Titulo Estágio
Distributed Data Reduction for Large-Scale IoT
Áreas de especialidade
Comunicações, Serviços e Infraestruturas
Engenharia de Software
Local do Estágio
DEI/CISUC
Enquadramento
Internet of Things (IoT) devices generate vast amounts of data, leading to challenges in data storage, processing, and transmission. Distributed data reduction has emerged as a promising approach to address these challenges, especially in large-scale IoT environments. This proposal aims to explore existing distributed data reduction models tailored for large-scale IoT networks, leveraging edge, fog, and cloud computing.
This research aims to compare distributed data reduction models that can operate in large-scale IoT settings while maintaining data integrity, quality, and reducing both network congestion and energy consumption.
Objetivo
- Compare scalable and distributed data techniques and models for large-scale IoT networks.
- Evaluate the performance of the proposed models in terms of data reduction ratio, energy efficiency, and data accuracy.
In addition, it is hoped that as a result of the work it will be possible to publish a scientific paper in an international conference or journal.
Plano de Trabalhos - Semestre 1
T1.1 – State-of-the-art analysis of the distributed data reduction techniques and models for IoT, leveraging edge, fog and cloud computing layers.
T1.2 – Specification of the methodology and metrics to be used in the evaluation.
T1.3 – Writing of the intermediary report.
Plano de Trabalhos - Semestre 2
T2.1 – Evaluation of the distributed data reduction models using simulation and/or real deployments.
T2.2 – Analysis and validation of the results obtained.
T2.3 – Thesis writing and submission of a scientific publication.
Condições
The student will have access to all the computer resources needed to carry out the work. Evaluation, either by simulation or using specific hardware, can be carried out using computer resources available in DEI/CISUC.
Observações
Dissertation advisors:
Vasco Pereira (vasco@dei.uc.pt)
Jorge Bernardino (jorge@isec.pt)
Orientador
Vasco Simões Pereira
vasco@dei.uc.pt 📩