An architecture for using metadata to manage ubiquitous communications and services: A position paper

Abstract

Ubiquitous communication depends on distributed machine intelligence that relates the needs of the tasks to be performed to the available system services and resources. A critical part of this process is the understanding of contextually-sensitive data that can influence the offering and delivery of these resources and services. This paper describes a new extension of the FOCALE autonomic architecture that is designed specifically to manage ubiquitous computing and communications systems. This extension is focused on embedding intelligence into computing nodes, which enables individual nodes to communicate intelligently with the FOCALE autonomic manager. In this way, each node can contribute to the collective knowledge of the system while having its behavior orchestrated by FOCALE.