Autonomic Computing Paradigm to Support System´s Development

Information infrastructure is witnessing an evolution with the advent of Autonomic computing paradigm. Autonomic Computing Systems (ACS) is becoming more real and visible in present-day computing world, thus creating a context-aware-ubiquitous computing environment. Established IT Industry leaders have embraced this approach and a great deal of research and development is happening upon this area. Today, systems have grown large accommodating interconnecting complex technologies and practices. This has given rise to the demand of enormous human-skills in low-level-guidance area, engaged in IT support and system maintenance related tasks. Autonomic Systems have the capability of configuring, healing, optimizing and protecting themselves. These Self-managed systems have started becoming part of large enterprises, exhibiting autonomic behaviour and tendency for self-adaptability. Such systems could be part of a heterogenous - enterprise environment and capable of serving at any level ranging from a simple autonomic component to an enterprise-wide application. Autonomic systems, with the support of more open industry standards can change the way systems behave and respond today. This paper describes the basic concept of autonomic computing by relating autonomic nervous system characteristics. In addition to this, the paper describes a very general case of autonomic detection in computer networks, a self-protecting implementation using Intel Active Management Technology (AMT).