%
% GENERATED FROM http://acme.able.cs.cmu.edu
%    by   : anonymous
%    IP   : ec2-3-141-199-243.us-east-2.compute.amazonaws.com
%    at   : Fri, 26 Apr 2024 12:05:48 -0400 GMT
%    
% Selection : Publication #6
%


<tr><td><table><tr><td>

@Article{Poladian2006,
      AUTHOR = {Sousa, Jo\~{a}o and Poladian, Vahe and Garlan, David and Schmerl, Bradley and Shaw, Mary},
      TITLE = {Task-Based Adaptation for Ubiquitous Computing},
      YEAR = {2006},
      MONTH = {May},
      JOURNAL = {IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Special Issue on Engineering Autonomic Systems},
      VOLUME = {36},
      NUMBER = {3},
      PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/tbuc.pdf},
      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.},
      NOTE = {Also available at <a href=http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=34177&arnumber=1629198&count=14&index=4>IEEE Xplore</a>},
      KEYWORDS = {Aura, Autonomic Systems, Ubiquitous Computing}
}