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Dynamic resource management for intelligent transportation system applications

Grant number: 22/00660-0
Support Opportunities:Regular Research Grants
Duration: May 01, 2022 - April 30, 2024
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Convênio/Acordo: University of Manchester
Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
Principal Investigator:Rodolfo Ipolito Meneguette
Grantee:Rodolfo Ipolito Meneguette
Principal researcher abroad: Sandra Sampaio
Institution abroad: University of Manchester, England
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated research grant:20/07162-0 - Services for an intelligent transport system, AP.R

Abstract

Providing traffic information services to road users in an efficient manner has become paramount as we move to a greener economy that requires city pollution levels to be decreased. At the same time, the envisaged (post-Covid) way of life is predicted to become increasingly dependent not only on efficient transportation of physical goods, but also on efficient provision of services based on the availability of data/information collected/delivered anywhere anytime via mobile devices. To realize these objectives, numerous challenges need to be overcome, being fast and real-time data processing one of the major problems to be faced when meeting the service requirements of Intelligent Transportation System (ITS) applications, since, in these applications, the data to be processed comes from a variety of fixed and moving devices such as cars, unmanned aerial vehicles and sensors. To address this challenge, this project seeks to assess the suitability of existing cloud resource management strategies for fulfilling the requirements of ITS services and proposes improved strategies for managing storage and computing resources for ITS data processing, taking into account quality-of-service requirements. In other words, the project focuses on the management of the resources involved in data processing and information provision of ITS services, which requires efficiency and dynamicity, considering that these services are underpinned by a mobility driven infrastructure shared by numerous and varied devices. (AU)

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Scientific publications
(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)
RIBEIRO, AGUIMAR, JR.; ROCHA FILHO, GERALDO P.; GUIDONI, DANIEL L.; DE GRANDE, ROBSON E.; SAMPAIO, SANDRA; MENEGUETTE, RODOLFO I.; IEEE. A Shapley Value-based Strategy for Resource Allocation in Vehicular Clouds. 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), v. N/A, p. 6-pg., . (21/06210-3, 20/07162-0, 20/05126-6, 22/00660-0)
RIBEIRO JR, AGUIMAR; DA COSTA, JOAHANNES B. D.; ROCHA FILHO, GERALDO P.; VILLAS, LEANDRO A.; GUIDONI, DANIEL L.; SAMPAIO, SANDRA; MENEGUETTE, RODOLFO I.. HARMONIC: Shapley values in market games for resource allocation in vehicular clouds. Ad Hoc Networks, v. 149, p. 14-pg., . (21/06210-3, 20/05126-6, 22/00660-0, 18/16703-4)

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