scholarly journals A Multi-Provider End-to-End Dynamic Orchestration Architecture Approach for 5G and Future Communication Systems

2021 ◽  
Vol 11 (24) ◽  
pp. 11914
Author(s):  
José Olimpio Rodrigues Batista ◽  
Douglas Chagas da Silva ◽  
Moacyr Martucci ◽  
Regina Melo Silveira ◽  
Carlos Eduardo Cugnasca
Keyword(s):  
Mobile Networks ◽  
Software Defined Radio ◽  
Communication Systems ◽  
Quality Parameters ◽  
Network Function Virtualization ◽  
Economic Activities ◽  
Network Function ◽  
End To End ◽  
Horizontal Handover

Network segregation is the solution adopted in the IMT-2020 standardization of the International Telecommunications Union (ITU), better known as 5G networks (Fifth Generation Mobile Networks), under development to meet the requirements of performance, reliability, energy, and economic efficiency required by applications in the various verticals of current and near-future economic activities. The philosophy adopted for the IMT-2020 standardization relies on the use of Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Software-Defined Radio (SDR), i.e., the softwarization of the network. Softwarization allows network segregation through its slicing, which is discussed herein this work. Network slicing is performed by a novel Orchestrator, as provided in IMT-2020, which maintains the end-to-end network slices independent of each other and performs horizontal handover when the possibility of a loss of Quality of Service (QoS) is predictively detected by monitoring quality parameters during operation. Therefore, the Orchestrator is dynamic, operates in uptime, and allows horizontal handover. Hence, it chooses the most appropriate telecommunication infrastructure provider and network operator to guarantee QoS and Quality of Experience (QoE) to end-users in each network segment. These features make this work modern and keep it aligned with the actions being carried out by ITU. Based on this objective, as the main result of this paper, we propose an effective architecture for implementing the Orchestrator, not only to contribute to the state of the art for 5G and beyond communication systems but also to generate economic, technological, and social impacts.

Quality of service provisioning in network function virtualization: a survey

Computing ◽  
2021 ◽  
Author(s):  
Seyedakbar Mostafavi ◽  
Vesal Hakami ◽  
Maryam Sanaei
Keyword(s):  
Quality Of Service ◽  
Network Function Virtualization ◽  
Service Provisioning ◽  
Network Function ◽  
Quality Of Service Provisioning

Exploring SDN & NFV in 5G Using ONOS & POX Controllers

2018 ◽  
Vol 10 (4) ◽  
pp. 46-60 ◽  
Author(s):  
Christos Bouras ◽  
Anastasia Kollia ◽  
Andreas Papazois
Keyword(s):  
Operating System ◽  
Mobile Networks ◽  
Data Center ◽  
Central Office ◽  
Software Defined Networking ◽  
Theoretical Research ◽  
Network Function Virtualization ◽  
Network Function ◽  
Cloud Networking ◽  
Experimental Findings

This article describes how novel functionalities will take advantage of the cloud networking and will gradually replace the existing infrastructure of mobile networks with a virtualized one. Two technologies, namely software defined networking (SDN) and network function virtualization (NFV), offer their important benefits and a combination of them is an answer to the demands raised, such as central office re-architected as a data center (CORD). Open network operating system (ONOS) and POX are SDN controllers and offer an option to combine SDN and NFV addressing many ongoing problems in the field of mobile networks. In this paper, technologies and both controllers are compared and contrasted. Indicative cases of topologies are simulated and help evaluating both controllers. According to the experimental findings, ONOS is one of the most important controllers for practical, theoretical, research and educational purposes, while POX is a useful and simpler controller for other educative applications.

scholarly journals Intent-Based End-to-End Network Service Orchestration System for Multi-Platforms

2020 ◽  
Vol 12 (7) ◽  
pp. 2782 ◽  
Author(s):  
Adeel Rafiq ◽  
Asif Mehmood ◽  
Talha Ahmed Khan ◽  
Khizar Abbas ◽  
Muhammad Afaq ◽  
...  
Keyword(s):  
Human Error ◽  
Human Interaction ◽  
Network Function Virtualization ◽  
Network Service ◽  
Service Orchestration ◽  
Network Function ◽  
5G Network ◽  
Level Information ◽  
End To End ◽  
High Level

