FedUp! Cloud Federation as a Service

  • Paolo Bottoni
  • Emanuele Gabrielli
  • Gabriele Gualandi
  • Luigi Vincenzo Mancini
  • Franco Stolfi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9846)

Abstract

Current solutions for establishing federations of clouds require applications to be installed on the individual members of the federation, which have to devote a certain amount of resources to services for federation managing. Moreover, additional interoperability requirements may need to be satisfied by individual clouds in order to join a federation. This situation may negatively affect the decision whether to join a federation. In this paper we propose an alternative approach by viewing creation and management of a cloud federation as cloud services themselves, thus allowing a drastic simplification in the federation set-up process and the decoupling of the federation management services from the technologies adopted by the individual clouds, minimising technological complexity and intrusiveness in the individual cloud infrastructures, while increasing the flexibility and scalability of resources. We also point out that existing technologies, in particular containers, microservices, configurators, clusters and orchestrators, can be the basis for implementing a platform for generation and management of federations of individual clouds, in a way which facilitates optimisation of workload and scaling of applications via resource aggregation, and makes deploying and joining federations fast, easy, and transparent.

References

  1. 1.
    Agmon Ben-Yehuda, O., Ben-Yehuda, M., Schuster, A., Tsafrir, D.: The rise of RaaS: the resource-as-a-service cloud. Commun. ACM 57(7), 76–84 (2014)CrossRefGoogle Scholar
  2. 2.
    Bermbach, D., Kurze, T., Tai, S.: Cloud federation: effects of federated compute resources on quality of service and cost. In: Proceedings of IC2E 2013, pp. 31–37 (2013)Google Scholar
  3. 3.
    Kertesz, A.: Characterizing cloud federation approaches. In: Mahmood, Z. (ed.) Cloud Computing: Challenges, Limitations and R&D Solutions, pp. 277–296. Springer, Berlin (2014)Google Scholar
  4. 4.
    Marinos, A., Briscoe, G.: Community cloud computing. In: Jaatun, M.G., Zhao, G., Rong, C. (eds.) Cloud Computing. LNCS, vol. 5931, pp. 472–484. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  5. 5.
    Newman, S.: Building Microservices. Designing Fine-Grained Systems. O’Reilly Media, Sebastopol (2015)Google Scholar
  6. 6.
    Nicanfar, H., Liu, Q., Talebifard, P., Cai, W., Leung, V.C.M.: Community cloud: concept, model, attacks and solution. In: Proceedings of CloudCom 2013, vol. 2, pp. 126–131, December 2013Google Scholar
  7. 7.
    Rochwerger, B., Breitgand, D., Levy, E., Galis, A., Nagin, K., Llorente, I.M., Montero, R.S., Wolfsthal, Y., Elmroth, E., Cáceres, J.A., Ben-Yehuda, M., Emmerich, W., Galán, F.: The reservoir model and architecture for open federated cloud computing. IBM J. Res. Dev. 53(4), 4:1–4:11 (2009)CrossRefGoogle Scholar
  8. 8.
    Sebenik, C., Hatch, T.: Salt Essentials. Fast Scalable, and Flexible Automation. O’Reilly Media, Sebastopol (2015)Google Scholar
  9. 9.
    Villegas, D., Bobroff, N., Rodero, I., Delgado, J., Liu, Y., Devarakonda, A., Fong, L., Sadjadi, S.M., Parashar, M.: Cloud federation in a layered service model. J. Comput. Syst. Sci. 78(5), 1330–1344 (2012)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Paolo Bottoni
    • 1
  • Emanuele Gabrielli
    • 1
  • Gabriele Gualandi
    • 1
  • Luigi Vincenzo Mancini
    • 1
  • Franco Stolfi
    • 1
  1. 1.Cyber Intelligence and Information Security Research Center Dipartimento di InformaticaSapienza University of RomeRomeItaly

Personalised recommendations