@InProceedings{Pandey:FAS2017:Hybrid,
AUTHOR = {Pandey, Ashutosh},
TITLE = {Hybrid Planning in Self-Adaptive Systems},
YEAR = {2017},
MONTH = {18-22 September},
BOOKTITLE = {FAS* Foundations and Applications of Self* Systems (FAS* 2017) Doctoral Symposium},
ADDRESS = {Tucson, AZ, USA},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/HybridPlanningDoctoralSymposium.pdf},
ABSTRACT = {Self-adaptive software systems make decisions at
run time that seek to change their behavior in response to
faults, changing environments and attacks. Therefore, having an
appropriate planning approach to find an adaptation plan is
critical to successful self-adaptation. For many realistic systems,
ideally one would like to have a planning approach that is both
quick and finds an optimal adaptation plan. However, due to the
fundamental trade-off between quality and timeliness of planning,
often designers have to compromise between an approach that is
quick to find a plan and an approach that is slow but finds an
optimal plan. To deal with this trade-off, this work proposes a
hybrid planning approach that combines more than one planning
approach to bring their benefits together.},
KEYWORDS = {Planning, Self-adaptation}
}
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