End-to-End Delay Modeling for Embedded VNF Chains in 5G Core Networks

Ye, Qiang; Zhuang, Weihua; Li, Xu; Rao, Jaya

doi:10.1109/jiot.2018.2853708

Cited by 108 publications

(41 citation statements)

References 31 publications

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“…However, given an embedded NF chain, one can model (or measure) the E2E delay, upon which an (iterative) algorithm can be developed to re-adjust the embedding solution of violated NF chains. For instance, in our previous work [37], we propose an analytical E2E packet delay modeling framework, based on queueing network modeling, for multiple embedded NF chains while taking into account the computing and transmission resource sharing. By incorporating the proposed E2E delay model, we will investigate how to develop a delay-aware NF chain embedding algorithm in our future work.…”

Section: A Joint Placement and Routing For Single-service Scenariomentioning

confidence: 99%

A Virtual Network Customization Framework for Multicast Services in NFV-Enabled Core Networks

Alhussein

Thinh

et al. 2020

IEEE J. Select. Areas Commun.

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The paradigm of network function virtualization (NFV) with the support of software defined networking (SDN) emerges as a promising approach for customizing network services in fifth generation (5G) networks. In this paper, a multicast service orchestration framework is presented, where joint traffic routing and virtual network function (NF) placement are studied for accommodating multicast services over an NFVenabled physical substrate network. First, we investigate a joint routing and NF placement problem for a single multicast request accommodated over a physical substrate network, with both single-path and multipath traffic routing. The joint problem is formulated as a mixed integer linear programming (MILP) problem to minimize the function and link provisioning costs, under the physical network resource constraints, flow conservation constraints, and NF placement rules; Second, we develop an MILP formulation that jointly handles the static embedding of multiple service requests over the physical substrate network, where we determine the optimal combination of multiple services for embedding and their joint routing and placement configurations, such that the aggregate throughput of the physical substrate is maximized, while the function and link provisioning costs are minimized. Since the presented problem formulations are NPhard, low complexity heuristic algorithms are proposed to find an efficient solution for both single-path and multipath routing scenarios. Simulation results are presented to demonstrate the effectiveness and accuracy of the proposed heuristic algorithms.

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Section: A Joint Placement and Routing For Single-service Scenariomentioning

confidence: 99%

A Virtual Network Customization Framework for Multicast Services in NFV-Enabled Core Networks

Alhussein

Thinh

et al. 2020

IEEE J. Select. Areas Commun.

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“…To exploit the full potential of network resources and optimize system performance, network slicing is adopted to allocate resources to particular users for their specific service requirements based on network virtualization technique [238], [239]. The technique has been applied in the next-generation network, and can be applied in the EVN by extending the resource allocation on power resource.…”

Section: V2g Technologymentioning

confidence: 99%

Energy and Information Management of Electric Vehicular Network: A Survey

Chen

Wang

Zhang

et al. 2020

IEEE Commun. Surv. Tutorials

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The connected vehicle paradigm empowers vehicles with the capability to communicate with neighboring vehicles and infrastructure, shifting the role of vehicles from a transportation tool to an intelligent service platform. Meanwhile, the transportation electrification pushes forward the electric vehicle (EV) commercialization to reduce the greenhouse gas emission by petroleum combustion. The unstoppable trends of connected vehicle and EVs transform the traditional vehicular system to an electric vehicular network (EVN), a clean, mobile, and safe system. However, due to the mobility and heterogeneity of the EVN, improper management of the network could result in charging overload and data congestion. Thus, energy and information management of the EVN should be carefully studied. In this paper, we provide a comprehensive survey on the deployment and management of EVN considering all three aspects of energy flow, data communication, and computation. We first introduce the management framework of EVN. Then, research works on the EV aggregator (AG) deployment are reviewed to provide energy and information infrastructure for the EVN. Based on the deployed AGs, we present the research work review on EV scheduling that includes both charging and vehicle-to-grid (V2G) scheduling. Moreover, related works on information communication and computing are surveyed under each scenario. Finally, we discuss open research issues in the EVN.

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“…We derive the throughput and delay for each queue by using the equations in (6), (7). The average delay that arrives in the first and the second base station are described below respectively.…”

Section: Scaled-up Systemmentioning

confidence: 99%

An End-to-End Performance Analysis for Service Chaining in a Virtualized Network

Fountoulakis

Liao

Παππάς

2020

IEEE Open J. Commun. Soc.

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Future mobile networks supporting Internet of Things are expected to provide both high throughput and low latency to user-specific services. One way to overcome this challenge is to adopt Network Function Virtualization (NFV) and Multi-access Edge Computing (MEC). Besides latency constraints, these services may have strict function chaining requirements. In other words, each service has to be processed by a set of network functions in a specific order. The distribution of network functions over different hosts and more flexible routing caused by service function chaining raise new challenges for end-to-end performance analysis. In this paper, as a first step, we analyze an end-to-end communications system that consists of both MEC servers and a server at the core network hosting different types of virtual network functions. We develop a queueing model for the performance analysis of the system consisting of both processing and transmission flows. To approximate the behavior of the system, we decompose the system into subsystems and analyze them independently. By doing so we are able to provide approximate analytical expressions of the performance metrics such as system drop rate, endto-end delay, and system throughput. Then, we show how to apply the similar method to an extended larger system and derive a stochastic model for systems with arbitrary number of servers at the edge.Simulation results show that our approximation model is accurate for the considered systems. We see in Section VI that the simulation and analytical results coincide. By evaluating the system under different scenarios, we provide insights for the decision making on traffic flow control and its impact on critical performance metrics.Recently, the study of the performance of networks in Virtual Network Function (VNF)/Software Defined Network (SDN) environment has attracted a lot of attention, [7]-[14]. Ye et al. [7]analyze the end-to-end delay for embedded VNF chains. They consider two types of services that traverse different VNF chains and provide the delay analysis for each different chain. 3 Miao et al. [9] provide an analytical model based on Stochastic Network Caclulus (SNC) to provide upper and lower delay bounds of a VNF chain. In their analysis, they consider both the case of bursty and non-bursty traffic. Along similar lines, Duan [8] analyzes an end-toend delay performance of service function chaining for particular services and given resources. Authors in [10]-[14], apply tools from queueing theory to evaluate the performance of systems in SDN environment. In particular, Jarschel et al. [12] study the OpenFlow architecture, where the switch is modeled as an M/M/1 queue and the controller as a feedback system of the delay-loss type M/M/1/S queue. Similarly Goto et al. [13] analyze a simple OpenFlow-based switch in SDN environment, however, they distinguish traffic from the controller and exogenous traffic. Furthermore, a reasonable amount of works consider the modeling of connected VNF as a sequence of queues where the goal is to ...

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End-to-End Delay Modeling for Embedded VNF Chains in 5G Core Networks

Cited by 108 publications

References 31 publications

A Virtual Network Customization Framework for Multicast Services in NFV-Enabled Core Networks

A Virtual Network Customization Framework for Multicast Services in NFV-Enabled Core Networks

Energy and Information Management of Electric Vehicular Network: A Survey

An End-to-End Performance Analysis for Service Chaining in a Virtualized Network

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