Sousa, João Poladian, Vahe Garlan, David Schmerl, Bradley Shaw, Mary Task-based Adaptation for Ubiquitous Computing <p>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. </p> Self-adaptation;ubiquitous computing;resource-aware computing;multi-fidelity applications 2006-05-01
    https://kilthub.cmu.edu/articles/journal_contribution/Task-based_Adaptation_for_Ubiquitous_Computing/6625994
10.1184/R1/6625994.v1