scholarly journals Empirical Experience and Experimental Evaluation of Open5GCore over Hypervisor and Container

2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
Hung-Cheng Chang ◽  
Bo-Jun Qiu ◽  
Jyh-Cheng Chen ◽  
Tze-Jie Tan ◽  
Ping-Fan Ho ◽  
...  
Keyword(s):  
Low Cost ◽  
Practical Experience ◽  
Lessons Learned ◽  
Network Services ◽  
Network Function Virtualization ◽  
5G Networks ◽  
Time To Market ◽  
Experimental Performance ◽  
Network Function ◽  
Short Time

One of the most important technologies for future 5G networks is to utilize Network Function Virtualization (NFV) to virtualize the network components. NFV provides flexibility, short time to market, and low cost solution to build network services, which are important features of 5G networks. Although the idea of virtualization is just being applied to cellular networks, it has been used in the community of cloud computing. There are two main virtualization techniques, hypervisor and container. In this paper, we present our practical experience of virtualizing Open5GCore, a commercial product of SDN-enabled Evolved Packet Core (EPC), over hypervisor and container. In addition to describing how to virtualize Open5GCore, we also present the experimental performance evaluation of the systems. Finally, some important lessons learned are provided.

scholarly journals Using Aerial and Vehicular NFV Infrastructures to Agilely Create Vertical Services

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1342
Author(s):  
Borja Nogales ◽  
Miguel Silva ◽  
Ivan Vidal ◽  
Miguel Luís ◽  
Francisco Valera ◽  
...  
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Cost Effective ◽  
Network Services ◽  
Network Function Virtualization ◽  
Mobile Environments ◽  
Network Resources ◽  
The Public ◽  
Network Function ◽  
And Performance

5G communications have become an enabler for the creation of new and more complex networking scenarios, bringing together different vertical ecosystems. Such behavior has been fostered by the network function virtualization (NFV) concept, where the orchestration and virtualization capabilities allow the possibility of dynamically supplying network resources according to its needs. Nevertheless, the integration and performance of heterogeneous network environments, each one supported by a different provider, and with specific characteristics and requirements, in a single NFV framework is not straightforward. In this work we propose an NFV-based framework capable of supporting the flexible, cost-effective deployment of vertical services, through the integration of two distinguished mobile environments and their networks: small sized unmanned aerial vehicles (SUAVs), supporting a flying ad hoc network (FANET) and vehicles, promoting a vehicular ad hoc network (VANET). In this context, a use case involving the public safety vertical will be used as an illustrative example to showcase the potential of this framework. This work also includes the technical implementation details of the framework proposed, allowing to analyse and discuss the delays on the network services deployment process. The results show that the deployment times can be significantly reduced through a distributed VNF configuration function based on the publish–subscribe model.

scholarly journals Reconfigurable Network Stream Processing on Virtualized FPGA Resources

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Qianqiao Chen ◽  
Vaibhawa Mishra ◽  
Jose Nunez-Yanez ◽  
Georgios Zervas
Keyword(s):  
General Purpose ◽  
Network Services ◽  
Network Function Virtualization ◽  
Network Function ◽  
Software Applications ◽  
Data Plane ◽  
High Bandwidth ◽  
Network Functions ◽  
Reconfigurable Platform ◽  
On Chip

The software defined network and network function virtualization are proposed to address the network ossification issue in current Internet infrastructure. Network functions and services are implemented as software applications to increase the programmability of network. However, involving general purpose processors in data plane restricts the bandwidth of network services. Therefore, to keep both the bandwidth and flexibility, a FPGA platform is suggested as a reconfigurable platform to deliver high bandwidth virtual network functions on data plane. In this paper, the FPGA resource has been virtualized by interconnecting partial reconfigurable regions to deliver high bandwidth reconfigurable processing on network streams. With the help of partial reconfiguration technology, network functions on our platform can be configured without affecting other functions on the same FPGA device. The on-chip interconnect system is further evaluated by comparing with existing network-on-chip system. A reconfiguration process is also proposed and demonstrated that it can be performed on our platform. The process can happen in the real time of network services and it is able to keep the original function working during the download of partial bitstream.

scholarly journals Software Defined Networking and Network Function Virtualization for Service Providers using Network Slice AS a Service

2019 ◽  
Vol 9 (2) ◽  
pp. 733-737
Keyword(s):  
Service Providers ◽  
Software Defined Networking ◽  
Network Services ◽  
Network Function Virtualization ◽  
Use Case ◽  
Service Networks ◽  
Service Network ◽  
Network Slicing ◽  
Network Function ◽  
Shared Network

The traditional network is configured based on the prescribed network requirements. Sometimes the resources of the network are underutilized and at sometimes there may resource starvation because of the static configuration of the network. As against traditional network, which is operated either as dedicated network or as an overlay network, network services can be operated over a shared network infrastructure. Thus maximum resource utilization under minimal infrastructure cost can be achieved. The on-demand network requirement can be configured dynamically using network slice. The backbone of the rapidly evolving 5G technology is network slice and service networks can be benefited from it. Different network function for multiple tenants can be enabled customized using network slice with each slice operating independently. Network slice can be offered as a service to meet various requirements from the network slice tenant with different granularities. The Software Defined Networking and Network Function Virtualization are the enabling technologies for network slice. This paper discusses various network slicing use case requirements. And also OpenFlow based software defined network environment is simulated to validate the discussions. Experimental results show that the efficiency of the service network is maximized with improved reliability of service

