SungJae Jo

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Streaming applications, such as environment monitoring and vehicle location tracking require handling high volumes of continuously arriving data and sudden fluctuations in these volumes while efficiently supporting multidimensional historical queries. The use of the traditional database management systems is inappropriate because they require excessive(More)
When highly distributed data streaming services are fully realized, they will bring up new issues in delivering data streams to data consumers. First, data delivery scheme should be traffic efficient because the Internet can be easily inundated by a massive number of data streams. Also, the probing messages generated by many delivery schemes waste network(More)
1389-1286/$ see front matter 2010 Elsevier B.V doi:10.1016/j.comnet.2010.08.004 ⇑ Corresponding author. Tel.: +82 42 350 3546. E-mail addresses: kmcho@nclab.kaist.ac.kr (K. Ch ac.kr (Y. Ju), sjjo@nclab.kaist.ac.kr (S. Jo), rheeys@ junesong@nclab.kaist.ac.kr (J. Song). Upcoming ubiquitous technologies are expediting the advent of many real-time applications.(More)
The rapid expansion of the Internet accompanies a serious side effect. Since there are too many information providers, it is very difficult to obtain the contents best fitting to customers’ needs. Web Syndication Services (WSS) are emerging as solutions to the information flooding problem. However, even with its practical importance, WSS has not been much(More)
In upcoming ubiquitous environment, many real-time sensing applications will emerge. These applications show different scale and characteristics on delivery demands. The applications commonly depend on real-time understanding on data from widely distributed data sources. Also, they have highly diverse and complex delivery demands in terms of data and delay,(More)
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