LMB; Silva, FMA;

Publicação
SOFTWARE-PRACTICE & EXPERIENCE

Abstract
We present Jay, a software framework for offloading applications in hybrid edge clouds. Jay provides an API, services, and tools that enable mobile application developers to implement, instrument, and evaluate offloading applications using configurable cloud topologies, offloading strategies, and job types. We start by presenting Jay's job model and the concrete architecture of the framework. We then present the programming API with several examples of customization. Then, we turn to the description of the internal implementation of Jay instances and their components. Finally, we describe the Jay Workbench, a tool that allows the setup, execution, and reproduction of experiments with networks of hosts with different resource capabilities organized with specific topologies. The complete source code for the framework and workbench is provided in a GitHub repository.

2023

MHVG2MTS: Multilayer Horizontal Visibility Graphs for Multivariate Time Series Analysis

Autores
Silva, VF; Silva, ME; Ribeiro, P; Silva, FMA;

Publicação
CoRR

Abstract

2023

Multilayer Quantile Graph for Multivariate Time Series Analysis and Dimensionality Reduction

Autores
Silva, VF; Silva, ME; Ribeiro, P; Silva, FMA;

Publicação
CoRR

Abstract

2022

Network Science - 7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8-11, 2022, Proceedings

Autores
Ribeiro, P; Silva, F; Ferreira Mendes, JF; Laureano, RD;

Publicação
NetSci-X

Abstract

2022

Preface

Autores
Ribeiro, P; Silva, F; Mendes, JF; Laureano, R;

Publicação
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract

Teses
supervisionadas

2021

A Predictive Analysis of Academic Success at Universidade do Porto

Autor
Rafael António Belokurows

Instituição
UP-FCUP

2021

Beyond Distributed Transactions through Exactly-once Exchanges

Autor
Ziad Ali Kassam

Instituição
UM

2021

Adaptive Computation Offloading in Mobile Edge Clouds

Autor
Joaquim Magalhães Esteves da Silva

Instituição
UP-FCUP

2021

Uma solução de Business Intelligence para a área de recursos humanos da U.Porto

Autor
Solange Sampaio Perdigão

Instituição
UP-FCUP

2021

Towards Measuring Scientific Impact Using Network Science

Autor
Jorge Miguel Barros da Silva

Instituição
UP-FCUP