Title: Efficient decision making algorithms for adaptive applications
Authors: Smits, Tim ×
Vanrompay, Yves
Berbers, Yolande #
Issue Date: Jul-2009
Host Document: Proceedings of the 2009 International Conference on Pervasive Services (ICPS) and Co-Located Workshops pages:13-18
Conference: ADAMUS09 Workshop at International Conference on Pervasive Services location:London, UK date:13-16 July 2009
Abstract: The trend within computer science towards ubiquitous computing
results in the necessity of developing adaptive applications.
The environment of applications becomes more heterogeneous
and user needs vary heavily. In order to maintain
the usability and dependability of these applications, adaptive
behavior is needed. The focus of our research is the
decision making phase in realizing adaptive behavior of an
application. Algorithms reason about the adaptive application
with the goal to select a new application variant that
better fits the new environment. This reasoning has to be
done on a search space which tends to be very complex, and
consequently poses a problem towards scalability, even when
applications are relatively small. Therefore, we present two
novel algorithms which handle the complex search space in
an intelligent way. In this paper, both algorithms are introduced
along with a thorough evaluation of their behavior
and scalability.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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