Scope:

　

Embedded and ubiquitous computing is emerging rapidly as an exciting new paradigm to provide computing and communication services all the time, everywhere. Its systems are now pervading every aspect of life to the point that they are hidden inside various appliances or can be worn unobtrusively as part of clothing and jewelry. To achieve this level of invisible ubiquitous and pervasive computation and communication, we will need to study trusted and self-managing infrastructure. As such, it is necessary to develop new trustworthy software, selfware technologies, and self-X properties to effectively and inconspicuously manage these emerging embedded and ubiquitous systems. Trustworthy computing, which is essential to embedded and ubiquitous systems, is to address all issues relating to security, privacy, reliability, and information integrity. One of the most promising paradigms for self-managing systems is that of Autonomic Computing which is inspired by nature and biological systems (such as the autonomic nervous system) that have evolved to cope with the challenges of scale, complexity, heterogeneity and unpredictability by being decentralized, embedded, context aware, adaptive, ubiquitous and resilient. This new era is characterized by self-X properties such as self-defining, self-configuring, self-optimizing, self-protecting and self-healing as well as context aware and anticipatory.

This workshop is to bring together computer scientists, industrial engineers and researchers to discuss and exchange experimental or theoretical results, novel designs, work-in-progress, experience, case studies, and trend-setting ideas in the area of trusted and autonomic ubiquitous and embedded systems. The accepted papers will be published by Springer LNCS as part of the EUC-05 proceedings