DisOpenFaaS: A Distributed Function-as-a-Service Platform

  • Lucas Vieira Universidade Federal de Campina Grande
  • Adbys Vasconcelos Universidade Federal de Campina Grande
  • Ítalo Batista Universidade Federal de Campina Grande
  • Rodolfo Silva Universidade Federal de Campina Grande
  • Francisco Brasileiro Universidade Federal de Campina Grande

Resumo


The widespread adoption of cloud computing leads to a constant development of more efficient ways to manage the resources used by it. One of the most recent steps is called Function-as-a-Service (FaaS), a cloud computing service model where developers can focus on developing functions, without worrying with the underlying resources. We propose an architecture for deploying FaaS platforms in hybrid clouds that can be composed by multiple cloud providers. The architecture enables privately deployed FaaS platforms to perform auto-scaling of virtual machines in a distributed infrastructure and routes requests to servers geographically located closest to the clients, considering a scenario where the users of such platform are scattered around the globe.

Referências

Fission. Fast serverless functions for kubernetes. https://github.com/fission/fission. Accessed: 04/16/2019.

Kubeless. Kubernetes native serverless framework. https://github.com/kubeless/kubeless. Accessed: 04/16/2019.

OpenFaaS. Openfaas-serverless functions made simple. https://github.com/openfaas/faas. Accessed: 04/16/2019.

OpenWhisk. Apache openwhisk. https://github.com/apache/incubator-openwhisk. Accessed: 04/16/2019.

RightScale (2018). Rightscale 2018 state of the cloud report.

Vasconcelos, A., Vieira, L., Batista, I., Silva, R., and Brasileiro, F. (2019). Distributed-faas: Execution of containerized serverless applications in multi-cloud infrastructures. In CLOSER.
Publicado
06/05/2019
VIEIRA, Lucas; VASCONCELOS, Adbys; BATISTA, Ítalo; SILVA, Rodolfo; BRASILEIRO, Francisco. DisOpenFaaS: A Distributed Function-as-a-Service Platform. In: SALÃO DE FERRAMENTAS - SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 2. , 2019, Gramado. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 33-40. ISSN 2177-9384. DOI: https://doi.org/10.5753/sbrc_estendido.2019.7767.