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DICE: A Novel Platform to Support Massively Distributed Clouds

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Mobile Networks and Management (MONAMI 2013)

Abstract

Massively distributed clouds (MDC) have a huge potential in serving novel applications and services in many situations. Mainly, they are able to provide communication without the use of an infrastructure and to guarantee full data and user anonymity. However, their implementation is not trivial and requires innovation in many different fields, such as opportunistic communications, big data management and security. In this paper, we present our first design of a MDC supporting architecture, called DICE: Distributed Infrastructureless Cloud sErvices. We present our main application scenario and focus on implementation challenges and early results.

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References

  1. Förster, A., Kuladinithi, K., Timm-Giel, A., Görg, C., Giordano, S.: Towards the massively distributed cloud. Under submission at Computer Networks. Elsevier (2013)

    Google Scholar 

  2. Garg, K., Giordano, S., Förster, A.: A study to understand the impact of node density on data dissemination time in opportunistic networks (in under review, 2013)

    Google Scholar 

  3. Jelasity, M., Montresor, A., Babaoglu, O.: Gossip-based aggregation in large dynamic networks. ACM Trans. Comput. Syst. 23(1), 219–252 (2005)

    Article  Google Scholar 

  4. Guerrieri, A., Carreras, I., De Pellegrini, F., Montresor, A., Miorandi, D.: Distributed estimation of global parameters in delay-tolerant networks. Computer Communications 33(13) (August 2010)

    Google Scholar 

  5. Jacobson, V., Smetters, D.K., Thornton, J.D., Plass, M.F., Briggs, N.H., Braynard, R.L.: Networking named content. In: Proceedings of the 5th International Conference on Emerging Networking Experiments and Technologies, CoNEXT 2009, pp. 1–12 (2009)

    Google Scholar 

  6. Wenning, B., Lukosius, A., TimmGiel, A., Görg, C., Tomic, S.: Opportunistic distance-aware routing in multi-sink mobile wireless sensor networks. In: Proceedings of the ICT-MobileSummit (2008)

    Google Scholar 

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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Förster, A., Kuladinithi, K., Timm-Giel, A., Görg, C., Giordano, S. (2013). DICE: A Novel Platform to Support Massively Distributed Clouds. In: Pesch, D., Timm-Giel, A., Calvo, R.A., Wenning, BL., Pentikousis, K. (eds) Mobile Networks and Management. MONAMI 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-319-04277-0_21

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  • DOI: https://doi.org/10.1007/978-3-319-04277-0_21

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04276-3

  • Online ISBN: 978-3-319-04277-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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