Banca de QUALIFICAÇÃO: JOÃO VICTOR LOPES DA SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : JOÃO VICTOR LOPES DA SILVA
DATE: 21/06/2022
TIME: 14:30
LOCAL: Google Meet
TITLE:

Monitoring Smart Cities Platforms

KEY WORDS:

Monitoring, Smart Cities Platforms, Aspect-oriented Programming, Quality of Service

PAGES: 70
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Sistemas de Computação
SPECIALTY: Teleinformática
SUMMARY:

Platforms for developing smart cities applications are responsible for providing various services to facilitate application development. Typically, such platforms manage a variety of applications, handle a large volume of data and serve a significant number of users that generate a high volume of requests. The large amount of requests often causes overload on the platform, degrading the quality of service provided to users. Also, as smart city platforms process requests for operations on large volumes of geographic data, it is important to monitor the databases to see if there are any limitations to processing large amounts of data in an acceptable time. Therefore, in this context, it is necessary to monitor the underlying computational infrastructure on which platforms for smart cities and applications are deployed, as well as monitor operations regarding access to geographic data stored in the databases used by the platforms. Aiming to address this problem, the objective of this work is to propose and implement a non-invasive strategy to enable the monitoring of platforms for smart cities, including the monitoring of the underlying infrastructure, as well as the operations directed to the databases. The proposed strategy is based on the aspect-oriented programming paradigm so that it is possible to monitor the computational infrastructure without the need to intervene on the implementation of the platform or generate coupling with respect to monitoring. This work also presents the implementation of the strategy and its instance in the monitoring of the Smart Geo Layers (SGeoL) platform, as well as an evaluation of the proposed monitoring strategy.

BANKING MEMBERS:
Presidente - 1213777 - THAIS VASCONCELOS BATISTA
Interno - 2316877 - EVERTON RANIELLY DE SOUSA CAVALCANTE
Externo ao Programa - 2510306 - FREDERICO ARAUJO DA SILVA LOPES