scholarly journals Simplified swarm optimization for optimal deployment of fog computing system of industry 4.0 smart factory

2019 ◽  
Vol 1411 ◽  
pp. 012005
Author(s):  
Wei-Chang Yeh ◽  
Chyh-Ming Lai ◽  
Jr-Yu Tsai
Keyword(s):  
Industry 4.0 ◽  
Fog Computing ◽  
Computing System ◽  
Smart Factory ◽  
Swarm Optimization ◽  
Optimal Deployment

INTELLIGENT DISTRIBUTED DYNAMIC FOG COMPUTING FRAMEWORK

2021 ◽  
Author(s):  
А.Н. ВОЛКОВ
Keyword(s):  
Fog Computing ◽  
Computing System ◽  
Limited Resources ◽  
Swarm Optimization ◽  
Communications Networks ◽  
Software Migration ◽  
Distributed Structures ◽  
Computing Framework ◽  
Distributed Computing Infrastructure ◽  
New Framework

Одним из направлений развития сетей связи 5G и сетей связи 2030 является интегрирование в сеть распределенных вычислительных структур, таких как системы пограничных и туманных вычислений (Fog), которые призваны выполнить децентрализацию вычислительной части сетей. В связи с этим необходимо исследовать и определить принципы предоставления услуг на основе распределенной вычислительной инфраструктуры, в том числе в условиях ограниченности ресурсов отдельно взятых составных частей (Fog-устройства). Предлагается новый фреймворк распределенной динамической вычислительной системы туманных вычислений на основе микросервисного архитектурного подхода к реализации, развертыванию и миграции программного обеспечения предоставляемых услуг. Исследуется типовая архитектура микросервисного подхода и ее имплементация в туманные вычисления, а также рассматриваются два алгоритма: алгоритм K-средних для нахождения центра пользовательской нагрузки и алгоритм роевой оптимизации для определения устройства тумана с необходимыми характеристиками для последующей миграции микросервиса. One of the directions of 5G and 2030 communications networks development is the network-integrated distributed structures, such as edge computing (MEC) and Fog computing, which are designed to decentralize the computing part of networks. In this regard, it is necessary to investigate and determine the principles of providing services based on a distributed computing infrastructure, including in conditions of limited resources of individual components (Fog devices). This article proposes a new framework for a distributed dynamic computing system of fog computing based on a microservice architectural approach to the implementation, deployment, and software migration of the services. The article examines the typical architecture of the microservice approach and its implementation in fog computing, and also investigates two algorithms: K-means for finding the center of user load, swarm optimization (PSO) to determine the fog device with the necessary characteristics for the subsequent migration of the microservice.

A Multi-Layered framework for Internet of Everything (IoE) via Wireless Communication and Distributed Computing in Industry 4.0

2019 ◽  
Vol 13 ◽  
Author(s):  
Srinidhi Hiriyannaiah ◽  
L M Patnaik ◽  
Sidddesh G M ◽  
Srinivasa K G
Keyword(s):  
Smart Grid ◽  
Industry 4.0 ◽  
Oil And Gas ◽  
Fog Computing ◽  
Industrial Applications ◽  
Smart Factory ◽  
Industrial Evolution ◽  
Layered Architecture ◽  
Industrial Internet ◽  
Smart Agriculture

: In the recent years, due to the proliferation of internet and smart computing there has been progress in the areas of energy, manufacturing, oil and gas, smart grid and other industrial applications. The progress in these areas is due to the advances in the emerging areas such as Big data, cloud computing, fog computing and wireless networks. The advancement in these areas has paved the way for new industrial evolution, Industry 4.0 or smart factory or Industrial internet of things (IIoT). IIoT is made up of a collection of devices, with each device being able to monitor, collect, exchange, analyze and take decisions intelligently based on the environment through proper communication channels. IIoT consists of smart solutions in the fields of electricity (smart-grid), home automation (smart-home), supply-chains (smart-automation) and agriculture (smart-agriculture). The interconnection among the different smart components of IIoT is a key requirement for IIoT systems. In this paper, a novel three-layered architecture is proposed to handle the heterogeneity of components of IIoT and thus providing a way for digital transformation of IIoT systems. The paper also provides an overview of underlying components, principles, communication standards and enabling technologies for IIoT or smart factory.

Industrie 4.0 in der Textilindustrie*/Industry 4.0 - Integrated Industry in the textile industry: Smart factory approaches with a special focus on textile products and processes

2015 ◽  
Vol 105 (04) ◽  
pp. 195-199
Author(s):  
R. Riedel ◽  
N. Göhlert ◽  
E. Müller
Keyword(s):  
Textile Industry ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrie 4.0 ◽  
Smart Factory ◽  
Special Focus ◽  
Considerable Potential ◽  
Textile Products

Industrie 4.0 bietet für die produzierende Industrie in Deutschland erhebliche Potentiale zur Steigerung der Wettbewerbsfähigkeit. Die Anwendung und volle Ausnutzung der Möglichkeiten entsprechender Technologien sind jedoch an bestimmte Voraussetzungen gebunden. Der Fachbeitrag reflektiert vor diesem Hintergrund die Umsetzungspotentiale von Industrie 4.0 in der Textilindustrie.   Industry 4.0, also called Integrated Industry, provides considerable potential for the manufacturing industry in Germany to increase its competitiveness. However, the application and the full exploitation of the potential of those technologies depend on certain conditions. Against this background, the article reflects on the implementation potential of Industrie 4.0 in the textile industry.

scholarly journals Modeling industry 4.0 based fog computing environments for application analysis and deployment

2019 ◽  
Vol 91 ◽  
pp. 48-60 ◽  
Author(s):  
Nandor Verba ◽  
Kuo-Ming Chao ◽  
Jacek Lewandowski ◽  
Nazaraf Shah ◽  
Anne James ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Fog Computing ◽  
Application Analysis ◽  
Computing Environments

Business process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory

2018 ◽  
Vol 60 (3) ◽  
pp. 133-141 ◽  
Author(s):  
Jana-Rebecca Rehse ◽  
Sharam Dadashnia ◽  
Peter Fettke
Keyword(s):  
Business Process ◽  
Industry 4.0 ◽  
Business Process Management ◽  
Manufacturing Industry ◽  
Process Management ◽  
Process Mining ◽  
Smart Factory ◽  
Manufacturing Processes ◽  
Planning And Control ◽  
And Control

Abstract The advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated “smart factory” built out of LEGO® bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory.

The Role of Edge/Fog Computing Security in IoT and Industry 4.0 Infrastructures

2021 ◽  
pp. 211-222
Author(s):  
Meltem Mutluturk ◽  
Burcu Kor ◽  
Bilgin Metin
Keyword(s):  
Cloud Computing ◽  
Information And Communication Technologies ◽  
Industry 4.0 ◽  
Fog Computing ◽  
Communication Technologies ◽  
The Internet ◽  
Current State ◽  
Information And Communication ◽  
The Internet Of Things

The development of information and communication technologies (ICT) has led to many innovative technologies. The integration of technologies such as the internet of things (IoT), cloud computing, and machine learning concepts have given rise to Industry 4.0. Fog and edge computing have stepped in to fill the areas where cloud computing is inadequate to ensure these systems work quickly and efficiently. The number of connected devices has brought about cybersecurity issues. This study reviewed the current literature regarding edge/fog-based cybersecurity in IoT to display the current state.

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