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Scaling the Deployment of Virtual Machines in UnaCloud

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High Performance Computing (CARLA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 796))

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Abstract

UnaCloud is an Opportunistic Cloud Platform that allows to create virtual clusters in non-dedicated hardware by harvesting idle resources in computer rooms across a campus. To launch a virtual cluster, the platform first determines which desktops can run the virtual machines and copies the corresponding images to these computers, mostly located in the same room. Regretfully, UnaCloud uses a TCP-based protocol to copy those images that results in large transmission times. Our diagnostics shows that the main cause for errors when deploying multiple machines is reaching a timeout. This paper reports our efforts to scale the deployment in UnaCloud to support clusters with a large number of nodes. We have implemented and evaluated multiple protocols for transferring virtual machine images. Our tests showed that BitTorrent, a P2P file transfer protocol, outperforms copying a single image using other protocols. Using it, we can deploy up to 100 virtual machines, one per desktop, in less than 10 min. Although this time is twice the offered by Amazon EC2, it is better than the exhibited by dedicated private clouds using software such as OpenStack and VMWare vCloud.

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Notes

  1. 1.

    https://sistemasproyectos.uniandes.edu.co/iniciativas/unacloud/es/inicio/.

  2. 2.

    https://www.samba.org.

  3. 3.

    http://www.bittorrent.org.

  4. 4.

    https://filezilla-project.org/.

  5. 5.

    http://mpetazzoni.github.io/ttorrent/.

  6. 6.

    Datasets available at https://goo.gl/NXJVZF.

  7. 7.

    https://aws.amazon.com/ec2.

  8. 8.

    https://www.openstack.org/.

  9. 9.

    https://www.vmware.com/products/vcloud-suite.html.

  10. 10.

    http://cecad.udistrital.edu.co/.

  11. 11.

    More information of the evaluated private clouds at https://goo.gl/NXJVZF.

References

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Acknowledgments

This research was performed by the Center of Excellence and Appropriation in Big Data and Data Analytics (CAOBA), financed by the Ministerio de Tecnologías de la Información y Telecomunicaciones de la República de Colombia (MinTIC) through the Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS), contract N\(^{\underline{\mathrm {o}}}\) FP44842-anexo46-2015.

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Authors and Affiliations

  1. COMIT Research Group, Universidad de los Andes, Bogotá, Colombia

    Jaime Chavarriaga, César Forero-González, Jesse Padilla-Agudelo, Andrés Muñoz & Harold Castro

  2. Centro de Computación de Alto Desempeño (CECAD), Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Rodolfo Cáliz-Ospino

Authors
  1. Jaime Chavarriaga
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  2. César Forero-González
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  3. Jesse Padilla-Agudelo
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  4. Andrés Muñoz
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  5. Rodolfo Cáliz-Ospino
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  6. Harold Castro
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Corresponding author

Correspondence to Jaime Chavarriaga .

Editor information

Editors and Affiliations

  1. CSC-CONICET and Universidad de Buenos Aires, Buenos Aires, Argentina

    Esteban Mocskos

  2. Universidad de la República, Montevideo, Uruguay

    Sergio Nesmachnow

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Chavarriaga, J., Forero-González, C., Padilla-Agudelo, J., Muñoz, A., Cáliz-Ospino, R., Castro, H. (2018). Scaling the Deployment of Virtual Machines in UnaCloud. In: Mocskos, E., Nesmachnow, S. (eds) High Performance Computing. CARLA 2017. Communications in Computer and Information Science, vol 796. Springer, Cham. https://doi.org/10.1007/978-3-319-73353-1_28

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  • DOI: https://doi.org/10.1007/978-3-319-73353-1_28

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  • Print ISBN: 978-3-319-73352-4

  • Online ISBN: 978-3-319-73353-1

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