Название: Cloud Analytics for Industry 4.0 Автор: Sirisha Potluri, Sachi Nandan Mohanty Издательство: De Gruyter Серия: Smart Computing Applications Год: 2022 Страниц: 186 Язык: английский Формат: pdf (true), epub Размер: 10.2 MB
This book provides research on the state-of-the-art methods for data management in the fourth industrial revolution, with particular focus on cloud.based data analytics for digital manufacturing infrastructures. Innovative techniques and methods for secure, flexible and profitable cloud manufacturing will be gathered to present advanced and specialized research in the selected area.
Big Data, IoT, and the Cloud are digital technologies that help in improving the analytics and decision-making processes. Market leaders all around the world use the symbiotic link between IoT, Big Data, and Cloud computing to profit from innovation and achieve a competitive edge. We now have more gadgets connected to one other through the Internet than ever before, as connectivity becomes more important in our daily working and social life. For systems and communication inside organizations to be simpler, digital transition and the requirement for multiple devices get connected for easier exchange of data. The data supplied by Internet-connected devices is gathered for analysis, and patterns and trends are discovered as a result of this data collection process. The Internet of Things (IoT) is another paradigm that plays a major role in this digital world. Through different sensors, it observes the environment and generates a large quantity of data, which is commonly referred to as Big Data. For every business, regulating the storage and retrieval of this data is a challenge. Cloud computing, with its many models and deployment platforms, assists businesses in analyzing and processing data, therefore improving the overall efficiency and effectiveness of IoT systems. Cloud architecture successfully supports real-time processing, storage, and Big Data analysis at a larger scale and rapidly making a symbiotic relationship between Big Data and Cloud.
Industry 4.0 is one of the new stages in industrial development that tends to integrate Information Communication Systems and manufacturing systems. The major reason was the evolution of the Internet of Things (IoT), which is usually called Cyber-Physical Systems. Due to the adoption of this new technology, the business models getting reframed which changes the industry competition rules. It may be viewed from different perspectives from the point of adoption. When it is viewed concerning the market, the adoption of digital technologies offers a new platform and large openings for customers due to the easy access through the Internet.
IoT architecture and technologies: IoT is an interconnected embedded physical device that senses the information from the environment and transfers it to cloud storage. The sensed IoT data are transferred across various networks and physical devices via the Internet to reach the cloud. Based on the data transaction in the IoT networks, the architecture of IoT is defined. The IoT architecture consists of six different layers such as (a) perception layer, (b) connectivity layer, (c) edge layer, (d) processing layer, (e) application layer, and (f) business layer.
Review of cutting-edge technologies to fill the research gaps in industrial data, analytics, people and processes. Advanced algorithms are mined to step forward in cloud manufacturing.
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Cloud Analytics for Industry 4.0 
Название: Cloud Analytics for Industry 4.0
