Model-driven engineering of planning and optimisation algorithms for pervasive computing environments
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2011Citation:
Harrington, A., Cahill, V., Model-driven engineering of planning and optimisation algorithms for pervasive computing environments, 2011 IEEE International Conference on Pervasive Computing and Communications, PerCom 2011, Seattle, WA, 21-25 March, IEEE, 2011, 172-180Download Item:
Abstract:
This paper presents a model-driven approach to developing pervasive computing applications that exploits designtime
information to support the engineering of planning and optimisation algorithms that reflect the presence of uncertainty,
dynamism and complexity in the application domain. In particular
the task of generating code to implement planning
and optimisation algorithms in pervasive computing domains is
addressed.
We present a layered domain model containing a set of objectoriented
specifications for modelling physical and sensor/actuator
infrastructure and state-space information. Our model-driven
engineering approach is implemented in two transformation algorithms.
The initial transformation parses the domain model and
generates a planning model for the application being developed
that encodes an application?s states, actions and rewards. The
second transformation parses the planning model and selects
and seeds a planning or optimisation algorithm for use in the
application.
We present an empirical evaluation of the impact of our
approach on the development effort associated with a pervasive
computing application from the Intelligent Transportation Systems
(ITS) domain, and provide a quantitative evaluation of the
performance of the algorithms generated by the transformations.
Sponsor
Grant Number
Science Foundation Ireland (SFI)
03/CE2/I30 1
Science Foundation Ireland (SFI)
02/IN1/I250
Author's Homepage:
http://people.tcd.ie/vjcahillDescription:
PUBLISHEDart. no. 5767582
Seattle, WA
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2011 IEEE International Conference on Pervasive Computing and Communications, PerCom 2011Publisher:
IEEEType of material:
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Full text availableKeywords:
optimisation algorithmsDOI:
http://dx.doi.org/10.1109/PERCOM.2011.5767582Metadata
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