Concept Of Vehicular Cloud Research Articles

Toward Information-Centric Vehicular Cloud: Technologies, Challenges, and Opportunities

At present, road-safety problems such as traffic accidents have become increasingly serious. In the next ten years, road safety problems will lead to 13 million deaths if no effective measures are taken. Rapid retrieval of road information can prevent most traffic accidents, so it is becoming an important measure to solve road-safety problems. However, with increasing complexity and diversification of road information, an individual vehicle can no longer produce the entire traffic and road information due to limitations of visual angles and resources. In this circumstance, the concept of Vehicular Cloud (VC) is proposed to enable resource sharing and collaboration among cloud members as a solution for overcoming resource limitations. In this article, we analyze the features of VC and the advantages of the information-centric model, and propose that the information-centric model could be an ideal solution for achieving VC. Then, we discuss the open challenges encountered in enabling VC using the information-centric model, and some possible solutions.

Optimized Processing Placement Over a Vehicular Cloud

Modern vehicles equipped with on-board units (OBU) are playing an essential role in the emerging smart city revolution. The vehicular processing resources, however, are not used to their full potential. The concept of vehicular clouds is proposed to exploit the underutilized vehicular resources to supplement cloud computing services to relieve the burden on centralized cloud data centers and improve quality of service. In this paper we introduce a vehicular cloud architecture supported by fixed edge computing nodes and a central cloud data center. A mixed integer linear programming (MILP) model is developed to optimize the allocation of the processing demands in the distributed architecture while minimizing the overall power consumption. The results show power savings as high as 84% compared to processing in the conventional cloud.Variations in the test cases to include processing demand and traffic demand splitting showed power saving of 71% and 16% respectively, even for large demand volumes. A heuristic algorithm with performance approaching that of the MILP model is developed to validate the MILP model and allocate processing demands in real time.

VANETs Cloud: Architecture, Applications, Challenges, and Issues

Vehicles which are the nodes in VANETs are equipped with powerful resources to enable the safe and quick dissemination of information for reliable and trusty intelligent transportation system. These resources of vehicles can be utilized for providing support to various other new VANETs applications for enhancing the driving experience, reducing the road congestions, accidents and to promote pollution-free ITS. In order to support and promote the abovementioned tasks, a concept of vehicular cloud is getting a lot of attention nowadays. Introduction of VANETs cloud has led to the expansion in the perimeter of the capabilities of VANETs and ITS by enabling newer types of collaborations between the vehicles and also given rise to a plethora of emerging applications and services. In this study, an in-depth review covering all the possible aspects associated with VANETs cloud has been explored. To begin with, concepts like architectures, communication types supported in VANETs cloud has been analyzed. A motivation explaining the need of VANETs cloud in today’s scenario has been briefly overviewed. Then, a detailed comparison illustrating the similarities and differences between the VANETs cloud and its parent’s network i.e. VANETs is presented. In this article, our main focus is on finding the various applications that will be supported by VANETs cloud. Various challenges in terms of security, deployment and in the use of VANETs cloud has been explored. Finally, applicability of VANETs cloud with various emerging technologies like IoT, software defined networks, and cognitive radio in terms of their applications, challenges, issues, and benefits has been presented in this article. This study on the collaboration of VANETs and cloud is believed to assist the researchers working on this field to find out the current status of research in VANETs clouds along with the challenges that one can face during its deployment.

Peer‐assisted content delivery network by vehicular clouds: Algorithm and evaluation

In this paper, we study how to improve the performance of content delivery networks (CDNs) using the novel concept of vehicular clouds. Our main idea is to use a cluster of connected vehicles (ie, vehicular clouds) to act as virtual servers in CDNs in order to relieve the workload of physical CDN servers. The key benefits include guaranteed content availability/reliability in terms of mean time between failures and optimized data storage workload at vehicular clouds. Workload is an important metric as it is directly related to the latency of content delivery. Specifically, we present a content placement algorithm that has an optimal workload at vehicular clouds. Finally, we verify the system efficacy using our own simulator based on simulation of urban mobility (SUMO) and Python.

Taking VANET to the clouds

PurposeThe past decade has witnessed a growing interest in vehicular networking and its myriad applications. The initial view of practitioners and researchers was that radio‐equipped vehicles can keep the drivers informed about potential safety risks and can enhance their awareness of road conditions and traffic‐related events. This conceptual paper seeks to put forth a novel vision, namely that advances in vehicular networks, embedded devices, and cloud computing can be used to set up what are known as vehicular clouds (VCs).Design/methodology/approachThe paper suggests that VCs are technologically feasible and that they are likely to have a significant societal impact.FindingsThe paper argues that at least in some of its manifestations, the ideas behind VCs are eminently implementable under present day technology. It is also expected that, once adopted and championed by municipalities and third‐party infrastructure providers, VCs will redefine the way in which pervasive computing and its myriad applications is thought of.Research limitations/implicationsThis is a new concept for which a small‐scale prototype is being built. No large‐scale prototype exists at the moment.Practical implicationsVCs are a novel concept motivated by the realization of the fact that, most of the time, the tremendous amount of computing and communication resources available in vehicles is underutilized. Putting these resources to work in a meaningful way should have a significant societal impact.Social implicationsThe main goal of this paper is to introduce and promote the concept of VCs, a non‐trivial extension, along several dimensions, of the by‐now “classic” cloud computing. The paper shows that the concept of VCs is feasible as of today – at least in some of its manifestations – and that it can have a significant societal impact in the years to come.Originality/valueThe idea of a VC is novel and so are the potential applications that are discussed in the paper.