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Task-based Adaptation for Ubiquitous Computing

journal contribution
posted on 01.05.2006 by João Sousa, Vahe Poladian, David Garlan, Bradley Schmerl, Mary Shaw

An important domain for autonomic systems in the area of ubiquitous computing: Users are increasingly surrounded by technology that is heterogeneous, pervasive, and variable. In this paper we describe our work in developing self-adapting computing infrastructure that automates the configuration and reconfiguration of such environments. Focusing on the engineering issues of self-adaptation in the presence of heterogeneous platforms, legacy applications, mobile users, and resource variable environments, we describe a new approach based on the following key ideas: (a) Explicit representation of user tasks allows us to determine what service qualities are required of a given configuration: (b) Decoupling task and preference specifications from the lower level mechanisms that carry out those preferences provides a clean engineering separation of concerns between what is needed and how it is carried out: and (c) Efficient algorithms allow us to calculate in real time near-optimal resource allocations and reallocations for a given task.