scholarly journals Communication Scheduling for Control Performance in TSN-based Fog Computing Platforms

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Mohammadreza Barzegaran ◽  
Paul Pop
Keyword(s):  
Fog Computing ◽  
Control Performance ◽  
Communication Scheduling ◽  
Computing Platforms

scholarly journals Review and Analysis of Cloud and Fog Computing Platforms

2020 ◽  
Vol 2 (7) ◽  
pp. 75-81
Author(s):  
Suneetha V ◽  
Salini Suresh ◽  
Tejaswini S Majjigi ◽  
Pavitra Karabasallavar
Keyword(s):  
Fog Computing ◽  
Computing Platforms

scholarly journals Improving Data Locality in P2P-based Fog Computing Platforms

2018 ◽  
Vol 141 ◽  
pp. 72-79 ◽  
Author(s):  
Luiz Angelo Steffenel ◽  
Manuele Kirsch Pinheiro
Keyword(s):  
Fog Computing ◽  
Data Locality ◽  
Computing Platforms

scholarly journals FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Manuel Castillo-Cara ◽  
Edgar Huaranga-Junco ◽  
Milner Quispe-Montesinos ◽  
Luis Orozco-Barbosa ◽  
Enrique Arias Antúnez
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Node ◽  
Fog Computing ◽  
Building Blocks ◽  
Wireless Sensor ◽  
Network Resilience ◽  
Wireless Sensor Node ◽  
Smart Power ◽  
Computing Platforms

Over the past few years, we have witnessed the widespread deployment of wireless sensor networks and distributed data management facilities: two main building blocks of the Internet of things (IoT) technology. Due to the spectacular increase on the demand for novel information services, the IoT-based infrastructures are more and more characterized by their geographical sparsity and increasing demands giving rise to the need of moving from a cloud to a fog model: a novel deployment paradigm characterized by the provisioning of elastic resources geographically located as close as possible to the end user. Despite the large number of wireless sensor networks already available in the market, there are still many issues to be addressed on the design and deployment of robust network platforms capable of meeting the demand and quality of fog-based systems. In this paper, we undertake the design and development of a wireless sensor node for fog computing platforms addressing two of the main issues towards the development and deployment of robust communication services, namely, energy consumption and network resilience provisioning. Our design is guided by examining the relevant macroarchitecture features and operational constraints to be faced by the network platform. We based our solution on the integration of network hardware platforms already available on the market supplemented by smart power management and network resilience mechanisms.

scholarly journals Smart Probabilistic Fingerprinting for Indoor Localization over Fog Computing Platforms

2016 ◽  
Author(s):  
Andrea Sciarrone ◽  
Claudio Fiandrino ◽  
Igor Bisio ◽  
Fabio Lavagetto ◽  
Dzmitry Kliazovich ◽  
...  
Keyword(s):  
Indoor Localization ◽  
Fog Computing ◽  
Computing Platforms

Fog Computing as Solution for IoT-Based Agricultural Applications

2021 ◽  
pp. 46-68
Author(s):  
Amany Sarhan
Keyword(s):  
Fog Computing ◽  
Internet Of Vehicles ◽  
Open Platform ◽  
Comprehensive Method ◽  
Agricultural Applications ◽  
User Centric ◽  
Computing Platforms ◽  
Iot Devices ◽  
Reduced Time ◽  
Computing Approach

Fog computing is a developing computing approach to extend and assist cloud computing. Fog computing platforms have several characteristics help providing the services for the users in a reduced time manner and thus improve the QoS of the IoT devices such as being close to edge-users, being open platform, and its support for mobility. Thus, it is becoming a necessary approach for user-centric IoT-based applications that involve real-time operations, for example, agricultural applications, internet of vehicles, road monitoring, and smart grid. In this chapter, the present characterizations of fog computing, its architectures and a comprehensive method of how it is used to handle IoT-based agricultural applications are discussed. The chapter also presents some of these possible applications highlighting how they could benefit from the fog layer in providing better services.

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