scholarly journals Cloud Computing, Big Data and the Industry 4.0 Reference Architectures

2018 ◽  
Vol 18 (03) ◽  
pp. e29 ◽  
Author(s):  
Nancy Velásquez ◽  
Elsa Estevez ◽  
Patricia Pesado
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information And Communication Technologies ◽  
Industry 4.0 ◽  
Communication Technologies ◽  
Reference Architecture ◽  
Architecture Model ◽  
Industrial Internet ◽  
Pyramid Model ◽  
Information And Communication

The Industry 4.0 promotes the use of Information and Communication Technologies (ICT) in manufacturing processes to obtain customized products satisfying demanding needs of new consumers. The Industry 4.0 approach transforms the traditional pyramid model of automation to a network model of interconnected services, combining operational technology (OT) with Information Technology (IT). This new model allows the creation of ecosystems enabling more flexible production processes through connecting systems and sharing data. In this context, cloud computing and big data are critical technologies for leveraging the approach. Thus, this paper analyzes cloud computing and big data under the lenses of two leading reference architectures for implementing Industry 4.0: 1) the Industrial Internet Reference Architecture (IIRA), and 2) the Reference Architecture Model Industrie 4.0 (RAMI 4.0). A main contribution of this paper is to present a comparative analysis of IIRA and RAMI 4.0, discussing needs, benefits, and challenges of applying cloud computing and big data in the Industry 4.0.

Towards a Secure, Distributed, and Reliable Cloud-Based Reference Architecture for Big Data in Smart Cities

2019 ◽  
pp. 38-70 ◽  
Author(s):  
Jens Kohler ◽  
Thomas Specht
Keyword(s):  
Big Data ◽  
Information And Communication Technologies ◽  
Traffic Management ◽  
Smart Cities ◽  
Communication Technologies ◽  
Distributed Data ◽  
Reference Architecture ◽  
Urban Services ◽  
Confidential Data ◽  
Information And Communication

Current revolutions with respect to big data affect people's everyday life more and more. New ways of living, communication, and knowledge sharing have been created under the smart city umbrella. Information and communication technologies (ICT) are used to improve urban services. Examples are car sharing, energy consumption, adaptive traffic management, etc. A closer look at these services reveals that data, produced and consumed by people (or automatically by devices), are the cornerstone for working and reliable urban services. For this, large volumes of data with a great variety have to be processed at a high velocity which is commonly known as big data. This chapter designs a secure, distributed, and reliable cloud-based reference architecture that logically separates confidential data and distributes them to various databases in different clouds. It increases the reliability of the distributed data with high-availability mechanisms to protect data against various threads (e.g., hackers, terrorists, data collecting companies, etc.).

The New “ABC” of ICTs (Analytics + Big Data + Cloud Computing)

Big Data ◽  
2016 ◽  
pp. 2165-2198
Author(s):  
José Carlos Cavalcanti
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Data Capture ◽  
Unstructured Data ◽  
Network Computing ◽  
Time Data ◽  
Trade Off ◽  
Information And Communication

Analytics (discover and communication of patterns, with significance, in data) of Big Data (basically characterized by large structured and unstructured data volumes, from a variety of sources, at high velocity - i.e., real-time data capture, storage, and analysis), through the use of Cloud Computing (a model of network computing) is becoming the new “ABC” of information and communication technologies (ICTs), with important effects for the generation of new firms and for the restructuring of those ones already established. However, as this chapter argues, successful application of these new ABC technologies and tools depends on two interrelated policy aspects: 1) the use of a proper model which could help one to approach the structure and dynamics of the firm, and, 2) how the complex trade-off between information technology (IT) and communication technology (CT) costs is handled within, between and beyond firms, organizations and institutions.

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.

The New “ABC” of ICTs (Analytics + Big Data + Cloud Computing)

2016 ◽  
pp. 152-186
Author(s):  
José Carlos Cavalcanti
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Data Capture ◽  
Unstructured Data ◽  
Network Computing ◽  
Time Data ◽  
Trade Off ◽  
Information And Communication

Analytics (discover and communication of patterns, with significance, in data) of Big Data (basically characterized by large structured and unstructured data volumes, from a variety of sources, at high velocity - i.e., real-time data capture, storage, and analysis), through the use of Cloud Computing (a model of network computing) is becoming the new “ABC” of information and communication technologies (ICTs), with important effects for the generation of new firms and for the restructuring of those ones already established. However, as this chapter argues, successful application of these new ABC technologies and tools depends on two interrelated policy aspects: 1) the use of a proper model which could help one to approach the structure and dynamics of the firm, and, 2) how the complex trade-off between information technology (IT) and communication technology (CT) costs is handled within, between and beyond firms, organizations and institutions.

