Application-Driven End-to-End Slicing: When Wireless Network Virtualization Orchestrates With NFV-Based Mobile Edge Computing

Han, Kai; Li, Shengru; Tang, Shaofei; Huang, Huibai; Zhao, Sicheng; Fu, Guilu; Zhu, Zuqing

doi:10.1109/access.2018.2834623

Cited by 48 publications

(21 citation statements)

References 34 publications

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“…Han et al [15] propose creating end-to-end (E2E) network slices to carry specific applications with QoS guarantees. By means of SDN, a physical Access Point (AP) is virtualized to create different virtual APs (vAPs).…”

Section: State Of the Artmentioning

confidence: 99%

NFV and SDN-Based Differentiated Traffic Treatment for Residential Networks

et al. 2020

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Residential networks play a critical role in assuring that services or applications such as tele-work, tele-education, medical care, entertainment, home automation, among others, have the required resources to obtain an optimal performance. Although current residential gateways try to meet the Quality of Service (QoS) demands, the traditional networking paradigm does not have the appropriate mechanisms to address the heterogeneous and dynamic nature of the services running at home. In this context, a feasible solution consists of leveraging the flexibility and adaptability of the Software Defined Networking (SDN) and Network Functions Virtualization (NFV) paradigms to provide a differentiated traffic treatment intended to improve the QoS support of residential networks. The proposal takes advantage of the Service Function Chaining (SFC) concept intrinsic to NFV as well as the capacity of an SDN-based residential gateway to differentiate the traffic of a certain application. Thus, an association between an SFC and the differentiated traffic is stablished to apply a specific treatment. Besides, a comprehensive architecture composed of the software defined residential network (SDRN), the software defined access network (SDOAN) and the NFV-compliant ISP's edge cloud infrastructure is envisioned. This architecture would allow dramatically improving the life cycle management of the residential network from a centralized point which follows a user-centric approach. INDEX TERMS Software defined networks, network functions virtualization, quality of service, service function chaining, residential network management applications.

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Section: State Of the Artmentioning

confidence: 99%

NFV and SDN-Based Differentiated Traffic Treatment for Residential Networks

et al. 2020

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“…Researches in the field of network slicing are mainly concentrated on resource allocation problems and orchestration, such as [9], and the service-slice mapping policy they use is static. Virtual network embedding (VNE) Problem [10] received considerable interest in recent years.…”

Section: State Of Artmentioning

confidence: 99%

An Approach for Virtualized Network Slices Planning in Multiservice Communication Environment

Globa

Sulima

Skulysh

et al. 2019

Information and Telecommunication Sciences

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Background. Nowadays we face a huge growth in traffic of mobile networks due to the increased usage of smartphones and other mobile devices. To overcome these challenges and improve the efficiency of the network telecom operators use the advanced architectural solutions. These solutions are based on the concept of network slices. Objective. In this paper the improving of the efficiency of mobile networks by forming and mapping slices of multi-service communication network based on network functions virtualization (NFV) is considered as an effective approach to resolve the mentioned above issues. Methods. In order to find the optimal organization of slices the modified algorithm was proposed and performed for several different thresholds of functional losses. Results. The algorithm solves the task of services grouping by their similarity and defines functional costs for services provision with minimum functional losses. Number of slices and functional losses in accordance with various threshold values were considered. Conclusions. The results showed the possibility to rationally allocate system resources, especially when comparing to the similar approach. The further researches will be dedicated to more detailed analysis of the proposed approach with the aim of defining the optimal threshold values of functional losses.

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“…Although the above solutions can use in a more efficient way, they still cannot fulfill the performance requirements of the growing heterogeneous wireless network communications. Specifically, with the advent of the Great Age on the Internet, various devices such as IoT, smart devices and wearable devices are on the rise [9]. To improve the usage efficiency of 5G communication resources, one of the primary problems is how to flexibly allocate existing communication resources [10] [11].…”

Section: Introductionmentioning

confidence: 99%

Fine-Grained Management in 5G: DQL Based Intelligent Resource Allocation for Network Function Virtualization in C-RAN

Zhang

Dong

Ota

2020

IEEE Trans. Cogn. Commun. Netw.

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Recently, the installation of 5G networks offers a variety of real-time, high-performance and human-oriented customized services. However, the current laying 5G structure is unable to meet all of the growing communication needs by these new emerging services. In this paper, we propose a DQL (Deep Q-learning Network) based intelligent resource management method for 5G architecture, to improve the quality of service (QoS) under limited communication resources. In the environment of network function virtualization (NFV), we aim at improving the efficient usage of spectrum resources. In this two-step solution, our first goal is to guarantee the maximum communication quality with the smallest number of infrastructures. Then, a DQL-based wireless resource allocation algorithm is designed to realize the elaborate operation. Unlike previous studies, our system can provide the allocation policy in a more subdivided way and finally maximize the usage of bandwidth resources. The simulation also shows that our proposed MSIO improves 3.12% in the performance of the maximum coverage importance problem and the ARODQ algorithm improves 4.05% than other standard solutions.

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Application-Driven End-to-End Slicing: When Wireless Network Virtualization Orchestrates With NFV-Based Mobile Edge Computing

Cited by 48 publications

References 34 publications

NFV and SDN-Based Differentiated Traffic Treatment for Residential Networks

NFV and SDN-Based Differentiated Traffic Treatment for Residential Networks

An Approach for Virtualized Network Slices Planning in Multiservice Communication Environment

Fine-Grained Management in 5G: DQL Based Intelligent Resource Allocation for Network Function Virtualization in C-RAN

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