Abstract
A pervasive computing environment typically comprises multiple embedded devices that may interact together and with mobile users. These users are part of the environment, and they experience it through a variety of devices embedded in the environment. This perception involves technologies which may be heterogeneous, pervasive, and dynamic. Due to the highly dynamic properties of such environments, the software systems running on them have to face problems such as user mobility, service failures, or resource and goal changes which may happen in an unpredictable manner. To cope with these problems, such systems must be autonomous and self-managed. In this chapter we deal with a special kind of a ubiquitous environment, a smart home environment, and introduce a user-preference-based model for adaptation planning. The model, which dynamically forms a set of configuration plans for resources, reasons automatically and autonomously, based on utility functions, on which plan is likely to best achieve the user's goals with respect to resource availability and user needs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agrawal, R., Wimmers, E. L. 2000. A framework for expressing and combining preferences. ACM SIGMOD Conference on Management of Data, Dallas, TX, 2000. ACM Press, New York.
Alia, M., Eide, V. S. W., Paspallis, N., Eliassen, F., Hallsteinsen, S., Papadopoulos, G.A. 2007. A utility-based adaptivity model for mobile applications. 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), Niagara Falls, Ontario, Canada, May 21–23, 2007, IEEE Computer Society Press, pp. 556–563
Bettstetter, C., Renner, C. 2000. A Comparison of Service Discovery Protocols and Implementa-tion of the Service Location Protocol. EUNICE 2000, Sixth EUNICE Open European Sum-mer School, Twente, Netherlands, September 2000.
Bluetooth Special Interest Group, Bluetooth Core Specification – Version 2.1. 2007
Bonjour Protocol Specification. http://developer.apple.com/networking/bonjour/specs.html
Edwards, W. K. 2006. Discovery systems in ubiquitous computing. IEEE Pervasive Computing 5, 2, 70–77, April 2006.
European IST-FP6 project MADAM (Mobility And aDaptation enabling Middleware) http://www.ist-madam.org
European IST-FP6 project MUSIC (Self-adapting applications for Mobile Users In ubiquitous Computing environments) http://www.ist-music.eu
Floch, J., Hallsteinsen, S., Stav, E., Eliassen, F., Lund, K., Gjorven, E. 2006. Using architecture models for runtime adaptability. IEEE Software 23, 2, 62–70, March 2006.
Guttman, E., Perkins, C., Veizades, J., and Day, M. 1999. Service Location Protocol, Version 2. RFC. RFC Editor.
Hafenrichter, B., Kießling, W. 2005. Optimization of relational preference queries. 16th Austral-asian Database Conference – Volume 39 (Newcastle, Australia). H. E. Williams and G. Dobbie, Eds. ACM International Conference Proceeding Series, vol. 103. Australian Computer Society, Darlinghurst, Australia, 175–184.
Henricksen, K., Indulska, J., Rakotonirainy, A. 2006. Using context and preferences to implement self-adapting pervasive computing applications. Journal of Software Practice and Experience, Special Issue on Experiences with Auto-Adaptive and Reconfigurable Systems, 36(11–12), 1307–1330. Wiley, New York, 2006
Kephart, J., Chess, D. M. 2003. The vision of autonomic computing. IEEE Computer Magazine 36, 1, 41–50, January 2003.
Labrinidis, A.., Stefanidis, A. 2005. Panel on mobility in sensor networks. 6th International Conference on Mobile Data Management (MDM’05), pp. 333–334. Ayia Napa, Cyprus, May 2005.
Rouvoy, R., Eliassen, F., Floch, J., Hallsteinsen, S., Stav, E. 2008. Composing components and services using a planning-based adaptation middleware. 7th International Symposium on Software Composition (SC′08). pp. 52–67 of LNCS 4954 (Springer). Budapest, Hungary. March 29–30, 2008.
Sousa, J. P. and Garlan, D. 2002. Aura: An architectural framework for user mobility in ubiquitous computing environments. IFIP 17th World Computer Congress – Tc2 Stream/3rd IEEE/IFIP Conference on Software Architecture: System Design, Development and Maintenance (August 25–30, 2002). J. Bosch, W. M. Gentleman, C. Hofmeister, and J. Kuusela, Eds. IFIP Conference Proceedings, vol. 224. Kluwer B.V., Deventer, The Netherlands, 29–43.
Sousa, J. P., Poladian, V., Garlan, D., Schmerl, B., Shaw, M. 2006. Task-based adaptation for ubiquitous computing. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Special Issue on Engineering Autonomic Systems 36(3), May 2006.
UPnP Forum 2007. Universal Plug and Play. http://www.upnp.org
Waldo, J. 2000 The Jini specifications. 2nd Addison-Wesley Longman Publishing Co., Inc, Boston, MA.
Wang, Z., Garlan, D. Task-driven computing. Technical Report CMU-CS-00-154 School of Computer Science Carnegie Mellon University http://reports-archive.adm.cs.cmu.edu/anon/2000/CMU-CS-00-154.pdf
Zachariadis, S., Mascolo, C., Emmerich, W. 2002. Exploiting logical mobility in mobile computing middleware. 22nd International Conference on Distributed Computing Systems – Workshops (ICDCS 2002 Workshops). July 2002, Vienna, Austria.
Acknowledgments
The authors of this chapter would like to thank their partners in the IST-MUSIC project and acknowledge the partial financial support given to this research by the European Union (6th Framework Programme, IST 035166).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Bratskas, P., Paspallis, N., Kakousis, K., Papadopoulos, G.A. (2009). Applying Utility Functions to Adaptation Planning for Home Automation Applications. In: Papadopoulos, G., Wojtkowski, W., Wojtkowski, G., Wrycza, S., Zupancic, J. (eds) Information Systems Development. Springer, Boston, MA. https://doi.org/10.1007/b137171_55
Download citation
DOI: https://doi.org/10.1007/b137171_55
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-84809-9
Online ISBN: 978-0-387-84810-5
eBook Packages: Computer ScienceComputer Science (R0)