Observabilidade no ambiente de Computação em Névoa

  • Breno Costa UnB
  • Aletéia P. F. Araújo UnB

Abstract


Observability in distributed systems is the ability to understand the internal state of a system from its external data. Greater observability allows faster analysis of issues encountered at runtime, helping to meet agreed service levels. Fog Computing provides computational resources close to users and it is characterised by resource constraints and heterogeneity of devices and connections. This work proposes to define and characterise the challenges of increasing the observability of systems in a fog environment. For this, a real test environment was created and configured only with open source solutions. Through an Internet of Things use case, it was possible to measure the characteristic overhead of current observability solutions and discuss the challenges of such implementation in a Fog environment.

References

Bonomi, F., Milito, R., Zhu, J., and Addepalli, S. (2012). Fog computing and its role in the internet of things. In Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing, MCC ’12, pages 13–16, New York, NY, USA. ACM.

Costa, B., Bachiega Jr, J., Carvalho, L. R., Rosa, M., and Araujo, A. (2022). Monitoring fog computing: A review, taxonomy and open challenges. Computer Networks, page 109189.

Iorga, M., Feldman, L., Barton, R., Martin, M. J., Goren, N. S., and Mahmoudi, C. (2018). Fog computing conceptual model.

Karumuri, S., Solleza, F., Zdonik, S., and Tatbul, N. (2021). Towards observability data management at scale. ACM SIGMOD Record, 49(4):18–23.

Popiolek, P. F. and Mendizabal, O. M. (2012). Monitoring and analysis of performance impact in virtualized environments. Journal of Applied Computing Research, 2:75–82.
Published
2023-08-24
COSTA, Breno; ARAÚJO, Aletéia P. F.. Observabilidade no ambiente de Computação em Névoa. In: REGIONAL HIGH PERFORMANCE SCHOOL OF THE MIDWEST (ERAD-CO), 6. , 2023, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 10-14. DOI: https://doi.org/10.5753/eradco.2023.234558.