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XPORT: extensible profile-driven overlay routing trees
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Source International Conference on Management of Data archive
Proceedings of the 2006 ACM SIGMOD international conference on Management of data table of contents
Chicago, IL, USA
DEMONSTRATION SESSION: Group B table of contents
Pages: 769 - 771  
Year of Publication: 2006
ISBN:1-59593-434-0
Authors
Olga Papaemmanouil  Brown University, Providence, RI
Yanif Ahmad  Brown University, Providence, RI
Uğur Çetintemel  Brown University, Providence, RI
John Jannotti  Brown University, Providence, RI
Yenel Yildirim  Brown University, Providence, RI
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

XPORT is a profile-driven distributed data collection and dissemination system that supports an extensible set of data types, profiles, and optimization metrics. XPORT efficiently builds a generic tree-based overlay network, which can be customized per application using a small number of methods that encapsulate application-specific data-profile matching, aggregation, and optimization logic. The clean separation between the "plumbing" and "application" enables XPORT to uniformly and easily support disparate dissemination-based applications such as content-based feed dissemination and application-level multicast. We propose to demonstrate the basic XPORT system, featuring its extensible optimization framework that facilitates easy specification of a wide range of useful performance goals and a continuous, adaptive optimization model to achieve these goals under changing network and application conditions. We will use two different underlying applications, an RSS feed dissemination application and a multiplayer network game, along with visual system-monitoring tools to illustrate the extensibility and the operational aspects of XPORT.


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.

 
1
RSSOwl RSS Reader, http://www.rssowl.org/.
 
2
The Sauerbraten Engine, http://sauerbraten.org.
3
 
4
Y. Diao, S. Rizvi, and M. J. Franklin. Towards an Internet-Scale XML Dissemination Service. In VLDB, 2004.
5


Collaborative Colleagues:
Olga Papaemmanouil: colleagues
Yanif Ahmad: colleagues
Uğur Çetintemel: colleagues
John Jannotti: colleagues
Yenel Yildirim: colleagues