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.

scholarly journals Virtualized ANR to Manage Resources for Optimization of Neighbour Cell Lists in 5G Mobile Wireless Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Yoonsu Shin ◽  
Songkuk Kim
Keyword(s):  
Wireless Networks ◽  
Wearable Devices ◽  
Mobile Wireless Networks ◽  
Network Function Virtualization ◽  
5G Networks ◽  
Mobile Wireless ◽  
Additional Resource ◽  
Network Function ◽  
A Cell ◽  
Superhigh Frequency

In future, more devices such as wearable devices will be connected to the networks. This will increase simultaneous handovers. The coverage of a cell will be small because a superhigh frequency used in 5G wireless networks does not propagate very far. This trend will increase the number of neighbour cell lists and it will accelerate the change of neighbour cell lists since the coverage of cells can be altered by the environment. Meanwhile, the ANR technology will be essential in 5G networks. Since the network environment in the future is not similar to the present, the strategy of ANR should also be different from the present. First, since practical neighbour cell lists in each cell are changed frequently and individually, it is necessary to optimize them frequently and individually. Second, since the neighbour cell lists in each cell are not changed similarly, it is necessary to operate ANR flexibly. To respond to these issues, we propose to use network function virtualization (NFV) for ANR. To evaluate the proposed strategies, we measured additional resource consumption and the latency of handover if neighbour cell lists are not optimized when UEs perform handover simultaneously. These experiments are conducted using Amarisoft LTE-100 Platform.

scholarly journals The Four-C Framework for High Capacity Ultra-Low Latency in 5G Networks: A Review

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3449 ◽  
Author(s):  
Kelechi ◽  
Alsharif ◽  
Ramly ◽  
Abdullah ◽  
Nordin
Keyword(s):  
New Technologies ◽  
Review Paper ◽  
Multiple Input Multiple Output ◽  
High Capacity ◽  
Network Function Virtualization ◽  
Low Latency ◽  
5G Networks ◽  
Network Function ◽  
Daunting Task ◽  
Input Multiple Output

Network latency will be a critical performance metric for the Fifth Generation (5G) networks expected to be fully rolled out in 2020 through the IMT-2020 project. The multi-user multiple-input multiple-output (MU-MIMO) technology is a key enabler for the 5G massive connectivity criterion, especially from the massive densification perspective. Naturally, it appears that 5G MU-MIMO will face a daunting task to achieve an end-to-end 1 ms ultra-low latency budget if traditional network set-ups criteria are strictly adhered to. Moreover, 5G latency will have added dimensions of scalability and flexibility compared to prior existing deployed technologies. The scalability dimension caters for meeting rapid demand as new applications evolve. While flexibility complements the scalability dimension by investigating novel non-stacked protocol architecture. The goal of this review paper is to deploy ultra-low latency reduction framework for 5G communications considering flexibility and scalability. The Four (4) C framework consisting of cost, complexity, cross-layer and computing is hereby analyzed and discussed. The Four (4) C framework discusses several emerging new technologies of software defined network (SDN), network function virtualization (NFV) and fog networking. This review paper will contribute significantly towards the future implementation of flexible and high capacity ultra-low latency 5G communications.

scholarly journals A Monitoring and Threat Detection System Using Stream Processing as a Virtual Function for Big Data

2019 ◽  
Author(s):  
Martin E. Andreoni Lopez ◽  
Otto Carlos Muniz Bandeira Duarte ◽  
Guy Pujolle
Keyword(s):  
Real Time ◽  
Detection System ◽  
Low Cost ◽  
Stream Processing ◽  
Machine Learning Algorithms ◽  
Optimal Placement ◽  
Network Function Virtualization ◽  
Threat Detection ◽  
Network Function ◽  
Minimum Number

The late detection of security threats causes a significant increase in the risk of irreparable damages, disabling any defense attempt. As a consequence, fast real-time threat detection is mandatory for security guarantees. In addition, Network Function Virtualization (NFV) provides new opportunities for efficient and low-cost security solutions. We propose a fast and efficient threat detection system based on stream processing and machine learning algorithms. The main contributions of this work are i) a novel monitoring threat detection system based on stream processing; ii) two datasets, first a dataset of synthetic security data containing both legitimate and malicious traffic, and the second, a week of real traffic of a telecommunications operator in Rio de Janeiro, Brazil; iii) a data pre-processing algorithm, a normalizing algorithm and an algorithm for fast feature selection based on the correlation between variables; iv) a virtualized network function in an open-source platform for providing a real-time threat detection service; v) near-optimal placement of sensors through a proposed heuristic for strategically positioning sensors in the network infrastructure, with a minimum number of sensors; and, finally, vi) a greedy algorithm that allocates on demand a sequence of virtual network functions.

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