A Latency-Driven Availability Assessment for Multi-Tenant Service Chains

Simone, Luigi De; Mauro, Mario Di; Natella, Roberto; Postiglione, F.

doi:10.1109/tsc.2022.3183938

Cited by 9 publications

(7 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other studies [27]- [30] admit the presence of multi-server nodes to model VNFs, but they adopt 𝑀/𝑀/𝑚 queueing systems that restrict the generality of the model. Similarly, previous studies [14], [31] characterized each SFC node in terms of an 𝑀/𝐺/𝑚 queueing model.…”

Section: A Performance Issuesmentioning

confidence: 98%

Multi-Provider IMS Infrastructure With Controlled Redundancy: A Performability Evaluation

Simone¹,

Mauro

Longo

et al. 2023

IEEE Trans. Netw. Serv. Manage.

Self Cite

View full text Add to dashboard Cite

In modern telecommunication networks, services are provided through Service Function Chains (SFC), where network resources are implemented by leveraging virtualization and containerization technologies. In particular, the possibility of easily adding or removing network resources has prompted service providers to redefine some concepts including performance and availability. In line with this new trend, we propose a performability study of a multi-provider containerized IP Multimedia Subsystem (cIMS), an SFC-like infrastructure used in the core part of 4G/5G networks to handle multimedia sessions. On the one hand, performance issues are tackled by modeling each cIMS node in terms of a 𝐺/𝐺/𝑚 queueing system to derive the Call Setup Delay (CSD), a performance metric related to the user-end experience in multimedia communications. On the other hand, availability issues are addressed through the Multi-State System (MSS) formalism, to take into account different performance rates of the system. Then, we devise an algorithm called PE-MUGF (Performability Evaluation through Multidimensional Universal Generating Function) to identify the minimum-redundancy cIMS configuration which meets given performance and availability targets at the same time. Finally, an extensive experimental analysis based on Clearwater, a containerized IMS testbed, allows us to estimate most of system parameters whose robustness is evaluated through a sensitivity analysis.

show abstract

Section: A Performance Issuesmentioning

confidence: 98%

Multi-Provider IMS Infrastructure With Controlled Redundancy: A Performability Evaluation

Simone¹,

Mauro

Longo

et al. 2023

IEEE Trans. Netw. Serv. Manage.

Self Cite

View full text Add to dashboard Cite

show abstract

“…where 𝛾 ∈ (0, 1) is the discount factor, representing the degree of influence of future decisions on the current state. Second, the value function of the action strategy needs to be defined for evaluating the magnitude of the value corresponding to the current action with respect to the average value, which can be described by Equation (13).…”

Section: Sa3c Descriptionmentioning

confidence: 99%

“…A well‐designed SFC mapping resource allocation strategy is essential for improving network resource utilization and enhancing network and service processing speed [13]. The scientific and effective decision‐making in SFC resource allocation has become pivotal in ensuring the efficient operation of network services [14].…”

Section: Introductionmentioning

confidence: 99%

An improved resource allocation method for mapping service function chains based on A3C

Huang,

Tian,

Zhang

et al. 2024

IET Communications

View full text Add to dashboard Cite

Network function virtualization (NFV) technology deploys network functions as software functions on a generalised hardware platform and provides customised network services in the form of service function chain (SFC), which improves the flexibility and scalability of network services and reduces network service costs. However, irrational resource allocation during service function chain mapping will cause problems such as low resource utilisation, long service request processing time and low mapping rate. To address the unreasonable problem of service mapping resource allocation, an improved service function chain mapping resource allocation method (SA3C) based on the Asynchronous advantageous action evaluation algorithm (A3C) is proposed. This study proposes an SFC mapping model and a mathematical model for joint allocation, which modeled the minimization of processing time as a Markov process. The main network was trained and multiple sub‐networks were generated in parallel using the ternary and deep reinforcement learning algorithm A3C, with the goal of identifying the optimal resource allocation strategy. The experimental simulation results show that compared with the Actor‐Critic (AC) and Policy Gradient (PG) methods, SA3C algorithm can improve the resource utilisation by 9.85%, reduce the total processing time by 10.72%, and improve the mapping rate by 6.72%, by reasonably allocating node computational resources and link bandwidth communication resources.

show abstract

“…Yet, a dependability assessment of the 5G-AKA authentication service in the presence of failures by employing CTMCs has been proposed in [20]. Finally, authors in [21]- [23] use CTMC as the basis to build a multi-state system model of virtualized nodes of IP Multimedia Subsystem (IMS), a framework adopted to manage multimedia content in 4G/5G infrastructures. Even if the CTMC modeling has the advantage of allowing full control of single failure/repair states of a system, it has the drawback of suffering from the so-called state-space explosion.…”

Section: Related Workmentioning

confidence: 99%

Performance and Availability Challenges in Designing Resilient 5G Architectures

Simone,

Mauro,

Natella

et al. 2024

IEEE Trans. Netw. Serv. Manage.

View full text Add to dashboard Cite

This work proposes a stochastic characterization of resilient 5G architectures, where attributes such as performance and availability play a crucial role. As regards performance, we focus on the delay associated with the Packet Data Unit session establishment, a 5G procedure recognized as critical for its impact on the Quality of Service and Experience of end-users. To formally characterize this aspect, we employ the non-productform queueing networks framework where: 𝑖) main nodes of a 5G architecture have been realistically modeled as 𝐺/𝐺/𝑚 queues which do not admit analytical solutions; 𝑖𝑖) the decomposition method useful to catch subtle quantities involved in the chain of 5G interconnected nodes has been conveniently customized. The results of performance characterization constitute the input of the availability modeling, where we design a hierarchical scheme to characterize the probabilistic failure/repair behavior of 5G nodes combining two formalisms: 𝑖) the Reliability Block Diagrams, useful to capture the high-level interconnections between nodes; 𝑖𝑖) the Stochastic Reward Networks to model the internal structure of each node. The final result is an optimal resilient 5G setting that fulfills both a performance constraint (e.g., a temporal threshold) and an availability constraint (e.g., the so-called five nines) at the minimum cost, namely, with the smallest number of redundant elements. The theoretical part is complemented by an empirical assessment carried out through Open5GS, a 5G testbed that we have deployed to realistically estimate main performance and availability metrics.

show abstract

A Latency-Driven Availability Assessment for Multi-Tenant Service Chains

Cited by 9 publications

References 56 publications

Multi-Provider IMS Infrastructure With Controlled Redundancy: A Performability Evaluation

Multi-Provider IMS Infrastructure With Controlled Redundancy: A Performability Evaluation

An improved resource allocation method for mapping service function chains based on A3C

Performance and Availability Challenges in Designing Resilient 5G Architectures

Contact Info

Product

Resources

About