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H. Psaier, L. Juszczyk, F. Skopik, D. Schall, S. Dustdar:
"Runtime Behavior Monitoring and Self-Adaptation in Service-Oriented Systems";
Talk: 4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2010), Budapest, Hungary; 09-27-2010 - 10-01-2010; in: "Proceedings of the 4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2010)", IEEE Computer Society, (2010), ISBN: 978-0-7695-4232-4; 164 - 173.

Mixed service-oriented systems composed of human
actors and software services build up complex interaction networks.
Without any coordination, such systems may exhibit
undesirable properties due to unexpected behavior. Also, communications
and interactions in such networks are not preplanned by
top-down composition models. Consequently, the management of
service-oriented applications is difficult due to changing interaction
and behavior patterns that possibly contradict and result in
faults from varying conditions and misbehavior in the network. In
this paper we present a self-adaptation approach that regulates
local interactions to maintain desired system functionality. To
prevent degraded or stalled systems, adaptations operate by link
modification or substitution of actors based on similarity and
trust metrics. Unlike a security perspective on trust, we focus on
the notion of socially inspired trust. We design an architecture
based on two separate independent frameworks. One providing
a real Web service testbed extensible for dynamic adaptation
actions. The other is our self-adaptation framework including
all modules required by systems with self-* properties. In our
experiments we study a trust and similarity based adaptation
approach by simulating dynamic interactions in the real Web
services testbed.

Service-oriented collaboration, monitoring, selfadaptation, web service testbed, dynamic trust

http://dx.doi.org/10.1109/SASO.2010.44

Project Head Schahram Dustdar:
COIN

Project Head Schahram Dustdar:
S-Cube