Autonomic Computing PPT
- 1. www.oeclib.in Submitted By: Odisha Eletronic Control Library Seminar On Autonomic Computing
- 2. CONTENTS INTRODUCTION WHAT IS AUTONOMIC COMPUTING? KEY ELEMENTS OF AUTONOMIC COMPUTING AUTONOMIC COMPUTING ARCHITECTURE AUTONOMIC MANAGER AUTONOMIC MANAGER COLLABORATION MISCELLANEOUS CHARACTERISTICS A GRAND CHALLENGE CONCLUSION REFERENCES
- 3. INTRODUCTION A software system that operates on its own or with a minimum of human interference according to a set of rules. To increase productivity while minimizing complexity for users, capable of running themselves and adjusting to varying circumstances. Control theory, adaptive algorithms, software agents, robotics, fault-tolerant computing, machine learning, artificial intelligence, and many more.
- 4. WHAT IS AUTONOMIC COMPUTING? “Autonomic Computing” is a new vision of computing initiated by IBM. This new paradigm shifts the fundamental definition of the technology age from one of computing, to one defined by data. Access to data from multiple, distributed sources, in addition to traditional centralized storage devices will allow users to transparently access information when and where they need it.
- 5. KEY ELEMENTS OF AUTONOMIC COMPUTING Knows Itself Configure Itself Optimies Itself Heal Itself Protect Itself Adapt Itself Open Itself
- 9. MANAGED ELEMENTS The managed element is a controlled system component. The managed element will essentially be equivalent to what is found in ordinary nonautonomic systems, although it can be adapted to enable the autonomic manager to monitor and control it. The sensors provide mechanisms to collect information about the state and state transition of an element. The effectors are mechanisms that change the state (configuration) of an element.
- 10. MISCELLANEOUS CHARACTERISTICS Automaticity Adaptive Aware Reflexivity Transparency Open Source Autonomicity and Evolvability Easy to train and learn
- 11. A GRAND CHALLENGE A Grand Challenge is a problem that by virtue of its degree of difficulty and the importance of its solution, both from a technical and societal point of view, becomes a focus of interest to a specific scientific community. The difficulty in developing and implementing autonomic computing is daunting enough to constitute a Grand Challenge.
- 12. CONCLUSION Is it possible to meet the grand challenge of autonomic computing without magic and without fully solving the AI problem? It is possible , but it will take time and patience. Long before we solve many of the more challenging problems, less automated realizations of autonomic systems will be extremely valuable, and their value will increase substantially as autonomic computing technology improves and earns greater trust and acceptance.
- 13. REFERENCES www.google.com www.wikipedia.com www.oeclib.in
- 14. THANKS
Editor's Notes
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