On-demand service is the main feature of the 5G network, and Network Function Virtualization (NFV) provides it by virtualizing the existing 5G network infrastructure. NFV crafts various virtual networks on a shared physical network, but one of the core challenges in future 5G networks is to automate the modeling of Virtualized Network Functions (VNFs) and end-to-end Network Service (NS) orchestration with less human interaction. Traditionally, the descriptor of VNF and NS is created manually, which requires expert-level skills. This manual approach has a big threat of human error, which can be avoided by using the Intent-Based Networking (IBN) approach. The IBN approach eliminates the requirement of expertise for designing VNFs and NS by taking users’ intentions as an input. In this paper, the proposed system presents the Intent Management System for VNF modeling and end-to-end NS orchestration for multi-platforms. This system takes the high-level information related to a specific service, configures it accordingly, and converts it into the selected platform. The proposed system is tested using Mobile Central Office Re-architected as Data Center (M-CORD) and Open-Source Management and Orchestration (OSM) orchestrators. The results section shows that the proposed system reduces the effort of the end-user in creating network slices and provides seamless end-to-end service orchestration.

scholarly journals NFVMon: Enabling Multioperator Flow Monitoring in 5G Mobile Edge Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Enrique Chirivella-Perez ◽  
Juan Gutiérrez-Aguado ◽  
Jose M. Alcaraz-Calero ◽  
Qi Wang
Keyword(s):  
Mobile Networks ◽  
Communication Systems ◽  
Edge Computing ◽  
Mobile Edge Computing ◽  
High Definition ◽  
Flow Monitoring ◽  
Fifth Generation ◽  
New Generation ◽  
Monitoring Architecture

With the advances of new-generation wireless and mobile communication systems such as the fifth-generation (5G) mobile networks and Internet of Things (IoT) networks, demanding applications such as Ultra-High-Definition video applications is becoming ever popular. These applications require real-time monitoring and processing to meet the mission-critical quality of service requirements and are expected to be supported by the emerging fog or edge computing paradigms. This paper presents NFVMon, a novel monitoring architecture to enable flow monitoring capabilities of network traffic in a 5G multioperator mobile edge computing environment. The proposed NFVMon is integrated with the management plane of the Cloud Computing. NFVMon has been prototyped and a reference implementation is presented. It provides novel capabilities to provide disaggregated metrics related to the different 5G mobile operators sharing infrastructures and also about the different 5G subscribers of each of such mobile operators. Extensive experiments for evaluating the performance of the system have been conducted on a mid-sized infrastructure testbed.

scholarly journals Towards Optimal Parallelism-Aware Service Chaining and Embedding

2021 ◽  
Author(s):  
Danyang Zheng ◽  
Gangxiang Shen ◽  
Xiaojun Cao ◽  
Biswanath Mukherjee
Keyword(s):  
Propagation Delay ◽  
Approximate Algorithm ◽  
Network Function Virtualization ◽  
Network Function ◽  
Propagation Delays ◽  
Additional Processing ◽  
Processing Delay ◽  
End To End ◽  
Multiple Network ◽  
Service Latency

