Autonomic Computing for B2C E-Commerce Applications

Ever increasing complexity, higher demand for proactiveness, and high speeds of innovation resulting from heavy competition, demand the adoption of more intelligent systems, which are capable of producing optimal results, in all fields. B2C E-Commerce applications are no different. The major challenge in transitioning a brick and mortar business to an online environment is to provide the same user experience as that of a wayside store, like the consultation, up selling, pro-activeness, negotiation, delivery, etc. This requirement has created a lot of intelligent tools and necessitates further evolution of more intelligent tools. Autonomic computing provides the framework for design of independent intelligent self-managing components, and is thereby optimally suited to assist E-Commerce in this journey. This framework can be extensively used to upgrade existing E-Commerce systems with autonomic features. This paper introduces the concept of autonomic computing in e-commerce applications, and provides a generic architecture, with specific focus on selfoptimizing characteristics of autonomic computing. Details of concrete implementation of autonomic components in an ecommerce environment are provided. This paper is the specific application scenario of the generic autonomic concept presented in “Autonomic Computing Architecture for Business Applications” [1]. General Terms Autonomic computing, E-Commerce