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Technologies and solutions for enabling the cloud of things paradigm

Grant number: 15/24144-7
Support type:Research Projects - Thematic Grants
Duration: October 01, 2017 - September 30, 2022
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Cooperation agreement: MCTI/MC
Principal researcher:José Neuman de Souza
Grantee:José Neuman de Souza
Home Institution: Centro de Ciências. Universidade Federal do Ceará (UFC). Ministério da Educação (Brasil). Fortaleza , SP, Brazil
Pesquisadores principais:
Antonio Augusto de Aragão Rocha ; Debora Christina Muchaluat Saade ; Elisa Yumi Nakagawa ; Flavia Coimbra Delicato ; Paulo de Figueiredo Pires ; Thais Vasconcelos Batista
Assoc. researchers: Albert Y. Zomaya ; Atslands Rego da Rocha ; Claudio Miceli de Farias ; Davidson Rodrigo Boccardo ; Elisa Yumi Nakagawa ; Frederico Araújo da Silva Lopes ; Luci Pirmez ; Luiz Fernando Rust da Costa Carmo ; Rosana Teresinha Vaccare Braga ; Samee U. Khan ; Thais Vasconcelos Batista
Associated grant(s):20/00835-9 - Engineering trustworthy cloud-of-things systems, AP.R SPRINT
Associated scholarship(s):21/09289-0 - Data services project for Cloud of Things environments, BP.TT
20/12891-0 - Data and Resource Management on the Internet of Things, BP.PD
19/23663-1 - A framework for economic sustainability in systematic literature reviews, BP.DR
+ associated scholarships 19/24013-0 - Virtualization model for Cloud of Things environments, BP.TT
19/21034-7 - Environment for the development of Cloud of Things applications, BP.TT
18/06896-0 - Reference architecture for Cloud of Things, BP.TT
18/08350-4 - Cloud of Things tasks scheduling, BP.TT - associated scholarships


