Dynamic Fog Computing

2019 ◽  
pp. 24-47
Author(s):  
SANDER SOO ◽  
Chii Chang ◽  
Seng W. Loke ◽  
Satish Narayana Srirama
Keyword(s):  
Fog Computing ◽  
Mobility Support ◽  
Task Distribution ◽  
Distribution Process ◽  
Promising Solution ◽  
The Common ◽  
Computational Resources ◽  
Edge Networks ◽  
Environmental Analytics ◽  
Computing Approach

The emerging Internet of Things (IoT) systems enhance various mobile ubiquitous applications such as augmented reality, environmental analytics, etc. However, the common cloud-centric IoT systems face limitations on the agility needed for real-time applications. This motivates the Fog computing architecture, where IoT systems distribute their processes to the computational resources at the edge networks near data sources and end-users. Although fog computing is a promising solution, it also raises a challenge in mobility support for mobile ubiquitous applications. Lack of proper mobility support will increase the latency due to various factors such as package drop, re-assigning tasks to fog servers, etc. To address the challenge, this chapter proposes a dynamic and proactive fog computing approach, which improves the task distribution process in fog-assisted mobile ubiquitous applications and optimizes the task allocation based on runtime context information. The authors have implemented and validated a proof-of-concept prototype and the chapter discusses the findings.

scholarly journals Fog Computing Approach for Mobility Support in Internet-of-Things Systems

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 36064-36082 ◽  
Author(s):  
Tuan Nguyen Gia ◽  
Amir M. Rahmani ◽  
Tomi Westerlund ◽  
Pasi Liljeberg ◽  
Hannu Tenhunen
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Mobility Support ◽  
Computing Approach

scholarly journals Additive-Free Formic Acid Dehydrogenation Catalyzed by a Cobalt Complex

2020 ◽  
Author(s):  
Nicolas Lentz ◽  
Alicia Aloisi ◽  
Pierre Thuéry ◽  
Emmanuel Nicolas ◽  
Thibault Cantat
Keyword(s):  
Formic Acid ◽  
Cobalt Complex ◽  
Intermediate Formation ◽  
Mechanistic Study ◽  
Catalytic Dehydrogenation ◽  
Turnover Number ◽  
Promising Solution ◽  
The Common ◽  
Safe Transport ◽  
Formic Acid Dehydrogenation

The reversible storage of hydrogen through the intermediate formation of Formic Acid (FA) is a promising solution to its safe transport and distribution. However, the common necessity of using bases or additives in the catalytic dehydrogenation of FA is a limitation. In this context, two new cobalt complexes (<b>1</b> and <b>2</b>) were synthesized with a pincer PP(NH)P ligand containing a phosphoramine moiety. Their reaction with an excess FA yields a cobalt(I)-hydride complex (<b>3</b>). We report here the unprecedented catalytic activity of <b>3</b> in the dehydrogenation of FA, with a turnover frequency (TOF) of 4000 h<sup>-1</sup> and a turnover number (TON) of 454, without the need for bases or additives. A mechanistic study reveals that the ligand has a non-innocent behaviour due to intermolecular hydrogen bonding, which is influenced by the concentration of formic acid

scholarly journals Fog Computing-Based Differential Positioning Method for BDS

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Lina Wang ◽  
Linlin Li
Keyword(s):  
Fog Computing ◽  
Satellite Navigation ◽  
Original Data ◽  
Mobility Support ◽  
Positioning Systems ◽  
Satellite Navigation System ◽  
Differential Positioning ◽  
Positioning Method ◽  
Positioning Algorithm ◽  
Positioning Time

As one of the four global satellite navigation and positioning systems, BeiDou satellite navigation system (BDS) has received increasingly more attention. The differential positioning technology of BDS has greatly enhanced its accuracy and meets the needs of high-precision applications, but its positioning time still has much room for improvement. Fog computing allows the use of its services with low latency and mobility support to make up for the disadvantages of differential positioning algorithm. The paper proposes the fog computing-based differential positioning (FCDP) method which introduces fog computing technology to BDS. Compared with the original data center-based differential positioning (DCDP) method, the simulation results demonstrate that the FCDP method decreases the latency of positioning, while assuring the positioning accuracy.

