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Data Orchestration for Urban Computing through Fog Computing

Grant number: 18/23126-3
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): September 01, 2019
Effective date (End): October 31, 2020
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Leandro Aparecido Villas
Grantee:Maycon Leone Maciel Peixoto
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:15/24494-8 - Communications and processing of big data in cloud and fog computing, AP.TEM
Associated scholarship(s):19/24938-4 - Reduction of traffic flow data through fog computing, BE.EP.PD


In an Urban Computing, there are several sensors producing a huge amount of data from an Intelligent Transportation System. These data can be difficult to process, analyze and store even for Cloud Computing. Thus, Fog Computing, as an extension of Cloud Computing, is used to perform perform services directly at the edge of the network, providing low latency and real-time computing. In this case, Fog can provide infrastructure to store and process data for decision making, even if autonomously, regardless of the state of the Cloud infrastructure. In this way, this project aims to foment research in Cloud Computing, under the angle of Fog Computing, through the study, proposition and evaluation of techniques that seek to contribute state-of-the-art in the fundamental issue of data produced from a Intelligent Transportation System. The overall goal of this project is to reduce the volume of data and increase the relevance before to sent them to the Cloud. For this, a mechanism will be developed to deal with data orchestration, identifying which part of the data load will be handled by edge computing resources and which part will be handled by the Cloud. Finally, it should be noted that this proposal is linked to the thematic project financed by FAPESP (process: 2015/24494-8).

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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)
RODRIGUES, DIEGO O.; MAIA, GUILHERME; BRAUN, TORSTEN; LOUREIRO, ANTONIO A. F.; PEIXOTO, MAYCON L. M.; VILLAS, LEANDRO A.. Exploring Hybrid-Multimodal Routing to Improve User Experience in Urban Trips. APPLIED SCIENCES-BASEL, v. 11, n. 10, . (18/23064-8, 18/23126-3, 18/19639-5, 18/12447-3, 15/24494-8, 20/11259-9)
PEIXOTO, M. L. M.; MAIA, A. H. O.; MOTA, E.; RANGEL, E.; COSTA, D. G.; TURGUT, D.; VILLAS, L. A.. A traffic data clustering framework based on fog computing for VANETs. VEHICULAR COMMUNICATIONS, v. 31, . (18/23126-3, 15/24494-8)

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