Autonomic Computing - Tomorrow's technology, today
As quickly as computer technology has advanced, so has the cost and complexity of deploying, managing and maintaining that technology. However, today's economic environment is forcing businesses to demand a real return on technology investments.
To address this paradox, several leading IT vendors are starting to look for ways to manage increasingly complex IT infrastructures so that customers can get back to focusing on the benefits technology brings to their business, rather than the technology itself. While still a mere vision that is thought to be eight to 10 years away, one ideology calls for the development of autonomic computing: computer systems that configure and manage themselves, automatically diagnose and fix their own problems, and figure out how to protect themselves in the future, thereby greatly reducing the cost and complexity of IT infrastructure.
IBM Corporation defines Autonomic Computing as an approach to self-managed computing systems with a minimum of human interference. The term derives from the body's autonomic nervous system, which controls key functions without conscious awareness or involvement.
Autonomic Computing systems are systems which are self-managed (adjust itself according to workload demands), self-healing (detect, diagnose and repair problems), self-configuring (automatically incorporate and configure new components), self-optimizing (performance tuning), and self-protecting (anticipate and defend against security breaches) resulting in ultra-reliable, robust, yet dynamically flexible systems.
The research departments at several organizations, including IBM Autonomic Computing, Microsoft .NET, Sun N1 and HP Adaptive Infrastructure, have just recently started initiatives to focus on autonomic and next generation computing. Net Integration Technologies has been developing and delivering award-winning, next generation Autonomic Computing technology since 1997.
Nitix is the first server operating system in the world that satisfies the criteria of an autonomic computing system:
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