Choreography-Defined Networks: A Case Study on DoS Mitigation

Saverio Giallorenzo, Jacopo Mauro, Andrea Melis, Fabrizio Montesi, Marco Peressotti, Marco Prandini*

*Kontaktforfatter

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstract

Software-defined networking and network function virtualization have brought unparalleled flexibility in defining and managing network architectures. With the widespread diffusion of cloud platforms, more resources are available to execute virtual network functions concurrently, but the current approach to defining networks in the cloud development is held back by the lack of tools to manage the composition of more complex flows than simple sequential invocations. In this paper, we advocate for the usage of choreographic programming for defining the multiparty workflows of a network. When applied to the composition of virtual network functions, this approach yields multiple advantages: a single program expresses the behavior of all components, in a way that is easier to understand and check; a compiler can produce the executable code for each component, guaranteeing correctness properties of their interactions such as deadlock freedom; and the bottleneck of a central orchestrator is removed. We describe the proposed approach and show its feasibility via a case study where different functions cooperatively solve a security monitoring task.

OriginalsprogEngelsk
TitelService-Oriented Computing - 22nd International Conference, ICSOC 2024, Proceedings
RedaktørerWalid Gaaloul, Michael Sheng, Qi Yu, Sami Yangui
Antal sider17
Vol/bind15405
ForlagSpringer Science+Business Media
Publikationsdato2024
Sider243-259
ISBN (Trykt)9789819608072
ISBN (Elektronisk)978-981-96-0808-9_18
DOI
StatusUdgivet - 2024
Begivenhed22nd International Conference on Service-Oriented Computing, ICSOC 2024 - Tunis, Tunesien
Varighed: 3. dec. 20246. dec. 2024

Konference

Konference22nd International Conference on Service-Oriented Computing, ICSOC 2024
Land/OmrådeTunesien
ByTunis
Periode03/12/202406/12/2024
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind15405 LNCS
ISSN0302-9743

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