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

Mauro, Mario Di; Galatro, Giovanni; Postiglione, F.; Tambasco, Marco

doi:10.1109/tdsc.2021.3082626

Cited by 15 publications

(9 citation statements)

References 43 publications

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“…Tola et al [27] combined structural model and stochastic activity network (SAN) model to evaluate the impact of network factors on NFVenabled service availability. Mauro et al [28] studied the availability of IP Multimedia Subsystem in different containerized architectural deployments based on SRN. These studies [26]- [28] assumed that all time intervals between events were exponentially distributed.…”

Section: Analytical Modelingmentioning

confidence: 99%

“…Mauro et al [28] studied the availability of IP Multimedia Subsystem in different containerized architectural deployments based on SRN. These studies [26]- [28] assumed that all time intervals between events were exponentially distributed. In this paper, we relax this assumption and allow recovery time and failure time to follow any kind of distribution.…”

Section: Analytical Modelingmentioning

confidence: 99%

“…There were several analytical models to investigate the availability and/or reliability in a virtualized system. They often assumed that all time intervals between events were N 2 > REPLACE THIS LINE WITH YOUR MANUSCRIPT ID NUMBER (DOUBLE-CLICK HERE TO EDIT) < exponentially distributed [26]- [28] and ignored time-dependent behaviors between VNFs and host OSes [26]- [32]. In addition, many studies only evaluated one of transient availability, steady-state availability and reliability [27]- [30].…”

Section: Introductionmentioning

confidence: 99%

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Towards UAV-Based MEC Service Chain Resilience Evaluation: A Quantitative Modeling Approach

Bai

Chang

Rodríguez

et al. 2023

IEEE Trans. Veh. Technol.

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Unmanned aerial vehicle (UAV) and network function virtualization (NFV) facilitate the deployment of multiaccess edge computing (MEC). In the UAV-based MEC (UMEC) network, virtualized network function (VNF) can be implemented as a lightweight container running on UMEC host operating system (OS). However, UMEC network is vulnerable to attack, which can result in resource degradation and even UMEC service disruption. Rejuvenation techniques, such as failover technique and live container migration technique, can mitigate the impact of resource degradation but their effectiveness to improve the resilience of UMEC services should be evaluated. This paper presents a quantitative modeling approach based on semi-Markov process to investigate the resilience of a UMEC service chain consisting of any number of VNFs executed in any number of UMEC hosts in terms of availability and reliability. Unlike existing studies, the semi-Markov model constructed in this paper can capture the time-dependent behaviors between VNFs, between host OSes, and between VNFs and host OSes on the condition that the holding times of the recovery and failure events follow any kind of distribution. We perform the sensitivity analysis to identify potential resilience bottlenecks. The results highlight that migration time is the parameter significantly affecting the resilience, which shed the insight on designing the UMEC service chain with high-grade resilience requirements. In addition, we carry out the numerical experiments to reveal that: (i) the type of failure time distribution has a significant effect on the resilience; and (ii) the resilience increases with decreasing number of VNFs, while the availability increases with increasing number of UMEC hosts and the reliability decreases with increasing number of UMEC hosts, which can provide meaningful guidance for the UAV placement optimization in the UMEC network.

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Section: Analytical Modelingmentioning

confidence: 99%

Section: Analytical Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards UAV-Based MEC Service Chain Resilience Evaluation: A Quantitative Modeling Approach

Bai

Chang

Rodríguez

et al. 2023

IEEE Trans. Veh. Technol.

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“…Sebastio et al [20] conducted the availability analysis under different container deployment configurations based on SRN and Fault Tree (FT). The authors in [21] analyzed the availability of two container-based softwarized IP multimedia subsystem deployments, homogeneous and co-located.…”

Section: Related Workmentioning

confidence: 99%

“…Researchers have developed various analytical models for analyzing the CS dependability or performance in a virtualized system. However, some studies [14]- [21] assumed that the time intervals of all events were exponentially distributed, while the others [22]- [26] focused on evaluating one or both of CS availability, reliability and completion time. Furthermore, all these studies assumed that backup resources can not suffer from software aging.…”

Section: Introductionmentioning

confidence: 99%

Quantitative understanding serial-parallel hybrid sfc services: a dependability perspective

Bai

Chang

Machida

et al. 2022

Peer-to-Peer Netw. Appl.

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Container technology, as the key enabler behind microservice architectures, is widely applied in Cloud and Edge Computing. A long and continuous running of operating system (OS) hosting container-based services can encounter software aging that leads to performance deterioration and even causes system failures. OS rejuvenation techniques can mitigate the impact of software aging but the rejuvenation trigger interval needs to be carefully determined to reduce the downtime cost due to rejuvenation. This paper proposes a comprehensive semi-Markovbased approach to quantitatively evaluate the effect of OS rejuvenation on the dependability and the performance of a container-based service. In contrast to the existing studies, we neither restrict the distributions of time intervals of events to be exponential nor assume that backup resources are always available. Through the numerical study, we show the optimal container-migration trigger intervals that can maximize the dependability or minimize the performance of a container-based service.

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Softwarization and virtualization of VoIP networks

Montazerolghaem

2022

J Supercomput

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

Cited by 15 publications

References 43 publications

Towards UAV-Based MEC Service Chain Resilience Evaluation: A Quantitative Modeling Approach

Towards UAV-Based MEC Service Chain Resilience Evaluation: A Quantitative Modeling Approach

Quantitative understanding serial-parallel hybrid sfc services: a dependability perspective

Softwarization and virtualization of VoIP networks

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