Autonomic computing
- 1. Topic:- Autonomic Computing Presented By :- Neera Gupta College:- U.V. Patel College Of Engineering
- 2. 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? ……………
- 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)