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Task-based Adaptation for
Ubiquitous Computing
João Pedro Sousa, Vahe Poladian, David Garlan, Bradley
Schmerl, Mary Shaw
IEEE Transactions on Systems, Man, and Cybernetics,
Part C: Applications and Reviews, Special Issue on Engineering Autonomic
Systems, Vol. 36(3), pp. 328-340, May 2006.
Abstract
An important domain for autonomic systems is 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 specification 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.
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