A replication and migration strategy on the hierarchical architecture in the fog computing environment

2020 ◽  
Vol 16 (3) ◽  
pp. 291-307
Author(s):  
Ahmed Berkennou ◽  
Ghalem Belalem ◽  
Said Limam
Keyword(s):  
Fog Computing ◽  
Hierarchical Architecture ◽  
Computing Environment ◽  
Huge Amount ◽  
Migration Strategy ◽  
Replication Strategy ◽  
Promising Solution ◽  
Network Usage ◽  
And Migration ◽  
Do So

Connecting objects have increasingly become popular in recent years, leading to the connection of more than 50 billion objects by the end of 2020. This large number of objects will generate a huge amount of data that is currently being processed and stored in the cloud. Fog Computing presents a promising solution to the problems of high latency and huge network traffic encountered in the cloud. As Fog’s infrastructures are dense, heterogeneous and geo-distributed, managing the data in order to satisfy users demand in such context is very complicated. In this work, we propose a data management strategy called ‘RMS-HaFC’ in which we consider the characteristics of Fog Computing environment. To do so, we proposed a hierarchical multi-layer model, on which we designed a migration and replication strategy based on data popularity. These strategies duplicate files dynamically and store them in different locations to improve the response time of users requests and minimize the system energy consumption without loading network usage. The strategy was evaluated using the iFogSim simulator and the experimental results obtained are very promising.

scholarly journals Classification of Metro Facilities with Deep Neural Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Deqiang He ◽  
Zhou Jiang ◽  
Jiyong Chen ◽  
Jianren Liu ◽  
Jian Miao ◽  
...  
Keyword(s):  
Neural Networks ◽  
Computer Vision ◽  
Learning Technology ◽  
Deep Convolutional Neural Networks ◽  
Research Fields ◽  
Human Labor ◽  
Train Operation ◽  
The Common ◽  
Automatic Train Operation ◽  
Computational Resources

Metro barrier-detection has been one of the most popular research fields. How to detect obstacles quickly and accurately during metro operation is the key issue in the study of automatic train operation. Intelligent monitoring systems based on computer vision not only complete safeguarding tasks efficiently but also save a great deal of human labor. Deep convolutional neural networks (DCNNs) are the most state-of-the-art technology in computer vision tasks. In this paper, we evaluated the effectiveness in classifying the common facility images in metro tunnels based on Google’s Inception V3 DCNN. The model requires fewer computational resources. The number of parameters and the computational complexity are much smaller than similar DCNNs. We changed its architecture (the last softmax layer and the auxiliary classifier) and used transfer learning technology to retrain the common facility images in the metro tunnel. We use mean average precision (mAP) as the metric for performance evaluation. The results indicate that our recognition model achieved 90.81% mAP. Compared with the existing method, this method is a considerable improvement.

scholarly journals Analysis of using the Category Management in distribution process

2012 ◽  
Vol 50 (No. 9) ◽  
pp. 423-428
Author(s):  
M. Záboj
Keyword(s):  
Business Processes ◽  
Customer Relations ◽  
Distribution Channel ◽  
Category Management ◽  
Modern Information Technology ◽  
Is Management ◽  
Distribution Process ◽  
The Common ◽  
Modern Information ◽  
Retail Shop

The paper deals with the very actual sphere of new conceptions in frame of supplier-customer relations between trade firms and their suppliers. The common idea is management of the distribution channel by the method it would create consumer feeling that the retail shop satisfies his wants and gives him the greatest benefit with the most favourable price. Presumption for realisation of this goal becomes the implementation of a&nbsp;new phenomenon, so-called &ldquo;Category Management&rdquo; to current business processes using modern information technology.

A Fog Computing Approach for Predictive Maintenance

2019 ◽  
pp. 139-147
Author(s):  
Tania Cerquitelli ◽  
David Bowden ◽  
Angelo Marguglio ◽  
Lucrezia Morabito ◽  
Chiara Napione ◽  
...  
Keyword(s):  
Fog Computing ◽  
Predictive Maintenance ◽  
Computing Approach

Proactive Mobile Fog Computing Using Work Stealing

Fog Computing ◽  
2018 ◽  
pp. 264-283
Author(s):  
SANDER SOO ◽  
Chii Chang ◽  
Seng W. Loke ◽  
Satish Narayana Srirama
Keyword(s):  
Moving Objects ◽  
Fog Computing ◽  
Data Sources ◽  
Work Stealing ◽  
Computing Architecture ◽  
Network Nodes ◽  
Edge Network ◽  
Computational Data ◽  
Distribution Process ◽  
The Internet Of Things

A common design of the Internet of Things (IoT) system relies on distant Cloud for management and processing, which faces the challenge of latency, especially when the application requires rapid response in the edge network. Therefore, researchers have proposed the Fog computing architecture, which distributes the computational data processing tasks to the edge network nodes located in the vicinity of data sources and end-users to reduce the latency. Although the Fog computing architecture is promising, it still faces a challenge in mobility when the tasks come from ubiquitous mobile applications in which the data sources are moving objects. In order to address the challenge, this article proposes a proactive Fog service provisioning framework, which hastens the task distribution process in Mobile Fog use cases. Further, the proposed framework provides an optimization scheme in task allocation based on runtime context information. A proof-of-concept prototype has been implemented and tested on real devices.

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