Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | DBISP2P 2003 |
| Untertitel | Databases, Information Systems, and Peer-to-Peer Computing |
| Herausgeber/-innen | Karl Aberer, Manolis Koubarakis, Vana Kalogeraki |
| Herausgeber (Verlag) | Springer Verlag |
| Seiten | 33-47 |
| Seitenumfang | 15 |
| ISBN (elektronisch) | 978-3-540-24629-9 |
| ISBN (Print) | 978-3-540-20968-3 |
| Publikationsstatus | Veröffentlicht - 2004 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 2944 |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
When joining information provider peers to a peer-to-peer network, an arbitrary distribution is sub-optimal. In fact, clustering peers by their characteristics, enhances search and integration significantly. Currently super-peer networks, such as the Edutella network, provide no sophisticated means for such a "semantic clustering" of peers. We introduce the concept of semantic overlay clusters (SOC) for super-peer networks enabling a controlled distribution of peers to clusters. In contrast to the recently announced semantic overlay network approach designed for flat, pure peer-to-peer topologies and for limited meta data sets, such as simple filenames, we allow a clustering of complex heterogeneous schemes known from relational databases and use advantages of super-peer networks, such as efficient search and broadcast of messages. Our approach is based on predefined policies defined by human experts. Based on such policies a fully decentralized broadcast-and matching approach distributes the peers automatically to super-peers. Thus we are able to automate the integration of information sources in super-peer networks and reduce flooding of the network with messages.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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DBISP2P 2003: Databases, Information Systems, and Peer-to-Peer Computing. Hrsg. / Karl Aberer; Manolis Koubarakis; Vana Kalogeraki. Springer Verlag, 2004. S. 33-47 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 2944).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Beitrag in Buch/Sammelwerk › Forschung › Peer-Review
}
TY - CHAP
T1 - Semantic overlay clusters within super-peer networks
AU - Löser, Alexander
AU - Naumann, Felix
AU - Siberski, Wolf
AU - Nejdl, Wolfgang
AU - Thaden, Uwe
PY - 2004
Y1 - 2004
N2 - When joining information provider peers to a peer-to-peer network, an arbitrary distribution is sub-optimal. In fact, clustering peers by their characteristics, enhances search and integration significantly. Currently super-peer networks, such as the Edutella network, provide no sophisticated means for such a "semantic clustering" of peers. We introduce the concept of semantic overlay clusters (SOC) for super-peer networks enabling a controlled distribution of peers to clusters. In contrast to the recently announced semantic overlay network approach designed for flat, pure peer-to-peer topologies and for limited meta data sets, such as simple filenames, we allow a clustering of complex heterogeneous schemes known from relational databases and use advantages of super-peer networks, such as efficient search and broadcast of messages. Our approach is based on predefined policies defined by human experts. Based on such policies a fully decentralized broadcast-and matching approach distributes the peers automatically to super-peers. Thus we are able to automate the integration of information sources in super-peer networks and reduce flooding of the network with messages.
AB - When joining information provider peers to a peer-to-peer network, an arbitrary distribution is sub-optimal. In fact, clustering peers by their characteristics, enhances search and integration significantly. Currently super-peer networks, such as the Edutella network, provide no sophisticated means for such a "semantic clustering" of peers. We introduce the concept of semantic overlay clusters (SOC) for super-peer networks enabling a controlled distribution of peers to clusters. In contrast to the recently announced semantic overlay network approach designed for flat, pure peer-to-peer topologies and for limited meta data sets, such as simple filenames, we allow a clustering of complex heterogeneous schemes known from relational databases and use advantages of super-peer networks, such as efficient search and broadcast of messages. Our approach is based on predefined policies defined by human experts. Based on such policies a fully decentralized broadcast-and matching approach distributes the peers automatically to super-peers. Thus we are able to automate the integration of information sources in super-peer networks and reduce flooding of the network with messages.
UR - http://www.scopus.com/inward/record.url?scp=35048846598&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-24629-9_4
DO - 10.1007/978-3-540-24629-9_4
M3 - Contribution to book/anthology
AN - SCOPUS:35048846598
SN - 978-3-540-20968-3
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 33
EP - 47
BT - DBISP2P 2003
A2 - Aberer, Karl
A2 - Koubarakis, Manolis
A2 - Kalogeraki, Vana
PB - Springer Verlag
ER -