Applications of Autonomic Computing

By reading this paper you can gain the knowledge about Autonomic Computing. I detailed it under the following sub topics.

 1.0 Introduction
 2.0 Why need Autonomic?
 3.0 Major Researches 
           3.1 Research projects in Autonomic computing.
           3.2 University research projects in autonomic computing
4.0 Four basic elements of autonomic computing
           4.1self-configuring
           4.2self-healing
           4.3self-optimizing
           4.4 self-protecting
           AutonomicComputing Vs Current Computing
5.0 Autonomic computing architecture
6.0. Autonomic computing today
           6.1. Initiatives of autonomic computing 
           6.2. Benefits
           6.3. Applications
7.0 What happen if does not have autonomic in the future?
8.0 Autonomic Computing Research Issues and Challenges
9.0 Future direction of Autonomic computing
10.0 Conclusion

6.3 Applications of Autonomic Computing

Autonomic computing promises to simplify the management of computing systems. But that capability will provide the basis for much more: from seamless e-sourcing and Grid Computing, to dynamic e-business and the ability to translate business decisions that managers make to the IT processes and policies that make those decisions a reality.

E-sourcing is the ability to deliver IT as a utility, when you need it, in the amount you must have to accomplish the task at hand. Autonomic computing will create huge opportunities for these kinds of services.

Other applications include server load balancing, process allocation, monitoring power supply, automatic updating of software and drivers, pre-failure warning, memory error-correction, automated system backup and recovery, etc.

One area where autonomic computing can contribute significantly is Grid Computing. Grids, empowered with the self-managing capabilities of autonomics can revolutionize computing. And the applications are not just restricted to the IT industry alone.

There are several Grid Computing initiatives underway. The University of Pennsylvania, for instance, is building a powerful grid that aims to bring advanced methods of breast cancer diagnosis and screening to patients, while reducing costs. The Grid is a utility-like service delivered over the Internet, enabling thousands of hospitals to store mammograms in digital form. The Grid will provide analytical tools that help physicians diagnose individual cases and identify cancer ‘clusters’ in the population.

Another example is the North Carolina Biometrics Grid, accessible to thousands of researchers and educators to help accelerate the pace of genomic research that could lead to new medicines to combat diseases and develop more nutritious foods to feed the world’s population.

But autonomic computing development faces some challenges too and it may be some time before we see its implementation in applications like Grid Computing.

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