@misc{10481/59700,
year = {2019},
month = {12},
url = {http://hdl.handle.net/10481/59700},
abstract = {Network Functions Virtualization facilitates the automation of the scaling of softwarized network services (SNSs).
However, the realization of such a scenario requires a way to
determine the needed amount of resources so that the SNSs performance requisites are met for a given workload. This problem is
known as resource dimensioning, and it can be efficiently tackled
by performance modeling. In this vein, this paper describes an
analytical model based on an open queuing network of G/G/m
queues to evaluate the response time of SNSs. We validate our
model experimentally for a virtualized Mobility Management
Entity (vMME) with a three-tiered architecture running on
a testbed that resembles a typical data center virtualization
environment. We detail the description of our experimental
setup and procedures. We solve our resulting queueing network
by using the Queueing Networks Analyzer (QNA), Jackson’s
networks, and Mean Value Analysis methodologies, and compare
them in terms of estimation error. Results show that, for medium
and high workloads, the QNA method achieves less than half of
error compared to the standard techniques. For low workloads,
the three methods produce an error lower than 10%. Finally,
we show the usefulness of the model for performing the dynamic
provisioning of the vMME experimentally.},
organization = {This work has been partially funded by the H2020 research
and innovation project 5G-CLARITY (Grant No. 871428)},
organization = {National research
project 5G-City: TEC2016-76795-C6-4-R},
organization = {Spanish Ministry of
Education, Culture and Sport (FPU Grant 13/04833). We would also like to
thank the reviewers for their valuable feedback to enhance the quality
and contribution of this work},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
keywords = {Network Softwarization},
keywords = {NFV},
keywords = {performance modeling},
keywords = {queuing theory},
keywords = {queuing model},
keywords = {softwairzed network services},
keywords = {resource dimensioning},
keywords = {dynamic resource provisioning},
title = {Performance Modeling of Softwarized Network Services Based on Queuing Theory with Experimental Validation},
doi = {10.1109/TMC.2019.2962488},
author = {Prados Garzón, Jonathan and Ameigeiras Gutiérrez, Pablo José and Ramos Muñoz, Juan José and Navarro Ortiz, Jorge and Andres-Maldonado, Pilar and López Soler, Juan Manuel},
}