1. Topic:- Autonomic Computing Presented By :- Neera Gupta
College:- U.V. Patel College Of Engineering

2. AUTONOMIC COMPUTING BY:- NEERA GUPTA VTH SEM COMPUTER ENGG. U.V.P.C.E.
MEHSANA

3. INTRODUCTION
The body’s autonomic nervous system, which controls involuntary actions without conscious awareness or involvement, has fascinated the world of medicine. So why can’t it be the same with computers?……………
Must a computer engineer or a systems administrator monitor a server round-the-clock to ensure normal operation?……………

4. AUTONOMIC CYCLE

5. CHARACTERISTICS OF SELF-MANAGING SYSTEMS

6. BENEFITS
Immediate benefits will include reduced dependence on human intervention to maintain complex systems accompanied by a substantial decrease in costs.
Long-term benefits will allow individuals, organizations and businesses to collaborate on complex problem solving.

7. CHALLENGES Scalable storage and processing power
Transparency in routing and formatting data to variable devices
Evolving chip development to better leverage memory
Improving network-monitoring functions
Smarter microprocessors that can detect errors and anticipate failures

8. PROBLEM
New demands due to simultaneous explosion of information and integration of technology into everyday life
The stability of current infrastructure, systems, and data is at an increasingly greater risk to suffer outrages and general disrepair.
Increasing system complexity is reaching a level beyond human ability to manage and secure.

9. SOLUTION
The solution may lie in automation, or creating a new capacity where important computing operations can run without the need for human intervention. This new model of computing is called autonomic computing. The good news is that some components of this technology are already up and running.

10. ELIZA
ELIZA is a program which permits natural-language conversation between a human and a computer
It is an ongoing effort to create servers that respond to unexpected capacity demands and system glitches without human intervention.
Its goals are to achieve new heights in reliability, availability and serviceability, and new lows in downtime and cost of ownership.

11. Traits Of Project Eliza
Support for dynamic clustering
Support for dynamic partitioning
EZSetUp wizards, allowing for self-installation
User authentication, directory integration and other tools to protect access to network resources
Heterogeneous enterprise-wide workload management

12. Other Examples Adaptive data flow engine
North Carolina biometrics grid
Machine check architecture (MCA)
IceCube server
Recovery-oriented computing (ROC)

13. THANK YOU