Evaluation on the UbiMDR framework

Jeong Dong Kim, Dongwon Jeong, Jinhyung Kim, Doo Kwon Baik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the performance evaluation to validate the superiority of UbiMDR framework. In ubiquitous application, the semantic operability is one of the most important issues to maximize the usability of sensors in sensor fields. However, existing frameworks are not suitable for the ubiquitous computing environment because of data heterogeneity between data elements. The MDR-based framework in ubiquitous computing provides the semantic interoperability among ubiquitous applications or sensor fields. In addition, the UbiMDR framework represents low costs for mapping or addition of new elements or operation compared to conventional framework.

Original languageEnglish
Title of host publicationParallel and Distributed Processing and Applications - 5th International Symposium, ISPA 2007, Proceedingsq
PublisherSpringer Verlag
Pages601-611
Number of pages11
ISBN (Print)3540747419, 9783540747413
DOIs
Publication statusPublished - 2007
Event5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007 - Niagara Falls, Canada
Duration: 2007 Aug 292007 Aug 31

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4742 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007
CountryCanada
CityNiagara Falls
Period07/8/2907/8/31

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Kim, J. D., Jeong, D., Kim, J., & Baik, D. K. (2007). Evaluation on the UbiMDR framework. In Parallel and Distributed Processing and Applications - 5th International Symposium, ISPA 2007, Proceedingsq (pp. 601-611). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4742 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-74742-0_54