On Developing Smart Transportation Applications in Fog Computing Paradigm

Giang, Nam Ky; Leung, Victor C. M.; Lea, Rodger

doi:10.1145/2989275.2989286

Cited by 43 publications

(24 citation statements)

References 28 publications

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“…Apart from providing insight into the architectural and algorithmic aspects, we perform a rigorous evaluation of the literature using various assessment parameters. These assessment parameters are primarily derived from the literature of recent advances in edge computing enabled smart cities [60]- [79]. We consider five different assessment parameters, namely, context-awareness, scalability, sustainability, caching, and security for evaluation of the recent advances:…”

Section: Recent Advancesmentioning

confidence: 99%

“…Apart from these benefits, SDN offers separation of the control logic from the underlying infrastructure, which provides more freedom for adding functionality (i.e.intelligence) to a network regardless of change in hardware. Although, the proposed architecture offers significant advantages, but it does not consider the case of active service migration as in [60].…”

Section: G-enabled Software Defined Vehicular Networkmentioning

confidence: 99%

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Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

304

131

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Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which demand strict latency-aware computational processing capabilities. Although edge computing is an appealing technology to compensate for stringent latency related issues, its deployment engenders new challenges. In this survey, we highlight the role of edge computing in realizing the vision of smart cities. First, we analyze the evolution of edge computing paradigms. Subsequently, we critically review the state-of-the-art literature focusing on edge computing applications in smart cities. Later, we categorize and classify the literature by devising a comprehensive and meticulous taxonomy. Furthermore, we identify and discuss key requirements, and enumerate recently reported synergies of edge computing enabled smart cities. Finally, several indispensable open challenges along with their causes and guidelines are discussed, serving as future research directions.

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Section: Recent Advancesmentioning

confidence: 99%

Section: G-enabled Software Defined Vehicular Networkmentioning

confidence: 99%

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

304

131

View full text Add to dashboard Cite

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“…Similar to VANETs [4], we establish dynamic computational networks between personal fogs to perform the fostering. We provide no guarantees that specific connections will remain static or that the topology of our fog networks will remain the same over time.…”

Section: Fostering Devices Between Fogsmentioning

confidence: 99%

“…Giang et al [4] designed a flexible fog computing model for use with VANETs. Because VANETs suffer from high latency, using the fog by including processing on the edge would limit the amount of data which needs to be transmitted and, because of the proximity to processing nodes, lowers the latency of the communication between car and network.…”

Section: Introductionmentioning

confidence: 99%

Securing Wearables through the Creation of a Personal Fog

Walter

Riley

Gamble

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Increased reliance on wearables using Bluetooth requires additional security and privacy measures to protect these devices and personal data, regardless of device vendor. Most wearables lack the ability to monitor their communication connections and protect personal data without assistance. Attackers can force wearables to disconnect from base stations. When a wearable loses its connection to its base station, an attacker can connect to the wearable to steal stored personal data or await reconnection to the base station to eavesdrop on communications. If the base station inadvertently disconnects from the cloud serving a security-aware app, it would be unable to respond to a rapid change in the security of its current environment. We design a personal fog incorporating wearables, a base station, and the cloud that allows the wearable to be situationally aware and manage inter-and intra-fog communications, given local personal fogs with the same app.

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“…Even though same type of resources and services are offered by cloud and fog, latter has been categorized with low latency along with broader spread as well as geographically circulated nodes for supporting movement as well as interaction of actual time. However, development of applications in Fog environment [11] is tougher than the Cloud because of the dispersed nature of Fog systems. The extension of cloud computing [5] has become possible because of Fog computing.…”

Section: Introductionmentioning

confidence: 99%

A Review of Resource Scheduling in Fog based Cloud Environment

Malik¹

2019

IJRASET

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The paper has considered resource scheduling concept in fog environment. Here in this research paper the discussion has been made on cloud computing with Fog computing system. Requirement of Fog computing has been discussed here. Moreover several researches in the field of cloud and fog are explained. The research paper focuses on the scheduling algorithm for resource management. The concept of node duplication has been discussed in critical path algorithm. Such algorithms are suppose to minimize the make span time. These algorithms are performing efficiently to manage cloud resources.

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On Developing Smart Transportation Applications in Fog Computing Paradigm

Cited by 43 publications

References 28 publications

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Securing Wearables through the Creation of a Personal Fog

A Review of Resource Scheduling in Fog based Cloud Environment

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