scholarly journals An Integrated Power Grid Equipment Operation and Maintenance Solution Based on Big Data, Cloud Computing, the Internet of Things and Mobile Internet

2017 ◽  
Vol 5 (5) ◽  
pp. 67 ◽  
Author(s):  
Liang Dong
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Power Grid ◽  
Mobile Internet ◽  
The Internet ◽  
Equipment Operation ◽  
Operation And Maintenance ◽  
The Internet Of Things

scholarly journals Hierarchically Authorized Transactions for Massive Internet-of-Things Data Sharing Based on Multilayer Blockchain

2019 ◽  
Vol 9 (23) ◽  
pp. 5159 ◽  
Author(s):  
Shichang Xuan ◽  
Yibo Zhang ◽  
Hao Tang ◽  
Ilyong Chung ◽  
Wei Wang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Sharing ◽  
Privacy Protection ◽  
High Performance ◽  
The Internet ◽  
Blockchain Technology ◽  
And Storage ◽  
The Internet Of Things

With the arrival of the Internet of Things (IoT) era and the rise of Big Data, cloud computing, and similar technologies, data resources are becoming increasingly valuable. Organizations and users can perform all kinds of processing and analysis on the basis of massive IoT data, thus adding to their value. However, this is based on data-sharing transactions, and most existing work focuses on one aspect of data transactions, such as convenience, privacy protection, and auditing. In this paper, a data-sharing-transaction application based on blockchain technology is proposed, which comprehensively considers various types of performance, provides an efficient consistency mechanism, improves transaction verification, realizes high-performance concurrency, and has tamperproof functions. Experiments were designed to analyze the functions and storage of the proposed system.

The Rise of Big Data, Cloud, and Internet of Things

2018 ◽  
pp. 201-222 ◽  
Author(s):  
Reema Abdulraziq ◽  
Muneer Bani Yassein ◽  
Shadi Aljawarneh
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
End Users ◽  
Structured Data ◽  
The Internet ◽  
Huge Amount ◽  
Volume Velocity ◽  
The Cost ◽  
The Internet Of Things

Big data refers to the huge amount of data that is being used in commercial, industrial and economic environments. There are three types of big data; structured, unstructured and semi-structured data. When it comes to discussions on big data, three major aspects that can be considered as its main dimensions are the volume, velocity, and variety of the data. This data is collected, analysed and checked for use by the end users. Cloud computing and the Internet of Things (IoT) are used to enable this huge amount of collected data to be stored and connected to the Internet. The time and the cost are reduced by means of these technologies, and in addition, they are able to accommodate this large amount of data regardless of its size. This chapter focuses on how big data, with the emergence of cloud computing and the Internet of Things (IOT), can be used via several applications and technologies.

scholarly journals A Patent Analysis on Big Data Projects

2022 ◽  
Vol 9 (1) ◽  
pp. 1-14
Author(s):  
Gustavo Grander ◽  
Luciano Ferreira da Silva ◽  
Ernesto D. R. Santibanez Gonzalez
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Academic Research ◽  
Data Driven ◽  
The Internet ◽  
Word Classes ◽  
Patent Documents ◽  
The Internet Of Things

Studies concerning Big Data patents have been published; however, research investigating Big Data projects is scarce. Therefore, the objective of this study was to conduct an exploratory analysis of a patent database to collect information about the characteristics of registered patents related to Big Data projects. We searched for patents related to Big Data projects in the Espacenet database on January 10, 2021, and identified 109 records.. The textual analysis detected three word classes interpreted as (i) a direction to cloud computing, (ii) optimization of solutions, and (iii) storage and data sharing structures. Our results also revealed emerging technologies such as Blockchain and the Internet of Things, which are utilized in Big Data project solutions. This observation demonstrates the importance that has been given to solutions that facilitate decision-making in an increasingly data-driven context. As a contribution, we understand that this study endorses a group of researchers that has been dedicated to academic research on patent documents.

