Architectural Design Alternatives Based on Cloud/Edge/Fog Computing for Connected Vehicles

Abstract

As vehicles playing an increasingly important role in people's daily life, requirements on safer and more comfortable driving experience have arisen. Connected vehicles (CVs) can provide enabling technologies to realize these requirements and have attracted widespread attentions from both academia and industry. These requirements ask for a well-designed computing architecture to support the Quality-of-Service (QoS) of CV applications. Computation offloading techniques, such as cloud, edge, and fog computing, can help CVs process computationintensive and large-scale computing tasks. Additionally, different cloud/edge/fog computing architectures are suitable for supporting different types of CV applications with highly different QoS requirements, which demonstrates the importance of the computing architecture design. However, most of the existing surveys on cloud/edge/fog computing for CVs overlook the computing architecture design, where they (i) only focus on one specific computing architecture and (ii) lack discussions on benefits, research challenges, and system requirements of different architectural alternatives. In this paper, we provide a comprehensive survey on different architectural design alternatives based on cloud/edge/fog computing for CVs. The contributions of this paper are: (i) providing a comprehensive literature survey on existing proposed architectural design alternatives based on cloud/edge/fog computing for CVs, (ii) proposing a new classification of computing architectures based on cloud/edge/fog computing for CVs: computation-aided and computation-enabled architectures, (iii) presenting a holistic comparison among different cloud/edge/fog computing architectures for CVs based on functional requirements of CV systems, including advantages, disadvantages, and research challenges, (iv) presenting a holistic overview on the design of CV systems from both academia and industry perspectives, including activities in industry, functional requirements, service requirements, and design considerations, and (v) proposing several open research issues of designing cloud/edge/fog computing architectures for CVs.

Efficient Healthcare Assisting Cloud Storage Strategy using Fog Prioritization Logic based on Edge Devices

“…In the year of 2020 [4], the authors "Haoxin-Wang et al, [4]" proposed a paper related to define an alternate solution to the vehicular network devices by using Cloud, Edge and Fog Computing strategies. In this paper [4], the authors described such as the vehicles participate more actively in real people lives, prerequisites for cleaner and healthier driving have emerged. Wearable devices do provide technology for completing specific and attract wide-ranging attention of both government and practitioners.…”

“…Nevertheless, much of the existing cloud/edge/fog surveys on CVs overlook computer system architecture, where I they focus only on one particular computer architecture and (ii) they fail to discuss economic advantages, proposed solutions and process needs for traditional geometric solutions. In this paper [4], an extensive survey is presented to various computer assisted cloud, edge and fog available options. This paper [4] provides an extensive study of new regulatory architecture alternative solutions predicated on cloud, edge and fog processing frameworks, in which it proposes a new cloud computing specification of edge devices and a comparative analysis of global applications numerous cloud processing literatures assistance.…”

“…In this paper [4], an extensive survey is presented to various computer assisted cloud, edge and fog available options. This paper [4] provides an extensive study of new regulatory architecture alternative solutions predicated on cloud, edge and fog processing frameworks, in which it proposes a new cloud computing specification of edge devices and a comparative analysis of global applications numerous cloud processing literatures assistance.…”

Specialty Grand Challenge: Sensor Networks

“…IoV allows vehicles to exchange information with other vehicles or transport infrastructures, denoted as vehicle-to-vehicle communications (V2V) and vehicle-to-infrastructure communications (V2I), respectively. Given its importance in future smart cities, lots of applications, such as autonomous driving, route planning, mobile sensing, accident warning systems, traffic analysis, intelligent transportation systems, IoV has captured the interests of the research communities (Wang et al, 2020). Although some solutions for the aforementioned applications have been proposed, there still exist many issues far to be solved.…”

A new fog-based routing strategy (FBRS) for vehicular ad-hoc networks

“…Fog computing is a model that spreads cloud computing and services to the edge of a network [12][13][14]. It supplies an intermediate haze layer between Cloud and mobile devices.…”