Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures

Hou, Xueshi; Li, Yong; Chen, Min; Wu, Di; Jin, Depeng; Chen, Sheng

doi:10.1109/tvt.2016.2532863

Cited by 837 publications

(352 citation statements)

References 37 publications

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“…The need for fundamental restructuring is strongly perceived in existing cloud settings, to overcome the scalability, latency and security concerns [16], [17]. In response, analytics frameworks have been developed for validating massive datasets generated in cloud aware transport system execution and translating them to build meta-data models [18].…”

Section: Fig1: Outline Of the Proposed Modelmentioning

confidence: 99%

“…Analytics in such domains will enrich the reliability of decisions obtained in TOSCs and extend the service range to infotainment, safety, traffic scheduling etc. The underutilized vehicular resources if pooled properly, will create realm of supercomputers which can act as beds for real-time as well as offline analytics [16]. Predicting future trend from example data streams forms the basis for an online algorithm and is an efficient method for load prediction and monitoring.…”

Section: High Performance Analyticsmentioning

confidence: 99%

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Federated Cloud Analytics Frameworks in Next Generation Transport Oriented Smart Cities (TOSCs) - Applications, Challenges and Future Directions

Hussain¹,

Alam²,

Beg³

2018

EAI Endorsed Transactions on Smart Cities

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Electric, plug-in electric and plug-in hybrid electric vehicles (xEVs) are receiving a global attention from automotive industries, vehicle vendors, R&D organizations, power sectors and policymakers in the intelligent transportation era. Penetration of xEV fleet into the contemporary charging infrastructure(s) in the absence of robust integration network imbalances the power grid and potentially jeopardize the execution of emerging distributed generation systems. However, smart grid technologies in collaboration with smart charging management strategies can circumvent such operational disparities, thus enabling a reliable, efficient, consistent and optimal electric energy management in the power system. This work employs the notion of Cloud of Things (CoT) to propose a comprehensive cloud aware Transport Oriented Smart City (TOSC) framework intended to provide intelligent solutions to the contemporary transportation infrastructures in the emerging sustainable smart cities. The proposed work also demonstrates a commercially viable vehicle to cloud (V2C) fleet charging framework for charging management of xEVs through micro grids/ smart grid. The unprecedented data breeding across V2C, cloud to grid (C2G) and grid to vehicle (G2V) bidirectional communication interfaces elucidates the need for computationally efficient analytics. A state-of-the-art Big-Data to Knowledge (B2K) workflow structure is thus proposed for translating the generated data into efficient knowledge for noble decisions and inferences. Finally, the substantial Mobility as a service (MaaS) adoption challenges and data science prospects are outlined along with the emerging technologies that can co-work with the proposed framework to ensure commercial viability and optimal implementation in emerging TOSCs.

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Section: Fig1: Outline Of the Proposed Modelmentioning

confidence: 99%

Section: High Performance Analyticsmentioning

confidence: 99%

Federated Cloud Analytics Frameworks in Next Generation Transport Oriented Smart Cities (TOSCs) - Applications, Challenges and Future Directions

Hussain¹,

Alam²,

Beg³

2018

EAI Endorsed Transactions on Smart Cities

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“…Data security will also be critical. Sensitive and/or valuable data generated from any fog computing platforms should be kept secure [32].…”

Section: Privacy and Securitymentioning

confidence: 99%

Computational Viability of Fog Methodologies in IoT Enabled Smart City Architectures-A Smart Grid Case Study

Hussain¹,

Alam²,

Beg³

2018

EAI Endorsed Transactions on Smart Cities

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The gradual evolution in the Information Communication Technology (ICT) support of Smart City (SC) architecture leveraged with meshes of Internet of Things (IoT) creates and welcomes research and investment efforts from academia, R&Ds and policymakers. The IoT utilities are being deployed at every layers of a typical SG backbone namely Application layer, Energy layer and Communication layer. The geo-distributed clusters of IoT -objects‖ produce galactic volume of data that exacerbates the need to make a paradigm shift from centralized data center based processing to a hybrid model that supports both in situ as well as cloud based storage and computational resources. To combat such SC issues, Fog Computing (FC) emerges as a promising solution, which pushes the computation resources onto the network edge nodes. This work investigates the high performance of Fog Computing over generic cloud computing in terms of metrics viz. latencies, power consumption etc, through a Smart Grid (SG) use-case. Through an operational cost optimization framework, the work comprehends the suitability of fog methodologies to make a synergistic interplay with the core centered clouds thus empowering a wide breed of real-time and latency free services. Finally, an overview of the core orchestration issues, challenges, and future research directions are presented for FC enabled SCs.

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“…In order to solve computation and communication problems apart from cloud computing, some other methods are proposed using existing systems [8] but all those have certain limitations…”

Section: Alternate Proposalsmentioning

confidence: 99%

Vehicular Fog Computing: The Need for a New Paradigm and its Issues

Deepika¹,

Kiran²

2018

IJET

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Smart vehicles participating in VANET have high computing capabilities which lead the demand to support more applications that give safety and effective measures to people. The vehicles in VANET are taking the help of cloud services for communication, computation and storage which benefits in economical way and we call that as vehicular cloud computing (VCC). Due to certain limitations in VCC and also demand for more quality of service applications in smart vehicles a new paradigm called vehicular fog computing (VFC) is proposed which helps to overcome limitations in VCC and provide more quality services to users participating in VANET. Some of the security challenges and possible attacks in VFC are also stated.

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Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures

Cited by 837 publications

References 37 publications

Federated Cloud Analytics Frameworks in Next Generation Transport Oriented Smart Cities (TOSCs) - Applications, Challenges and Future Directions

Federated Cloud Analytics Frameworks in Next Generation Transport Oriented Smart Cities (TOSCs) - Applications, Challenges and Future Directions

Computational Viability of Fog Methodologies in IoT Enabled Smart City Architectures-A Smart Grid Case Study

Vehicular Fog Computing: The Need for a New Paradigm and its Issues

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