Data Management for Pervasive and 

Ubiquitous Computing

 

Course Details

 
Speaker :

Prof. Tomasz Imielinski

Division of Computer and Information Sciences,

Rutgers, The State University of NJ,

Piscataway, NJ 08854, USA

Duration : 15 hours (5 days)
Next Location: Sydney, Australia
Last offering:
July, 2003 École Polytechnique Fédérale De Lausanne, Lausanne, Switzerland (21st to 25th July, 2003)

In this course we will review the state of art in the field of data management for pervasive and ubiquitous computing. In almost ten years since our CACM 1994 paper (“Data Management issues in Mobile Computing, T. Imielinski and Badri Nath) the emerging new research area became a full fledged research field with a number of conferences and journals dedicated to the topic. We have witnessed an astonishing growth of the PDA market with anywhere/anytime wireless connectivity is addition to the rapidly progressing sensor technology. Growing number of devices such as cameras, cars, phones, home appliances collect and store digital information in their own “black boxes”. In the near future we will experience the increasing presence of such devices on the wireless network; we will be able to query information, which they produce as well as monitor this information remotely. In that new world every network connectivity will be an attribute of each physical object “that matters”. Location will become the first class data attribute, as important as time is today. Querying, monitoring and disseminating of the massive amounts of information which will be produced (and consumed) by millions of devices is an exciting research challenge. The resulting data space (digital information embedded in physical space) will be useful in wide range applications ranging from efficient transportation to the environmental protection and rapid emergency response

 


This course was prepared in collaboration with Samir Goel

 

 Prof. Tomasz Imielinski

 September, 2003

 Sydney, Australia

 

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Related Links

 DataMan, Rutgers

 Berkeley TinyDB

 Cornell DB Group

 CENS, UCLA

 NMS, MIT