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Efficient and resilient video delivery in smart cities

Grant number: 18/02204-6
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): March 01, 2018
Effective date (End): July 14, 2019
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Cooperation agreement: CNPq - INCTs
Principal researcher:Edmundo Roberto Mauro Madeira
Grantee:Roger Kreutz Immich
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:14/50937-1 - INCT 2014: on the Internet of the Future, AP.TEM

Abstract

In the last few years, there has been a rapid proliferation of a wide range of real-timevideo services and applications. These technologies flood the wireless systems with video contenton a daily basis. As a result of this sharp increase in video traffic, the prospect of errors dueto network interference and congestion rises. Incidentally, the adoption of the 5th generationof wireless systems (5G) will allow this growth to be even greater due to its high bandwidthcapacity and low latency. However, even with these improvements on the wireless technologies,a reliable and high-quality video transmission still impose several challenges, such as howto handle a large number of heterogeneous devices and meet distinct user's requirements. Toovercome these issues, this project proposes the use of Cloud, Edge, and Fog Computing, aswell as intelligent service placement to provide a scalable and dependable architecture for SmartCities. In order to that, new techniques will be proposed to collect and analyze heterogeneousdata from several network-related technologies, as well as schemes to quantify and assess thetradeoff of using each one. In addition, a multi-objective parameter metric will be defined to beused in the service placement orchestration as well as the study of the performance of all theproposed methods. (AU)

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Scientific publications (4)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
RONDON, LUCAS B.; IMMICH, ROGER; ROCHA FILHO, GERALDO P.; NETO, AUGUSTO VENANCIO; MACIEL PEIXOTO, MAYCON LEONE; VILLAS, LEANDRO A. Towards Improved Vehicular Information-Centric Networks by Efficient Caching Discovery. VEHICLES, v. 2, n. 3, p. 453-467, SEP 2020. Web of Science Citations: 1.
AKABANE, ADEMAR T.; IMMICH, ROGER; BITTENCOURT, LUIZ F.; MADEIRA, EDMUNDO R. M.; VILLAS, LEANDRO A. Towards a distributed and infrastructure-less vehicular traffic management system. COMPUTER COMMUNICATIONS, v. 151, p. 306-319, FEB 1 2020. Web of Science Citations: 0.
AKABANE, ADEMAR TAKEO; IMMICH, ROGER; PAZZI, RICHARD WENNER; MAURO MADEIRA, EDMUNDO ROBERTO; VILLAS, LEANDRO APARECIDO. Exploiting Vehicular Social Networks and Dynamic Clustering to Enhance Urban Mobility Management. SENSORS, v. 19, n. 16 AUG 20 2019. Web of Science Citations: 0.
AKABANE, ADEMAR T.; IMMICH, ROGER; PAZZI, RICHARD W.; MADEIRA, EDMUNDO R. M.; VILLAS, LEANDRO A. Distributed Egocentric Betweenness Measure as a Vehicle Selection Mechanism in VANETs: A Performance Evaluation Study. SENSORS, v. 18, n. 8 AUG 2018. Web of Science Citations: 4.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.