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CLOUDCAL

Software tool to estimate yearly cloud computing costs for different pricing models: reserved VMs, on-demand VMs, and serverless computing.

Configurations

Configurations for simulations are includen in file:

configuration.py

Scripts

Python script files are:

simulator-ondemand-vms.py
simulator-reserved-vms.py
simulator-serverless.py

Acknowledgements

  • This research was funded through an Unrestricted Gift from Microsoft.
  • This work was possible thanks to the Amazon Web Services Cloud Credits for Research program.

Referencing our work

If you found our tool useful and use it in research, please cite our work as follows:

Edwin F. Boza, Cristina L. Abad, Mónica Villavicencio, Stephany Quimba, Juan Antonio Plaza, "Reserved, On Demand or Serverless: Model-based simulations for cloud budget planning". In Proceedings of the IEEE Ecuadorian Technical Chapters Meeting (ETCM), 2017. Code available at: https://github.com/ebozag/CLOUDCAL