A Pub/Sub-Based Fog Computing Architecture for Internet-of-Vehicles

Shin, Sangjin; Seo, Seungmin; Eom, Sungkwang; Jung, Jason J.; Lee, Kyong-Ho

doi:10.1109/cloudcom.2016.0029

Cited by 29 publications

(7 citation statements)

References 9 publications

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“…Chun et al [5] proposed a fog computing architecture that is built using a publish/subscribe model for IoV. A traffic congestion control is also suggested by the authors in the proposed scheme.…”

Section: Literature Reviewmentioning

confidence: 99%

vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities

et al. 2019

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The inception of the smart cities concept provides a compelling platform to support innovative applications. It provides distinctive view of cities, where mobile devices, pedestrians, and electronic gadgets can communicate with each other to build an effective urban environment to further improve the living standards. Similarly, the role of the Internet of Things (IoT) and vehicular computing has emerged due to smart cities. This is further complemented by edge and fog computing architectures. The emerging concept of vehicular fog computing has enabled the platform to support delay-sensitive applications and to reduce the workload on the backend networks. Vehicular fog computing is a paradigm that touches the boundaries of thinking vehicles as an infrastructures-as-a-service. The use of vehicles to provide computation on-the-move poses various challenges. The vehicles with onboard computing equipment can facilitate delay-sensitive applications. These vehicles can act as an edge device to reduce the load from a backbone network. However, due to continuous mobility, it is difficult to use traditional frameworks to distribute the computation task among vehicles. In this paper, we propose a framework termed vFog. The vFog is designed to provide computing facilities from nearby fog vehicles. The framework utilizes the onboard computing facility of vehicles without the support of roadside units (RSUs). Moreover, the proposed framework handles churn behavior and supports multi-hop communication to improve the task delivery ratio. The proposed framework allows researchers to benchmark their own task distribution algorithms over the dynamic vehicular networks. INDEX TERMS Vehicular fog computing, tasks scheduling policy, edge devices, multi-vehicle relay.

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Section: Literature Reviewmentioning

confidence: 99%

vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities

et al. 2019

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“…Publish/subscribe middleware is suitable for flexible data collection and dissemination in IoT services and also it can control the data acquisition process, saving bandwidth and reducing latency [16]. In [17], authors propose a fog computing architecture based on publish/subscribe model for Internet-of-Vehicles (IoV). They also claim that there is a need of a rich and common data model to express and propagate the knowledge and context information.…”

Section: Related Workmentioning

confidence: 99%

A Multidomain Standards‐Based Fog Computing Architecture for Smart Cities

Rampérez

Soriano

Lizcano

2018

Wireless Communications and Mobile Computing

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Many of the problems arising from rapid urbanization and urban population growth can be solved by making cities “smart”. These smart cities are supported by large networks of interconnected and widely geo-distributed devices, known as Internet of Things or IoT, that generate large volumes of data. Traditionally, cloud computing has been the technology used to support this infrastructure; however, some of the essential requirements of smart cities such as low-latency, mobility support, location-awareness, bandwidth cost savings, and geo-distributed nature of such IoT systems cannot be met. To solve these problems, the fog computing paradigm proposes extending cloud computing models to the edge of the network. However, most of the proposed architectures and frameworks are based on their own private data models and interfaces, which severely reduce the openness and interoperability of these solutions. To address this problem, we propose a standard-based fog computing architecture to enable it to be an open and interoperable solution. The proposed architecture moves the stream processing tasks to the edge of the network through the use of lightweight context brokers and Complex Event Processing (CEP) to reduce latency. Moreover, to communicate the different smart cities domains we propose a Context Broker based on a publish/subscribe middleware specially designed to be elastic and low-latency and exploit the context information of these environments. Additionally, we validate our architecture through a real smart city use case, showing how the proposed architecture can successfully meet the smart cities requirements by taking advantage of the fog computing approach. Finally, we also analyze the performance of the proposed Context Broker based on microbenchmarking results for latency, throughput, and scalability.

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“…Such scenarios are the reason why Bellavista et al [3] argue that geographical co-location should also be considered. Other domains with applications in which the value of information depends on the location of data producers and consumers include the Internet-of-Vehicle [4,5], Smart Cities [6], or Mobile Health [7].…”

Section: Introductionmentioning

confidence: 99%

GeoBroker: Leveraging geo-contexts for IoT data distribution

Hasenburg

Bermbach

2020

Computer Communications

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In the Internet of Things, the relevance of data often depends on the geographic context of data producers and consumers. Today's data distribution services, however, mostly focus on data content and not on geo-context, which could help to reduce the dissemination of excess data in many IoT scenarios. In this paper, we propose to use the geo-context information associated with devices to control data distribution. We define what geocontext dimensions exist and compare our definition with concepts from related work.Furthermore, we designed GeoBroker, a data distribution service that uses the location of things, as well as geofences for messages and subscriptions, to control data distribution. This way, we enable new IoT application scenarios while also increasing overall system efficiency for scenarios where geo-contexts matter by delivering only relevant messages. We evaluate our approach based on a proof-of-concept prototype and several experiments.

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A Pub/Sub-Based Fog Computing Architecture for Internet-of-Vehicles

Cited by 29 publications

References 9 publications

vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities

vFog: A Vehicle-Assisted Computing Framework for Delay-Sensitive Applications in Smart Cities

A Multidomain Standards‐Based Fog Computing Architecture for Smart Cities

GeoBroker: Leveraging geo-contexts for IoT data distribution

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