scholarly journals Security in Databases using Cloud Computing

2019 ◽  
Vol 8 (2S8) ◽  
pp. 568-570
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
The Internet ◽  
Performance Information ◽  
Web Of Things ◽  
The Internet Of Things

The initiation of the Internet of Things is the fundamental stimulus behind the current mechanical surprise. Web of things is the unavoidable aggregation of web related devices that assemble, look at and change the immense measure of colossal data at an incomparable rate. By creating and passing on sensible preprocessing frameworks, this goliath measurement of data can be transformed into performance information. The all-new IoT tremendous information development expects changes to be passed on to the present advances. The significance of preprocessing methodologies in the IoT enormous information situation has been discussed in this document and in addition to early IoT examines huge information preprocessing frameworks. Finally, a bright fresh parallel preprocessing system for IoT Big data has been suggested to transform the tough data into treasurable information so that enormous data examination of IoT performance can obtain complete recognition of this increasing growth

scholarly journals ENHANCED EDGE MODEL FOR BIG DATA IN THE INTERNET OF THINGS BASED APPLICATIONS

2019 ◽  
Vol 01 (01) ◽  
pp. 63-73 ◽  
Author(s):  
Pasumpon Pandian A
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Flow ◽  
The Internet ◽  
Network Simulator ◽  
Efficient Alternative ◽  
The Internet Of Things ◽  
Vast Range ◽  
Computing Models

The edge computing that is an efficient alternative of the cloud computing, for handling of the tasks that are time sensitive, has become has become very popular among a vast range of IOT based application especially in the industrial sides. The huge amount of information flow and the services requisition from the IOT has made the traditional cloud computing incompatible on the time of big data flow. So the paper proposes an enhanced edge model for the by incorporating the artificial intelligence along with the integration of caching to the edge for handling of the big data flow in the applications of the internet of things. The performance evaluation of the same in the network simulator 2 for enormous flow of task that are time sensitive , evinces that the proposed method has a minimized delay compared the traditional cloud computing models.

scholarly journals Modern technologies in Industry 4.0 – cyber-physical systems

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Anna Smyshlyaeva ◽  
Kseniya Reznikova ◽  
Denis Savchenko
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Physical Systems ◽  
Level Data ◽  
The Internet Of Things ◽  
Modern Technologies

With the advent of the Industry 4.0 concept, the approach to production automation has fundamentally changed. The manufacturing industry is based on such modern technologies as the Internet of Things, Big Data, cloud computing, artificial intelligence and cyber-physical systems. These technologies have proven themselves not only in industry, but also in various other branches of life. In this paper, the authors consider the concept of cyber-physical systems – systems based on the interaction of physical processes with computational ones. The article presents a conceptual model of cyber-physical systems that displays its elements and their interaction. In cyber-physical systems, it represents five levels: physical, network, data storage, processing and analytics level, application level. Cyber-physical systems carry out their work using a basic set of technologies: the Internet of things, big data and cloud computing. Additional technologies are used depending on the purpose of the system. At the physical level, data is collected from physical devices. With the help of the Internet of Things at the network level, data is transferred to a data warehouse for further processing or processed almost immediately thanks to cloud computing. The amount of data in cyber-physical systems is enormous, so it is necessary to use big data technology and effective methods for processing and analyzing this data. The main feature of this technological complex is real-time operation. Despite the improvement in the quality of production and human life, cyber-physical systems have a number of disadvantages. The authors highlight the main problems of cyber-physical systems and promising areas of research for their development. Having solved the listed problems, cyber-physical systems will reach a qualitatively new level of utility. The paper also provides examples of the implementation of concepts such as a smart city, smart grid, smart manufacturing, smart house. These concepts are based on the principle of cyber-physical systems.

scholarly journals DETERMINING THE ROLE OF BIG DATA IN DECISION-MAKING IN THE ECONOMY AND FINANCE

2020 ◽  
Author(s):  
Kateryna Nikitenko ◽  
◽  
Hanna Zhosan ◽  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Digital Technologies ◽  
Digital Economy ◽  
Cloud Services ◽  
Modern Trend ◽  
The Internet ◽  
Advantages And Disadvantages ◽  
The Internet Of Things

