Techniques and Theories of Self-optimization in Autonomic Systems

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 accepted 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 behavior and tendency for self adaptability. Such systems could be part of a heterogonous – 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. ==============================================================================================