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Autonomic Computing in Cloud Resource Management in Industry 4.0

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Release : 2021-09-05
Genre : Technology & Engineering
Kind : eBook
Book Rating : 569/5 ( reviews)

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Book Synopsis Autonomic Computing in Cloud Resource Management in Industry 4.0 by : Tanupriya Choudhury

Download or read book Autonomic Computing in Cloud Resource Management in Industry 4.0 written by Tanupriya Choudhury. This book was released on 2021-09-05. Available in PDF, EPUB and Kindle. Book excerpt: 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 features 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

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Author :
Release : 2004
Genre : Business & Economics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Autonomic Computing by : Richard Murch

Download or read book Autonomic Computing written by Richard Murch. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces Autonomic Computing. This concept is a cornerstone of IBM's strategic initiative, and it offers great promise because autonomic computing systems have the ability to manage themselves and dynamically adapt to change in accordance with evolving or dynamic business policies and objectives. The term "autonomic" comes from the autonomic nervous system, which controls many organs and muscles in the human body. These systems can perform management activities based on situations they observe or sense in the IT environment. Rather than IT professionals initiating management activities, the system observes something about itself and acts accordingly. This allows the IT professional to focus on high-value tasks while the technology manages the more mundane operations. This book explains how this can be made to happen and the changes that need to be made to make it happen.

Optimized Cloud Resource Management and Scheduling

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Release : 2014-10-15
Genre : Computers
Kind : eBook
Book Rating : 450/5 ( reviews)

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Book Synopsis Optimized Cloud Resource Management and Scheduling by : Wenhong Dr. Tian

Download or read book Optimized Cloud Resource Management and Scheduling written by Wenhong Dr. Tian. This book was released on 2014-10-15. Available in PDF, EPUB and Kindle. Book excerpt: Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students. Explains how to optimally model and schedule computing resources in cloud computing Provides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clusters Introduces real-world applications, including business, scientific and related case studies Discusses different cloud platforms with real test-bed and simulation tools

Autonomic Computing

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Author :
Release : 2023-07-04
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Autonomic Computing by : Fouad Sabry

Download or read book Autonomic Computing written by Fouad Sabry. This book was released on 2023-07-04. Available in PDF, EPUB and Kindle. Book excerpt: What Is Autonomic Computing Autonomic computing (AC) refers to the utilization of distributed computing resources that have self-management qualities. These resources can adjust to changes that are unpredictable while masking the fundamental complexity from users and operators. This endeavor, which was started by IBM in 2001, has as its ultimate goal the creation of computer systems that are capable of managing themselves, the overcoming of the constantly increasing complexity of managing computing systems, and the reduction of the barrier that complexity poses to further expansion. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Autonomic computing Chapter 2: List of computer scientists Chapter 3: Algorithmic efficiency Chapter 4: Outline of computer science Chapter 5: Self-management (computer science) Chapter 6: Autonomic networking Chapter 7: Computer cluster Chapter 8: Cloud computing Chapter 9: Policy-based management Chapter 10: Glossary of artificial intelligence (II) Answering the public top questions about autonomic computing. (III) Real world examples for the usage of autonomic computing in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of autonomic computing' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of autonomic computing.

Autonomic Computing

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Author :
Release : 2013-05-13
Genre : Computers
Kind : eBook
Book Rating : 074/5 ( reviews)

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Book Synopsis Autonomic Computing by : Philippe Lalanda

Download or read book Autonomic Computing written by Philippe Lalanda. This book was released on 2013-05-13. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a practical perspective on autonomic computing. Through the combined use of examples and hands-on projects, the book enables the reader to rapidly gain an understanding of the theories, models, design principles and challenges of this subject while building upon their current knowledge. Features: provides a structured and comprehensive introduction to autonomic computing with a software engineering perspective; supported by a downloadable learning environment and source code that allows students to develop, execute, and test autonomic applications at an associated website; presents the latest information on techniques implementing self-monitoring, self-knowledge, decision-making and self-adaptation; discusses the challenges to evaluating an autonomic system, aiding the reader in designing tests and metrics that can be used to compare systems; reviews the most relevant sources of inspiration for autonomic computing, with pointers towards more extensive specialty literature.

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