What is autonomic system? and why is it important? The advancement of technology had brought about many improved methodologies in software architecture and engineering. While the implementation of more advanced technologies allow enterprises to market their applications and services faster, it also increases complexity in computer environments. This lead to the introduction of the term autonomic system or autonomic computing.
What is autonomic system or autonomic computing?
The term autonomic system or autonomic computing was coined by Paul Horn of IBM in 2001 where computer and software systems are envisioned to function similarly as the autonomic nervous system, a biological concept referring to system that provides automatic response and action in the biological processes.
With this idea and understanding, autonomic system or autonomic computing can be defined as systems that are able to manage themselves by providing appropriate corrective actions that are completely automatic and with little or no human intervention.
The need for autonomic system or autonomic computing
Researchers had agreed that autonomic system is the answer in resolving the negative impacts of increase in complexity in computer environment. The increase in complexity in computer environment are critical and may cause destruction to computer environment which include (i) System failure such as operational error, user error and inadequate change control, (ii) Networks failure, for example, performance overload, peak load problems and insufficient bandwidth, (iii) Database outage like out of disk space, log file full and performance overload, (iv) Applications problem, for instance, application error, inadequate change control, and operational error.
In conclusion, implementation of a more advanced technology not only gives positive results but also negative impacts. The adoption of autonomic system is important as it provides solution in helping enterprise automatically react stowards the negative impacts that can cause failure and downtime in operation or processes.
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