Banca de DEFESA: LEANDRO JOSE SILVA ANDRADE

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
DISCENTE : LEANDRO JOSE SILVA ANDRADE
DATA : 11/12/2020
HORA: 09:00
LOCAL: web conferencia
TÍTULO:

Data Interplay: a model to improve performance efficiency in the Internet of Things data

PALAVRAS-CHAVES:

Internet of Things, Fog Computing, Edge Computing, Performance efficiency, IoT data life cycle.

PÁGINAS: 123
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
ESPECIALIDADE: Sistemas de Informação
RESUMO:

The Internet of Things (IoT) has been playing an important role in the technology scenario due to its high potential and impact on different society segments. Estimates suggest a trend for an increase in the number of IoT devices connected to the Internet for the next few years. As a consequence, the volume of data produced by IoT devices will follow this growth perspective, and there will be a demand for systems that are able to process, store and promote access to large amounts of data. In the typical IoT system, the data collected from sensors is stored and processed in cloud servers; however, some IoT solutions use edge devices to perform actions, such as processing, storage and access, using only local infrastructure for low latency requirements. Fog Computing has been used to improve IoT solutions with the aim to transfer some of the complexity from the cloud to the edge of the network, i.e., closer to devices, applications and/or users, working as a kind of ``local and private cloud''. The cooperation of devices and applications between edge and cloud creates a need for an interplay to allow data flow among the layers of IoT systems deployed in the edge and the cloud. Thus, it is necessary to support the data life cycle since its collection, analysis and use. Performance efficiency is a quality factor of systems and software engineering, which measures ``performance relative to the amount of resources used under stated conditions''. In special, in IoT systems which involve a large volume of data, the performance efficiency of data interplay is a relevant requirement. This thesis proposes a data interplay model of Internet of Things to provide the definition and deployment of the IoT data life cycle, in collection, analytics and data use stages. This data interplay proposal aims to improve performance efficiency in the operations regarding the IoT data life cycle: collection, analytics and use among devices and applications in edge and cloud infrastructures.

MEMBROS DA BANCA:
Presidente - 1814369 - CASSIO VINICIUS SERAFIM PRAZERES
Interno - 2357676 - DANILO BARBOSA COIMBRA
Interno - 1850683 - MAYCON LEONE MACIEL PEIXOTO
Externo à Instituição - FLÁVIA COIMBRA DELICATO
Externo à Instituição - PAULO DE FIGUEIREDO PIRES