Fog Computing for Network Slicing in 5G Networks: An Overview

Author(s):  
Asrar AB ◽  
Malek NA ◽  
Sharaf AA
Author(s):  
Phudit Ampririt ◽  
Ermioni Qafzezi ◽  
Kevin Bylykbashi ◽  
Makoto Ikeda ◽  
Keita Matsuo ◽  
...  

The fifth generation (5G) network is expected to be flexible to satisfy quality of service (QoS) requirements, and the software-defined network (SDN) with network slicing will be a good approach for admission control. In this paper, the authors present and compare two fuzzy-based schemes to evaluate the QoS (FSQoS). They call these schemes FSQoS1 and FSQoS2. The FSQoS1 considers three parameters: slice throughput (ST), slice delay (SD), and slice loss (SL). In FSQoS2, they consider as an additional parameter the slice reliability (SR). So, FSQoS2 has four input parameters. They carried out simulations for evaluating the performance of the proposed schemes. From simulation results, they conclude that the considered parameters have different effects on the QoS performance. The FSQoS2 is more complex than FSQoS1, but it has a better performance for evaluating QoS. When ST and SR are increasing, the QoS parameter is increased. But, when SD and SL are increasing, the QoS is decreased. When ST is 0.1, SD is 0.1, SL is 0.1, and the QoS is increased by 32.02% when SR is increased from 0.3 to 0.8.


Author(s):  
Stojan Kitanov ◽  
Borislav Popovski ◽  
Toni Janevski

Because of the increased computing and intelligent networking demands in 5G network, cloud computing alone encounters too many limitations, such as requirements for reduced latency, high mobility, high scalability, and real-time execution. A new paradigm called fog computing has emerged to resolve these issues. Fog computing distributes computing, data processing, and networking services to the edge of the network, closer to end users. Fog applied in 5G significantly improves network performance in terms of spectral and energy efficiency, enable direct device-to-device wireless communications, and support the growing trend of network function virtualization and separation of network control intelligence from radio network hardware. This chapter evaluates the quality of cloud and fog computing services in 5G network, and proposes five algorithms for an optimal selection of 5G RAN according to the service requirements. The results demonstrate that fog computing is a suitable technology solution for 5G networks.


2020 ◽  
Vol 7 (5) ◽  
pp. 4278-4291 ◽  
Author(s):  
Jianbin Gao ◽  
Kwame Opuni-Boachie Obour Agyekum ◽  
Emmanuel Boateng Sifah ◽  
Kingsley Nketia Acheampong ◽  
Qi Xia ◽  
...  

2019 ◽  
Vol 65 (2) ◽  
pp. 444-453 ◽  
Author(s):  
Qi Wang ◽  
Jose Alcaraz-Calero ◽  
Ruben Ricart-Sanchez ◽  
Maria Barros Weiss ◽  
Anastasius Gavras ◽  
...  

Author(s):  
EL Hocine Bouzidi ◽  
Abdelkader Outtagarts ◽  
Abdelkrim Hebbar ◽  
Rami Langar ◽  
Raouf Boutaba

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 315
Author(s):  
Luis Guijarro ◽  
Jose Vidal ◽  
Vicent Pla

Network slicing is gaining an increasing importance as an effective way to introduce flexibility in the management of resources in 5G networks. We envision a scenario where a set of network operators outsource their respective networks to one Infrastructure Provider (InP), and use network slicing mechanisms to request the resources as needed for service provision. The InP is then responsible for the network operation and maintenance, while the network operators become Virtual Network Operators (VNOs). We model a setting where two VNOs compete for the users in terms of quality of service, by strategically distributing its share of the aggregated cells capacity managed by the InP among its subscribers. The results show that the rate is allocated among the subscribers at each cell in a way that mimics the overall share that each VNO is entitled to, and that this allocation is the Nash equilibrium of the strategic slicing game between the VNOs. We conclude that network sharing and slicing provide an attractive flexibility in the allocation of resources without the need to enforce a policy through the InP.


Author(s):  
Jyrki T. J. Penttinen

6G represents standardized communication systems that will be commercially available in 2030s. Even if the initial 5G networks, basing on the 3GPP Release 15, have hardly started become commercially available gradually as of 2019 and their large-scale deployment is still years away, industry is already keen to envision the justification and performance of the forthcoming generation. While there are no concrete 6G standards produced at this stage, their planning will benefit from realistic indications of the requirements and type of usage. The task is not straightforward as users, including a variety of verticals with their rather different communication environments, are sometimes not capable of expressing their future needs in technical terms nor industry might be able to prognosticate the demand that has not yet equivalence in preceding systems. This paper analyses some of the most important current visions of key standardization bodies and assesses indications of the industry for the potential requirements, service types, use cases, and architectural and functional models that can serve as a building block for the actual realization of the visions. This paper also presents means that can be applied in further interpretation and assessment of the vertical needs and priorities, with examples reflecting the benefits of Network Slice requirements that the GSMA North Americas Network Slicing Taskforce studied for foreseen near future environment and that may be extended to be utilized also in exploration of 6G requirements.


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