Towards a Secure, Distributed, and Reliable Cloud-Based Reference Architecture for Big Data in Smart Cities

2021 ◽  
pp. 123-149
Author(s):  
Jens Kohler ◽  
Thomas Specht
Keyword(s):  
Big Data ◽  
Information And Communication Technologies ◽  
Traffic Management ◽  
Smart Cities ◽  
Communication Technologies ◽  
Distributed Data ◽  
Reference Architecture ◽  
Urban Services ◽  
Confidential Data ◽  
Information And Communication

Current revolutions with respect to big data affect people's everyday life more and more. New ways of living, communication, and knowledge sharing have been created under the smart city umbrella. Information and communication technologies (ICT) are used to improve urban services. Examples are car sharing, energy consumption, adaptive traffic management, etc. A closer look at these services reveals that data, produced and consumed by people (or automatically by devices), are the cornerstone for working and reliable urban services. For this, large volumes of data with a great variety have to be processed at a high velocity which is commonly known as big data. This chapter designs a secure, distributed, and reliable cloud-based reference architecture that logically separates confidential data and distributes them to various databases in different clouds. It increases the reliability of the distributed data with high-availability mechanisms to protect data against various threads (e.g., hackers, terrorists, data collecting companies, etc.).

Rife Information Pollution (Infollution) and Virtual Organizations in Industry 4.0

2019 ◽  
pp. 117-135 ◽  
Author(s):  
Qaisar Iqbal ◽  
Rashid Nawaz
Keyword(s):  
Information And Communication Technologies ◽  
Industry 4.0 ◽  
Relevant Literature ◽  
Communication Technologies ◽  
Quality Information ◽  
Academic Researchers ◽  
Computer Scientists ◽  
Information And Communication ◽  
Information Professionals ◽  
Academic Professionals

Information pollution, which usually refers to the overabundance of irrelevant, unsolicited, unwanted messages, is a major cause of concern for practitioners and academic researchers. Advances in the information and communication technologies has proliferated the production of information. Consequently, people are suffering from information pollution. Information pollution has made it difficult for employees and individuals to find the quality information quickly and conveniently from diverse information sources including print and electronic sources. This chapter sheds light on the relevant literature of information pollution and analyzes its causes in the Industry 4.0 era and puts forward suggestions for tackling this problem. This chapter emphasizes the significance of concrete efforts from computer scientists, academic professionals, and information professionals to devise strategies and techniques for refuting the effects of information pollution.

On Internet of Things and Big Data in University Courses

2019 ◽  
pp. 1393-1406
Author(s):  
Dmitry Namiot ◽  
Manfred Sneps-Sneppe
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Smart Cities ◽  
Communication Technologies ◽  
Machine To Machine ◽  
University Courses ◽  
Information And Communication ◽  
The University ◽  
Educational Course

In this paper, the authors discuss Internet of Things educational programs for universities. The authors' final goal is to provide a structure for a new educational course for Internet of Things and related areas such as Machine to Machine communications and Smart Cities. The Internet of Things skills are in high demands nowadays and, of course, Internet of Things models, as well as appropriate Big Data proceedings elements should have a place in the university courses. The purpose of the proposed educational course is to cover information and communication technologies used in Internet of Things systems and related areas, such as Smart Cities. The educational course proposed in this paper aims to introduce students to modern information and communication technologies and create the formation of competencies needed for such areas as Machine to Machine communications, Internet of Things, and Smart Cities. Also, the authors discuss Big Data issues for IoT course and explain the importance of data engineering.

Support for Cloud-Based Mobile Learning

2016 ◽  
pp. 225-246 ◽  
Author(s):  
Kritika Verma ◽  
Sonal Dubey ◽  
M. A. Rizvi
Keyword(s):  
Cloud Computing ◽  
Information And Communication Technologies ◽  
Mobile Learning ◽  
Communication Technologies ◽  
Information Resources ◽  
Learning System ◽  
Learning Content ◽  
The Future ◽  
Information And Communication ◽  
Current Scenario

Cloud based mobile learning (m-learning) is emerging as one of the most important branches of cloud computing, and is still in its infancy. These days, there are two emerging archetypes in Information and Communication Technologies (ICT) for learning. The first one is the anytime, anywhere, on-the-move, to be called the mobility archetype, and the second one is the cloud computing. Both archetypes are radically transforming the way we learn, communicate, access, and utilize information resources, and connect with peers and colleagues, thus affecting all aspects of education. This chapter delivers an introduction of the evolution of cloud based m-learning, benefits and characteristics of cloud based m-learning. It also canvasses the current scenario of m-learning utilizing the cloud, various challenges for implementing the m-learning system on the cloud. It further confers technologies used for cloud based m-learning. It also considers a brief look at methods for creating m-learning content and experiences, suggested by various researchers and concluded with the future aspects of the cloud based m-learning.

scholarly journals Managing Large Amounts of Data Generated by a Smart City Internet of Things Deployment

2016 ◽  
Vol 12 (4) ◽  
pp. 22-42 ◽  
Author(s):  
Jorge Lanza ◽  
Pablo Sotres ◽  
Luis Sánchez ◽  
Jose Antonio Galache ◽  
Juan Ramón Santana ◽  
...  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Communication Technologies ◽  
Added Value ◽  
Amount Of Information ◽  
Information And Communication ◽  
The City

The Smart City concept is being developed from a lot of different axes encompassing multiple areas of social and technical sciences. However, something that is common to all these approaches is the central role that the capacity of sharing information has. Hence, Information and Communication Technologies (ICT) are seen as key enablers for the transformation of urban regions into Smart Cities. Two of these technologies, namely Internet of Things and Big Data, have a predominant position among them. The capacity to “sense the city” and access all this information and provide added-value services based on knowledge derived from it are critical to achieving the Smart City vision. This paper reports on the specification and implementation of a software platform enabling the management and exposure of the large amount of information that is continuously generated by the IoT deployment in the city of Santander.

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