Research
My Ph.D. research focused on developing a multi-agent architecture for efficiently utilizing transient servers in cloud computing. By combining machine learning with a statistical model, the survival time of cloud instances can be predicted, enabling the system to refine fault tolerance parameters, improve reliability, and reduce monetary costs.
Projects
Selected Publications
Conferences
J. P. Araujo Neto, D. M. Pianto and C. Ghedini Ralha, "A Resilient Agent-Based Architecture for Efficient Usage of Transient Servers in Cloud Computing", 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Nicosia, Cyprus, 2018, pp. 218-225.
J. P. Araujo Neto, D. M. Pianto and C. G. Ralha, "An Agent-Based Fog Computing Architecture for Resilience on Amazon EC2 Spot Instances", 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), São Paulo, SP, Brazil, 2018, pp. 360-365.
J. P. de Araujo Neto, D. M. Pianto and C. G. Ralha, "A Fault-Tolerant Agent-Based Architecture for Transient Servers in Fog Computing", 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), Lyon, France, 2018, pp. 282-289.
Neto J. P. Araujo, Pianto D. M., Ralha C. Ghedini. (2018) "Uma Abordagem Baseada em Aprendizagem de Máquina para Predição de Falhas de Revogação em Instâncias Transientes", In: XXIX Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos, 2018, Campos do Jordão, SP, Brazil. Anais do XXXVI SBRC - XVI WCGA, 2018. v. 1. p. 1-12.
Medeiros, F. P. A. ; Suarez, P. R. ; Mendes, J. F. ; Neto, J. P. A. ; Silva, G. F. ; Lula Junior, Bernardo . "Descrição de tarefas no contexto de interfaces homem-máquina utilizando a ferramenta iTAOS", In: I WORKCOMP SUL, 2004, Florianópolis, Brazil. I WORKCOMP SUL. Florianópolis: Sidnei Rodrigo Basei, 2004. v. 1.
Journals
Araújo Neto, José Pergentino and Pianto, Donald M. and Ralha, Célia Ghedini, "Towards increasing reliability of Amazon EC2 spot instances with a fault-tolerant multi-agent architecture", Multiagent and Grid Systems Journal - vol. 15, no. 3, pp. 259-287, 2019.
José Pergentino de Araújo Neto and Donald M. Pianto and Célia Ghedini Ralha, "MULTS: A Multi-cloud Fault-tolerant Architecture to Manage Transient Servers in Cloud Computing", Journal of Systems Architecture, 2019.
Book Chapters
Neto J. P. Araujo, Pianto D. M., Ralha C. G., "A Prediction Approach to Define Checkpoint Intervals in Spot Instances", In: The Cloud Computing Conference – CLOUD 2018, Seattle, WA, United States. Lecture Notes in Computer Science, vol 10967. Springer International Publishing. June 2018.
Gorgônio, F. L., Neto, J. P., & Silva, T. M. (2012). "A Framework for Designing Recommender System for Consumers Using Distributed Data Clustering", In R. Colomo-Palacios, J. Varajão, & P. Soto-Acosta (Eds.), Customer Relationship Management and the Social and Semantic Web: Enabling Cliens Conexus (pp. 253-270). Hershey, PA: IGI Global.
Activities
Session Chair in Cloud Services and Applications I at 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Nicosia, Cyprus, 2018;
Supervision on Undergraduate Research Program (PIBIC), entitled "A Machine Learning Algorithm for People Recognitions in Real-time" from CNPq, Brazil in 2018/2019;
Supervision on Undergraduate Research Program (PIBIC), entitled "Using Transient Instances in Cloud Computing" from IESB, Brazil in 2018/2019;
Organizing Committee of WPOS 2016, 2017 and 2018 (probably 2019 too); 😊
Honors and Awards
Award at the 25th Congress of Scientific Research of the University of Brasilia for the research project entitled "A Machine Learning Algorithm for People Recognitions in Real-time".
Honorable mention at the 25th Congress of Scientific Research of the University of Brasília for the research project entitled "Using Transient Instances in Cloud Computing".