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Computer Science > Networking and Internet Architecture

arXiv:2208.12770 (cs)
[Submitted on 26 Aug 2022]

Title:A Latency-driven Availability Assessment for Multi-Tenant Service Chains

Authors:Luigi De Simone, Mario Di Mauro, Roberto Natella, Fabio Postiglione
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Abstract:Nowadays, most telecommunication services adhere to the Service Function Chain (SFC) paradigm, where network functions are implemented via software. In particular, container virtualization is becoming a popular approach to deploy network functions and to enable resource slicing among several tenants. The resulting infrastructure is a complex system composed by a huge amount of containers implementing different SFC functionalities, along with different tenants sharing the same chain. The complexity of such a scenario lead us to evaluate two critical metrics: the steady-state availability (the probability that a system is functioning in long runs) and the latency (the time between a service request and the pertinent response). Consequently, we propose a latency-driven availability assessment for multi-tenant service chains implemented via Containerized Network Functions (CNFs). We adopt a multi-state system to model single CNFs and the queueing formalism to characterize the service latency. To efficiently compute the availability, we develop a modified version of the Multidimensional Universal Generating Function (MUGF) technique. Finally, we solve an optimization problem to minimize the SFC cost under an availability constraint. As a relevant example of SFC, we consider a containerized version of IP Multimedia Subsystem, whose parameters have been estimated through fault injection techniques and load tests.
Subjects: Networking and Internet Architecture (cs.NI)
Cite as: arXiv:2208.12770 [cs.NI]
  (or arXiv:2208.12770v1 [cs.NI] for this version)
  https://doi.org/10.48550/arXiv.2208.12770
Related DOI: https://doi.org/10.1109/TSC.2022.3183938

Submission history

From: Mario Di Mauro [view email]
[v1] Fri, 26 Aug 2022 16:30:37 UTC (7,932 KB)
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