Название: Autonomic Computing in Cloud Resource Management in Industry 4.0 Автор: Tanupriya Choudhury, Bhupesh Kumar Издательство: Springer Год: 2021 Страниц: 411 Язык: английский Формат: pdf (true), epub Размер: 56.8 MB
This book describes the next generation of industry - Industry 4.0 - and how it holds the promise of increased flexibility in manufacturing, along with automation, better quality, and improved productivity. The authors discuss how it thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. The authors posit that intelligent cloud services and resource sharing play an important role in Industry 4.0 anticipated Fourth Industrial Revolution. This book serves the different issues and challenges in cloud resource management (CRM) techniques with proper propped solution for IT organizations. The book has 21 chapters based on the characteristics of autonomic computing with its applicability in CRM. Each chapter features the techniques and analysis of each mechanism to make better resource management in cloud.
Autonomic Computing is an operating environment that is on demand and responds to problems, threats, and failures automatically. It provides a computing environment that can manage itself and dynamically adapt to change. In a self-managing computing environment, system components such as hardware (desktop computers, storage units, and servers) and software (business applications, middleware, and operating system) include embedded control loop functionality.
Autonomic computing has emerged as a backbone of major computing and communication paradigms and their application-oriented convergences. These technology paradigms in computing and communication fields share some common features and artifacts. First, in the modern computing environments, pervasive and ubiquitous system models have been getting rapid popularity; nevertheless, they need to be highly reliable, high available, interoperable, and enormously scalable. Second, these systems are required to be autonomic in operations to support the self-controlled and self-managed dynamic discovery of resources worldwide.
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Autonomic Computing in Cloud Resource Management in Industry 4.0 
Название: Autonomic Computing in Cloud Resource Management in Industry 4.0
