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Autonomic Computing, Architecture and Paradigm

A. Kaveri, S. Priyadharshini, T. Priya Dharshini, K. R. Sophiya, V. K. Sushmithaa

Abstract


Increasingly, software must dynamically adapt its behaviour at run-time in response to changing conditions within the supporting computing infrastructure and within the encompassing physical environment. Adaptability is rising as a necessary underlying capability, particularly for highly dynamic systems such as context-aware or ubiquitous systems. These systems have reached tier of quality wherever the human effort needed to urge the systems up and running and keeping them operational is obtaining out of hand there is a great challenge to provide new tips, techniques and tools to help autonomic system development. In this paper first an summary of the architecture of the autonomic nervous system is described. Later how this is often wont to motivate our approach to develop the autonomic computing paradigm to regulate and manage complex applications is been illustrated.


Keywords


Autonomic Computing, Autonomic Nervous System, Autonomic Computing Paradigm.

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DOI: http://dx.doi.org/10.36039/AA022021003.

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