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Fog computing support for smart cities based on Internet of Things

Grant number: 17/12944-4
Support type:Scholarships in Brazil - Master
Effective date (Start): December 01, 2017
Effective date (End): January 31, 2019
Field of knowledge:Physical Sciences and Mathematics - Computer Science
Principal Investigator:Carlos Alberto Kamienski
Grantee:Ivan Dimitry Ribeiro Zyrianoff
Home Institution: Centro de Matemática, Computação e Cognição (CMCC). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil

Abstract

A large number of devices are expected to be connected to the Internet in the next years, generating a huge amount of heterogeneous data from different sources. This vast number and variety of devices at the edge of the network is a part of what is known as Internet of Things (IoT). Cloud Computing provides a centralized model that is not suitable for IoT, mainly due to the high latency when using centralized datacenters, thus making it impracticable to provide real-time services. Therefore a decentralized model becomes necessary. Fog Computing is a paradigm that extends cloud services to the edge of the network at a large scale and in a distributed way [1]. It allows applications to run on billions of connected devices to provide data, processing, storage and services to users. This project aims at studying Fog Computing architectures and challenges in order to enable IoT technologies to Smart Cities, in addition to proposing and implementing a new architecture and comparing it with the traditional cloud-based centralized model through a rigorous performance analysis study. This project is included in the scope of FAPESP thematic project INCT of the Future Internet for Smart Cities, proc. 2014 / 50937-1.