Research

My Ph.D. research was focused on multi-agent architecture for efficient usage of transient servers in cloud computing, combining machine learning and a statistical model to predict the survival time of cloud instances, helping the proposed model to refine fault tolerance parameters to increase reliability and reduce the monetary cost.

Projects

A Multi-cloud Fault-Tolerant Architecture for Transient Servers.

A Brand new Resilient Agent-based Architecture for Cloud computing.

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); 😊

  • Web Master of WPOS 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".