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Author, Editor

Author(s):

Berberich, Klaus
Koubarakis, Manolis
Tryfonopoulos, Christos
Weikum, Gerhard
Zimmer, Christian

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Not MPG Author(s):

Koubarakis, Manolis

Editor(s):





BibTeX cite key*:

adpuc/Berberich2006

Title, Conference

Title*:

MAPS: Approximate Publish/Subscribe Functionality in Peer-to-Peer Networks

Booktitle*:

ADPUC '06: Proceedings of the 1st International Workshop on Advanced Data Processing in Ubiquitous Computing (ADPUC 2006)

Event Address*:

Melbourne, Australia

URL of the conference:


Event Date*:
(no longer used):


URL for downloading the paper:

http://delivery.acm.org/10.1145/1170000/1169069/a1-berberich.pdf?key1=1169069&key2=3218564711&coll=GUIDE&dl=&CFID=17947345&CFTOKEN=78026122

Event Start Date:

27 November 2007

Event End Date:

27 November 2007

Language:

English

Organization:


Publisher

Publisher's Name:

ACM

Publisher's URL:


Address*:

New York, USA

Type:


Vol, No, pp., Year

Series:

ACM International Conference Proceeding Series

Volume:

181

Number:


Month:


Pages:

1-6



Sequence Number:

1

Year*:

2006

ISBN/ISSN:

1-59593-422-7





Abstract, Links, ©

URL for Reference:


Note:


(LaTeX) Abstract:

Information filtering has been a research issue for years. In an information filtering scenario users information needs are expressed by user subscriptions, and users are notified about published documents or events that match these interests. The combination of the publish/subscribe scenario with the peer-to-peer (P2P) approach of autonomous peers makes high demands on the scalability and the efficiency of such a given highly distributed network. However, in many cases a subscriber is not interested in all the events that match his profile, but rather in a small representative set. In this paper, we present our approach of an approximate publish/subscribe system, that relaxes the assumption for receiving notifications from every information producer in the network. Our work builds upon distributed hash table technology to create and maintain a distributed global directory that contains information about peers' publishing behavior and combines the current peer state and the prediction of the future publishing behavior of a peer to store a subscription only to the most promising peers in the network. Our experimental evaluation shows that approximate information filtering results satisfying recall level and is able to accommodate changes in peer publishing behaviour.

URL for the Abstract:

http://portal.acm.org/citation.cfm?id=1169067.1169069&coll=GUIDE&dl=&type=series&idx=1169067&part=Proceedings&WantType=Proceedings&title=ACM%20International%20Conference%20Proceeding%20Series&CFID=://www.google.com/search?q=adpuc&CFTOKEN=www.google.com/search?q=adpuc



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Personal Comments:


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Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

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BibTeX Entry:
@INPROCEEDINGS{adpuc/Berberich2006,
AUTHOR = {Berberich, Klaus and Koubarakis, Manolis and Tryfonopoulos, Christos and Weikum, Gerhard and Zimmer, Christian},
TITLE = {{MAPS}: Approximate Publish/Subscribe Functionality in Peer-to-Peer Networks},
BOOKTITLE = {ADPUC '06: Proceedings of the 1st International Workshop on Advanced Data Processing in Ubiquitous Computing (ADPUC 2006)},
PUBLISHER = {ACM},
YEAR = {2006},
VOLUME = {181},
PAGES = {1--6},
SERIES = {ACM International Conference Proceeding Series},
ADDRESS = {Melbourne, Australia},
ISBN = {1-59593-422-7},
}


Entry last modified by Uwe Brahm, 04/27/2007
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Editor(s)
Klaus Berberich
Created
03/14/2007 12:33:51 PM
Revisions
5.
4.
3.
2.
1.
Editor(s)
Uwe Brahm
Adriana Davidescu
Christos Tryfonopoulos
Christine Kiesel
Christine Kiesel
Edit Dates
2007-04-27 14:57:43
24.04.2007 16:17:26
03/23/2007 03:18:41 PM
23.03.2007 15:03:36
23.03.2007 15:00:59
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