The combination of the Internet of Things (IoT) and Cloud computing paradigms gave rise to a new concept known as Cloud of Things (CoT). In this new paradigm, the cloud essentially acts as an intermediate layer between smart objects and applications that make use of data and resources provided by these ob-jects. By leveraging such paradigm, the IoT can benefit from the almost unlimited resources of a cloud computing to implement the management and composition of services related to smart objects and the data they produce. On the other hand, the cloud can benefit by broadening its operation scope to deal with real-world objects. Despite the potential advantages of CoT, there are several research challenges to be investigated for the full realization of such paradigm and to achieve the promised benefits. A key issue concerns the development of a virtualization model for things that simultaneously meets the requirements of various applications while respecting the resource constraints of IoT devices. Other major issues concern (i) properly and efficiently assigning tasks to the several entities involved in CoT (things, cloud platforms and intermediary gateways), (ii) dealing with the huge amount of data produced by things, (iii) providing several types of security for applications, data and devices, and (iv) building applications for such envi-ronments. In this context, the goal of this project is to investigate and propose solutions to address all these challenges, in order to contribute to enable the full realization of the CoT paradigm. The proposed solutions will be developed as a set of services, integrated into a software framework at the middleware level, built from a Reference Architecture (RA) specifically tailored for CoT environments. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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Scientific publications (19)
(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)
DA COSTA BEZERRA, SANDY F.; FILHO, AIRTON S. M.; DELICATO, FLAVIA C.; DA ROCHA, ATSLANDS R. Processing Complex Events in Fog-Based Internet of Things Systems for Smart Agriculture. SENSORS, v. 21, n. 21 NOV 2021. Web of Science Citations: 0.
DE SA, SIDNEY LOYOLA; ROCHA, ANTONIO A. DE A.; PAES, ALINE. Predicting Popularity of Video Streaming Services with Representation Learning: A Survey and a Real-World Case Study. SENSORS, v. 21, n. 21 NOV 2021. Web of Science Citations: 0.
CAGNIN, MARIA ISTELA; NAKAGAWA, ELISA YUMI. Towards dynamic processes-of-business processes: a new understanding. BUSINESS PROCESS MANAGEMENT JOURNAL, v. 27, n. 5, p. 1545-1568, AUG 10 2021. Web of Science Citations: 0.
CABALLERO, EGBERTO; FERREIRA, VINICIUS; LIMA, ROBSON ARAUJO; SOTO, JULIO CESAR HUARACHI; MUCHALUAT-SAADE, DEBORA; ALBUQUERQUE, CELIO. BNS: A Framework for Wireless Body Area Network Realistic Simulations. SENSORS, v. 21, n. 16 AUG 2021. Web of Science Citations: 0.
DA SILVA, DANIEL V. C.; ROCHA, ANTONIO A. DE A.; VELLOSO, PEDRO B. Mobile vs. Non-Mobile Live-Streaming: A Comparative Analysis of Users Engagement and Interruption Using Big Data from a Large CDN Perspective. SENSORS, v. 21, n. 16 AUG 2021. Web of Science Citations: 0.
MUNIZ LEITE, ANA ISABELLA; LAGOA, LUCAS; LOPES, SAMUEL; BRAGA, ROSANA; ANTONINO, PABLO OLIVEIRA; NAKAGAWA, ELISA YUMI. An Investigation of Knowledge Gaps of Graduate Students Regarding Safety-Critical Systems Development: A Controlled Experiment. IEEE TRANSACTIONS ON EDUCATION, JUL 2021. Web of Science Citations: 0.
CAGNIN, MARIA ISTELA; NAKAGAWA, ELISA YUMI. Towards dynamic processes-of-business processes: a new understanding. BUSINESS PROCESS MANAGEMENT JOURNAL, MAY 2021. Web of Science Citations: 0.
DIAS VALLE, PEDRO HENRIQUE; GARCES, LINA; VOLPATO, TIAGO; MARTINEZ-FERNANDEZ, SILVERIO; NAKAGAWA, ELISA YUMI. Towards suitable description of reference architectures. PEERJ COMPUTER SCIENCE, MAR 9 2021. Web of Science Citations: 0.
ROCHA NETO, ALUIZIO; SILVA, THIAGO P.; BATISTA, THAIS; DELICATO, FLAVIA C.; PIRES, PAULO F.; LOPES, FREDERICO. Leveraging Edge Intelligence for Video Analytics in Smart City Applications. INFORMATION, v. 12, n. 1 JAN 2021. Web of Science Citations: 0.
BATTISTI, ANSELMO LUIZ EDEN; MUCHALUAT-SAADE, DEBORA CHRISTINA; DELICATO, FLAVIA C. Enabling Internet of Media Things With Edge-Based Virtual Multimedia Sensors. IEEE ACCESS, v. 9, p. 59255-59269, 2021. Web of Science Citations: 0.
COSTA, BRUNO; PIRES, PAULO F.; DELICATO, FLAVIA C. Towards the adoption of OMG standards in the development of SOA-based IoT systems. JOURNAL OF SYSTEMS AND SOFTWARE, v. 169, NOV 2020. Web of Science Citations: 0.
DELICATO, FLAVIA C.; VANDELLI, TAYSSA; BONICEA, MARIO; FARIAS, CLAUDIO M. DE. Heracles: A Context-Based Multisensor Sensor Data Fusion Algorithm for the Internet of Things. INFORMATION, v. 11, n. 11 NOV 2020. Web of Science Citations: 0.
SANTANA, CLEBER; ANDRADE, LEANDRO; DELICATO, FLAVIA C.; PRAZERES, CASSIO. Increasing the availability of IoT applications with reactive microservices. SERVICE ORIENTED COMPUTING AND APPLICATIONS, NOV 2020. Web of Science Citations: 0.
XAVIER, TIAGO C. S.; SANTOS, IGOR L.; DELICATO, FLAVIA C.; PIRES, PAULO F.; ALVES, MARCELO P.; CALMON, TIAGO S.; OLIVEIRA, ANA C.; AMORIM, CLAUDIO L. Collaborative resource allocation for Cloud of Things systems. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 159, JUN 1 2020. Web of Science Citations: 0.
TORRES, ANDREI B. B.; DA ROCHA, ATSLANDS R.; COELHO DA SILVA, TICIANA L.; DE SOUZA, JOSE N.; GONDIM, RUBENS S. Multilevel data fusion for the internet of things in smart agriculture. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 171, APR 2020. Web of Science Citations: 0.
ALVES, MARCELO PITANGA; DELICATO, FLAVIA C.; SANTOS, IGOR L.; PIRES, PAULO F. LW-CoEdge: a lightweight virtualization model and collaboration process for edge computing. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, NOV 2019. Web of Science Citations: 0.
MACEDO, EVANDRO L. C.; DE OLIVEIRA, EGBERTO A. R.; SILVA, FABIO H.; MELLO JR, RUI R.; FRANCA, FELIPE M. G.; DELICATO, FLAVIA C.; DE REZENDE, JOSE F.; DE MORAES, LUIS F. M. On the Security Aspects of Internet of Things: A Systematic Literature Review. JOURNAL OF COMMUNICATIONS AND NETWORKS, v. 21, n. 5, p. 444-457, OCT 2019. Web of Science Citations: 0.
MOREIRA NETO, MAURICIO; DA ROCHA, ATSLANDS REGO; GOMES, DANIELO G.; MOREIRA NETO, LEONARDO OLIVEIRA; DELICATO, FLAVIA COIMBRA. PALES: A Predictive Approach for the election of semantic cluster LEaders in wireless Sensor networks. JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, v. 11, n. 4, p. 355-367, 2019. Web of Science Citations: 0.
REGO, PAULO A. L.; TRINTA, FERNANDO A. M.; HASAN, MASUM Z.; DE SOUZA, JOSE N. Enhancing Offloading Systems with Smart Decisions, Adaptive Monitoring, and Mobility Support. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2019. Web of Science Citations: 1.

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