<div>Emerging 5G technologies can significantly reduce end-to-end service latency for applications requiring strict quality of service (QoS). With network function virtualization (NFV), to complete a client’s request from those applications, the client’s data can sequentially go through multiple service functions (SFs) for processing/analysis but introduce additional processing delay. To reduce the processing delay from the serially-running SFs, network function parallelism (NFP) that allows multiple SFs to run in parallel is introduced. In this work, we study how to apply NFP into the SF chaining and embedding process such that the latency, including processing and propagation delays, can be jointly minimized. We introduce a novel augmented graph to address the parallel relationship constraint among the required SFs. Considering parallel relationship constraints, we propose a novel problem called parallelism-aware service function chaining and embedding (PSFCE). For this problem, we propose a near-optimal maximum parallel block gain (MPBG) first optimization algorithm when computing resources at each physical node are enough to host the required SFs. When computing resources are limited, we propose a logarithm-approximate algorithm, called parallelism-aware SFs deployment (PSFD), to jointly optimize processing and propagation delays. We conduct extensive simulations on multiple network scenarios to evaluate the performances of our schemes. Accordingly, we find that (i) MPBG is near-optimal, (ii) the optimization of end-to-end service latency largely depends on the processing delay in small networks and is impacted more by the propagation delay in large networks, and (iii) PSFD outperforms the schemes directly extended from existing works regarding end-to-end latency.</div>

scholarly journals Path Load Adaptive Migration for Routing and Bandwidth Allocation in Mobile-Aware Service Function Chain

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 57
Author(s):  
Hefei Hu ◽  
Chen Yang ◽  
Lingyi Xu ◽  
Tangyijia Song ◽  
Bonaho Bocochi Dalia
Keyword(s):  
Failure Rate ◽  
Bandwidth Allocation ◽  
Arrival Time ◽  
Network Function Virtualization ◽  
Estimation Model ◽  
Migration Strategy ◽  
Service Function ◽  
Network Function ◽  
Service Function Chain

With network function virtualization (NFV) expanding from network center to edge, the service function chain (SFC) will gradually approach users to provide lower delay and higher-quality services. User mobility seriously affects the quality of service (QoS) provided by the mobile-aware SFC. Therefore, we must migrate the SFC to provide continuous services. In the user estimable movement scenario with a known mobile path and estimable arrival time, we establish the estimation model of user arrival time to obtain the estimated arrival time. Then, to reduce the time that the user is waiting for the migration completion, we propose a softer migration strategy migrating mobile-aware SFC before the user arrives at the corresponding access node. Moreover, for the problem of routing and bandwidth allocation (RBA), to reduce the migration failure rate, the paper proposes a path load adaptive routing and bandwidth allocation (PLARBA) algorithm adjusting the migration bandwidth according to the path load. The experimental results show that the proposed algorithm has significant advantages in reducing the user’s waiting time by more than 90%, decreasing migration failure rate by up to 75%, and improving QoS compared to the soft migration strategy and two RBA algorithms.

scholarly journals An Availability-Enhanced Service Function Chain Placement Scheme in Network Function Virtualization

2019 ◽  
Vol 8 (2) ◽  
pp. 34
Author(s):  
Yansen Xu ◽  
Ved P. Kafle
Keyword(s):  
Single Point ◽  
Computation Time ◽  
Network Services ◽  
Network Function Virtualization ◽  
Placement Problem ◽  
Service Function ◽  
Network Function ◽  
Multiple Substrate ◽  
Service Function Chain ◽  
End To End

A service function chain (SFC) is an ordered virtual network function (VNF) chain for processing traffic flows to deliver end-to-end network services in a virtual networking environment. A challenging problem for an SFC in this context is to determine where to deploy VNFs and how to route traffic between VNFs of an SFC on a substrate network. In this paper, we formulate an SFC placement problem as an integer linear programing (ILP) model, and propose an availability-enhanced VNF placing scheme based on the layered graphs approach. To improve the availability of SFC deployment, our scheme distributes VNFs of an SFC to multiple substrate nodes to avoid a single point of failure. We conduct numerical analysis and computer simulation to validate the feasibility of our SFC scheme. The results show that the proposed scheme outperforms well in different network scenarios in terms of end-to-end delay of the SFC and computation time cost.

Optimal Network Function Virtualization Realizing End-to-End Requests

2015 ◽  
Author(s):  
Tachun Lin ◽  
Zhili Zhou ◽  
Massimo Tornatore ◽  
Biswanath Mukherjee
Keyword(s):  
Network Function Virtualization ◽  
Network Function ◽  
Optimal Network ◽  
End To End
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