Flow-Based Network Tomography Agent for Software Defined Data Center

Biyar, Elham Dehghan; Karanlik, Bahtiyar; Canberk, Berk

doi:10.1109/sigtelcom.2019.8696157

Cited by 4 publications

(1 citation statement)

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“…Other works consider the more realistic case of non-exponential service times but with several limitations. For instance, both in [37] and in [38], a simple M/G/1 model is used to characterize a Software Defined Network architecture, where the presence of multiple instances (as occurs in more generic M/G/c models) is neglected. Even when multiple instances are considered (see [39], [40]), the queueing analysis is limited to a single network node, by neglecting the interconnections existing among the nodes.…”

Section: Related Workmentioning

confidence: 99%

Performability of Network Service Chains: Stochastic Modeling and Assessment of Softwarized IP Multimedia Subsystem

Di Mauro,

Galatro,

Postiglione

et al. 2021

Preprint

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Service provisioning mechanisms implemented across 5G infrastructures take broadly into use the network service chain concept. Typically, it is coupled with Network Function Virtualization (NFV) paradigm, and consists in defining a pre-determined path traversed by a set of softwarized network nodes to provide specific services. A well known chain-like framework is the IP Multimedia Subsystem (IMS), a key infrastructure of 5G networks, that we characterize both by a performance and an availability perspective. Precisely, supported by a designed from scratch testbed realized through Clearwater platform, we perform a stochastic assessment of a softwarized IMS (softIMS) architecture where two main stages stand out: i) a performance analysis, where, exploiting the queueing network decomposition method, we formalize an optimization problem of resource allocation by modeling each softIMS node as an M/G/c system; ii) an availability assessment, where, adopting the Stochastic Reward Net methodology, we are able to characterize the behavior of softIMS in terms of failure/repair events, and to derive a set of optimal configurations satisfying a given availability requirement (e.g. five nines) while minimizing deployment costs. Two routines dubbed OptCNT and OptSearchChain have been devised to govern the performance and availability analyses, respectively.

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Section: Related Workmentioning

confidence: 99%