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Towards context-aware and resource-driven self-adaptation for mobile handheld applications
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Proceedings of the 2007 ACM symposium on Applied computing table of contents
Seoul, Korea
SESSION: Operating systems and adaptive applications table of contents
Pages: 1165 - 1170  
Year of Publication: 2007
ISBN:1-59593-480-4
Authors
Davy Preuveneers  Leuven, Belgium
Yolande Berbers  Leuven, Belgium
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Mobile handheld computing is gaining momentum as more and more wireless handheld devices are being used to accomplish various computing tasks. Context-awareness can help to adapt and personalize applications or to optimize resource usage. However, many existing context infrastructures by themselves impose heavy resource requirements for deployment or highly affect the limited autonomy of the mobile device. In this paper we describe how resource-driven self-adaptation is used in our layered context-driven application middleware in order to enable deployment on a mobile device and optimize resource usage. Our evaluation shows that the introspection and intercession capabilities of the self-adapting middleware provide the necessary flexibility to achieve a balanced resource usage between the context-driven application middleware and the context-aware applications, and that the resource-driven self-adaptation is able to more than double the battery lifetime in real life scenarios.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Cakmakci, O., Coutaz, J., Laerhoven, K. V., and Gellersen, H. Context awareness in systems with limited resources, 2002.
 
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NMEA. The NMEA 0183 Interface Standard. http://www.nmea.org/pub/0183/, 2003.
 
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Preuveneers, D., and Berbers, Y. Adaptive context management using a component-based approach. In Proceedings of 5th IFIP International Conference on Distributed Applications and Interoperable Systems (June 2005), vol. 3543 of LNCS, Springer, pp. 14--26.
 
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Preuveneers, D., and Berbers, Y. Automated context-driven composition of pervasive services to alleviate non-functional concerns. International Journal of Computing and Information Sciences 3, 2 (August 2005), 19--28.
 
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Sousa, J. P., Poladian, V., Garlan, D., and Schmerl, B. R. Capitalizing on awareness of user tasks for guiding self-adaptation. In CAiSE Workshops (2) (2005), J. Castro and E. Teniente, Eds., FEUP Edições, Porto, pp. 83--96.
 
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Collaborative Colleagues:
Davy Preuveneers: colleagues
Yolande Berbers: colleagues