Autonomic Computing: Fundamentals and Applications
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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.
