Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration

Nkenyereye, Lionel; Nkenyereye, Lewis; Tama, Bayu Adhi; Reddy, Alavalapati Goutham; Song, JaeSeung

doi:10.3390/s20041092

Cited by 19 publications

(16 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the growth of new generation wireless communication and intelligent vehicle techniques, vehicles equipped with wireless interfaces can offer intelligent transportation system services, such as navigation, monitoring of traffic, mobile vehicular CC, and nearby information services. The greater capacity and reduced latency communication offered by 5G mobile networks are essential for vehicles' safety in highly mobile surroundings and are essential to meet the application needs of ITS (Nkenyereye et al 2020). It may not be possible for future 5G networks to manage by themselves the evolving in-car information because of the shortage of the spectrum resources.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Design and development of a hybrid (SDN + SOM) approach for enhancing security in VANET

et al. 2021

View full text Add to dashboard Cite

Vehicular ad hoc networks (VANET) are an emergent technology with a promising future. VANETs are quite different from mobile ad hoc networks (MANETs) in terms of characteristics, challenges, system architecture, and application. One of the significant challenges of the VANET is the security from two essential points of view, the prediction and prevention attackers. In this article, we proposed an operating system that combined both software-defined network (SDN) and selforganizing map (SOM) for the 5G-based VANET system. The proposed system will be a new combination of the SDN-and a self-organizing map (SOM)-based network solution to enhance security in the two dimensions, detecting and preventing attacks. This article analysis the vulnerability of the network performance with taken into account the distributed denial of service (DDoS) attacks. Then, the security of the proposed system has been analyzed and checked with existing of the DDoS. The simulation results presented in this article show that, under general conditions of networks, the proposed system can enhance the networks performance compared to the existing work.

show abstract

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Design and development of a hybrid (SDN + SOM) approach for enhancing security in VANET

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Future research directions were also risen. The work provided in Reference 26 is limited only to SDN in the vehicular cloud networks. Architectures, applications, and virtual machine migration techniques were discussed.…”

Section: Introductionmentioning

confidence: 99%

Software‐defined networking in vehicular networks: A survey

Mekki¹,

Jabri

Rachedi

et al. 2021

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Software‐defined networking (SDN) is a new paradigm that consists in decoupling the control plane from the data plane, which offers the flexibility of configuring and managing networks. Recently, an extension of SDN to vehicular ad hoc networks (VANETs), named software‐defined vehicular networks (SDVN), has been emerged to expand the capabilities of VANET in terms of the provided services and to overcome the VANET issues. Also, SDN has gained a lot of interest to be involved in the extensions of VANET, which are vehicular cloud and vehicular fog. In this paper, we overview the use of SDN in VANET. We survey its deployment in the classic vehicular networks, 5G‐VANET, vehicular cloud, and vehicular fog. Thereafter, we discuss some case studies of SDN in the vehicular context. Then, we present a taxonomy of the existing architectures followed by the major challenges in the implementation of SDN in the vehicular context. Next, we review the tools used to simulate SDN‐based VANET scenarios. Finally, we give some future research directions.

show abstract

“…Compared to cloud computing, Fog nodes changes their state to various forms such as joining, exiting, updating, and so on owing to the moderately low figure and capacity limit of edge, edge gadget cannot run numerous VMs all the while as physical gadgets in distributed computing. In the fog computing system, multi‐edge devices are composed of VM 2,8‐10 . The efficient usage of the hardware resources, comprises of the nodes in the system, and the efficient service as well, and it hopes to shorten the idle waiting time by reducing the allocation of tasks and balancing the load.…”

Section: Introductionmentioning

confidence: 99%

“…In the fog computing system, multi-edge devices are composed of VM. 2,[8][9][10] The efficient usage of the hardware resources, comprises of the nodes in the system, and the efficient service as well, and it hopes to shorten the idle waiting time by reducing the allocation of tasks and balancing the load. Due to the dynamic nature of the system, the dynamic load balance model is needed to realize the increasing load on the fog computing system.…”

Section: Introductionmentioning

confidence: 99%

Leveraging energy‐efficient load balancing algorithms in fog computing

Singh

Kumar

Sharma

et al. 2020

Concurrency and Computation

View full text Add to dashboard Cite

Cloud computing and smart gadgets are the need of smart world these days. This often leads to latency and irregular connectivity issues in many situations. In order to overcome this issue, an emerging technique of fog computing is used for cloud and smart devices. A decentralized computing infrastructure in which all the elements, that is, storage, compute, data and the applications in use, are passed in an efficient and logical place between cloud and the data source, is called Fog computing. The cloud computing and services are generally extended by fog computing, which brings the power and advantages of data creation and data analysis at the network edge. Real-time location based services and applications with mobility support are enabled due to the physical proximity of users and high speed internet connection to the cloud. Fog computing is promoted with leveraging load balancing techniques so as to balance the load which is done in two ways, that is, static load balancing and dynamic load balancing. In this paper, different load balancing algorithms are discussed and their comparative analysis has been carried out. Round Robin load balancing is the simplest and easiest load balancing technique to be implemented in fog computing environments. The major problem of Source IP Hash load balancing algorithm is that each change can redirect to anyone with a different server, and thus, is least preferred in fog networks. The mechanisms to make energy efficient load balancing are also considered as the part of this paper.

show abstract

Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration

Cited by 19 publications

References 61 publications

RETRACTED ARTICLE: Design and development of a hybrid (SDN + SOM) approach for enhancing security in VANET

RETRACTED ARTICLE: Design and development of a hybrid (SDN + SOM) approach for enhancing security in VANET

Software‐defined networking in vehicular networks: A survey

Leveraging energy‐efficient load balancing algorithms in fog computing

Contact Info

Product

Resources

About