Risks associated with Autonomic Computing | WisdomPlexus

What is Autonomic Computing?

IBM coined the term Autonomic Computing in the year 2001. It is a self-computing model designed to make systems self-secured and self-functioning. The basic concept of this model is “human nervous system” similar to it Autonomic Computing also works and performs without input from its user. It is an excellent example of artificial intelligence, which can manage high-level functioning without any user engagement.

Things to consider while adoption.Besides having several benefits, you must have a check on its darker side too, i.e. the risks associated with it which may lead to your business loss.

Disadvantages of Autonomic Computing are:

  1. It is internet dependent which means it does perform poor in case of weak internet connection or no internet connection.
  2. As it is self-performing, sometimes it gets complicated for the end user to detect the error occurred.
  3. Software programming is robust to improve in case of cluster computing where more than two systems are connected locally.
  4. Organizational Changes are must for adapting autonomic computing as cloud adoption requires high technical standards.
  5. It has geographical limitations as online availability restricts to urban areas; therefore it remains unavailable in remote areas.
Read More: https://www.wisdomplexus.com/blogs/risks-associated-autonomic-computing/

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