Network cloudification

Yefim Dinitz; Shlomi Dolev; Sergey Frenkel; Alex Binun; Daniel Khankin

doi:10.1007/978-3-030-20951-3_22

Network cloudification

Yefim Dinitz, Shlomi Dolev, Sergey Frenkel, Alex Binun, Daniel Khankin

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings
Editors	Shlomi Dolev, Danny Hendler, Sachin Lodha, Moti Yung
Publisher	Springer Verlag
Pages	249-259
Number of pages	11
ISBN (Print)	9783030209506
DOIs	https://doi.org/10.1007/978-3-030-20951-3_22
State	Published - 1 Jan 2019
Event	3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019 - Beer Sheva, Israel Duration: 27 Jun 2019 → 28 Jun 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11527 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019
Country/Territory	Israel
City	Beer Sheva
Period	27/06/19 → 28/06/19

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-20951-3_22

Cite this

Dinitz, Y., Dolev, S., Frenkel, S., Binun, A., & Khankin, D. (2019). Network cloudification. In S. Dolev, D. Hendler, S. Lodha, & M. Yung (Eds.), Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings (pp. 249-259). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11527 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-20951-3_22

Dinitz, Yefim ; Dolev, Shlomi ; Frenkel, Sergey et al. / Network cloudification. Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. editor / Shlomi Dolev ; Danny Hendler ; Sachin Lodha ; Moti Yung. Springer Verlag, 2019. pp. 249-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

author = "Yefim Dinitz and Shlomi Dolev and Sergey Frenkel and Alex Binun and Daniel Khankin",

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Dinitz, Y , Dolev, S, Frenkel, S, Binun, A & Khankin, D 2019, Network cloudification. in S Dolev, D Hendler, S Lodha & M Yung (eds), Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11527 LNCS, Springer Verlag, pp. 249-259, 3rd International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2019, Beer Sheva, Israel, 27/06/19. https://doi.org/10.1007/978-3-030-20951-3_22

Network cloudification. / Dinitz, Yefim ; Dolev, Shlomi; Frenkel, Sergey et al.
Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. ed. / Shlomi Dolev; Danny Hendler; Sachin Lodha; Moti Yung. Springer Verlag, 2019. p. 249-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11527 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Dolev, Shlomi

AU - Frenkel, Sergey

AU - Binun, Alex

AU - Khankin, Daniel

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AB - 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.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings

A2 - Dolev, Shlomi

A2 - Hendler, Danny

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Dinitz Y , Dolev S, Frenkel S, Binun A, Khankin D. Network cloudification. In Dolev S, Hendler D, Lodha S, Yung M, editors, Cyber Security Cryptography and Machine Learning - 3rd International Symposium, CSCML 2019, Proceedings. Springer Verlag. 2019. p. 249-259. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-20951-3_22

Network cloudification

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