Autonomic Computing - Fundamentals and Applications

Fouad Sabry

Maison d'édition: One Billion Knowledgeable

Synopsis

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.

Disponible depuis: 04/07/2023.

Longueur d'impression: 214 pages.

Science et Technologie

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