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Network Cloudification

(Extended Abstract)

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Cyber Security Cryptography and Machine Learning (CSCML 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11527))

Abstract

An automatic cloudification scheme for Software-Defined Networks (SDN) is presented. An existing network consisting of communicating network elements and network functions should be served by several cloud suppliers. The costs of cloudifying each element and each function at each cloud and the costs of transferring a unit of information between and inside clouds are given. The scheme selects in which cloud to locate each element and function in a way that minimizes the total cost of cloudifying and communication. As well, an online distributed protocol of seamless transformation of the existing network communication to the clouds is presented.

Research supported by Neptune - The Israeli Network Consortium, and partially supported by Rita Altura trust chair in Computer Science.

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Correspondence to Daniel Khankin .

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Dinitz, Y., Dolev, S., Frenkel, S., Binun, A., Khankin, D. (2019). Network Cloudification. In: Dolev, S., Hendler, D., Lodha, S., Yung, M. (eds) Cyber Security Cryptography and Machine Learning. CSCML 2019. Lecture Notes in Computer Science(), vol 11527. Springer, Cham. https://doi.org/10.1007/978-3-030-20951-3_22

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  • DOI: https://doi.org/10.1007/978-3-030-20951-3_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20950-6

  • Online ISBN: 978-3-030-20951-3

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