Consulting agency PricewaterhouseCoopers has identified eight key technologies for the digital economy: the Internet of Things and artificial intelligence - the foundation for a new generation of digital resources; robotics, drones and 3D printers - devices that help transfer the capabilities of a computer to the material world; virtual reality is also augmented - technologies that combine the physical and digital worlds; blockchain and cloud computing - a new approach to basic business accounting operations. Analysis of recent research and publications. The topic of big data is still controversial, although it is being studied by specialists in various fields (economics, information technology, politics, and others). The influence of big data on social processes and business organization, in particular, was studied by Bill Franks, Victor Mayer-Schonberger, Kenneth Kukier, Eric Siegel, John Foreman and others. Publicistic materials prevail among domestic sources, but there is a lack of fundamental works in this direction. Purpose of the article. explore the essence and practical application of revolutionary digital technologies - cloud computing, big data and the Internet of things. The article identifies the advantages and disadvantages of cloud technologies, forms a model of cloud services, discusses technologies for working with big data, analyzes the results of a Tech Pro Research survey on the use of big data, and builds a technological ecosystem of the Internet of Things. Digitization is already a reality, and the penetration of the Internet and digital technologies into traditional industries has become one of the main trends in recent years and is taking place on a global scale, which allows us to talk about the digital transformation of all sectors of the economy, social life and the formation of a new economic structure - the digital economy. The practical use of digital economy technologies is a modern trend in the socio-economic life of a modern state, actively influences consumer behavior, manifests itself in mobility and the desire of companies for continuous improvement.

scholarly journals Design of E-commerce Data Scalable Storage System Based on Mobile Internet Communication Technology

2022 ◽  
Vol 16 ◽  
pp. 595-602
Author(s):  
Jiejie Cui ◽  
Xiang Li ◽  
Yang Wang
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Storage System ◽  
Mobile Internet ◽  
Experimental Comparison ◽  
The Internet ◽  
Application Performance ◽  
Traditional System ◽  
Short Time ◽  
The Internet Of Things

The traditional encrypted storage system is inefficient when it encrypts the data of the Internet of Things, and there are few IOT data nodes that can be encrypted in a short time. In order to solve the above problems, a new Internet of Things data effective information encryption storage system is proposed. The hardware and software of the system are mainly designed. The chip selected for the collector is TTSAD251, which can expand the collection range. The processor is set with multiple cores to reduce the system power consumption. The memory uses SPRTAN-2 chip as the structure chip. The software work consists of three parts: collecting effective information of Internet of Things big data, establishing encrypted documents and storing effective information of big data of Internet of Things. In order to detect the working effect of the system, the experimental comparison with the traditional system shows that the proposed encryption storage system can improve the storage range of big data effective information of the Internet of Things by 20.58%, and the work efficiency by 5.64%. Compared with the traditional system, the designed system also has obvious advantages in the number of big data node secrets. In different files, the average number of big data information node encryption in this system is about 166,700. The experimental data show that the designed system has ideal application performance and provides a reliable basis for related fields.

THE FUTURE OF SMART INDUSTRY: TECHNOLOGIES, MACRO-TRENDS AND APPLICATION AREAS

10.6036/10342 ◽  
2021 ◽  
Vol 96 (6) ◽  
pp. 561-562
Author(s):  
MIKEL NIÑO
Keyword(s):  
Machine Learning ◽  
Cloud Computing ◽  
Big Data ◽  
Data Analysis ◽  
Internet Of Things ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Big Data Technologies ◽  
Smart Industry ◽  
The Internet Of Things

The Smart Industry has been developing has been developing at an accelerated pace since the beginning of the last decade, driven by of the last decade, driven by the by the emergence of technologies such as the Internet of Things, Compute of Things, Cloud Computing and Big Data Cloud Computing and Big Data technologies, as well as their connection and Big Data technologies, as well as their connection with machine learning algorithms for predictive data analysis [1] of data [1].

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