Publication: Topology dependent information dissemination in P2P networks for anti-entropy algorithms
| dc.contributor.coauthor | N/A | |
| dc.contributor.department | Department of Mathematics | |
| dc.contributor.department | Department of Computer Engineering | |
| dc.contributor.department | Graduate School of Sciences and Engineering | |
| dc.contributor.kuauthor | Faculty Member, Çağlar, Mine | |
| dc.contributor.kuauthor | Master Student, İskender, Emre | |
| dc.contributor.kuauthor | Faculty Member, Özkasap, Öznur | |
| dc.contributor.schoolcollegeinstitute | College of Engineering | |
| dc.contributor.schoolcollegeinstitute | College of Sciences | |
| dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
| dc.date.accessioned | 2024-11-09T23:58:19Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | Analyzing the behavior of epidemic spreading in a network is a good way of modeling several network phenomena. There are several studies analyzing the spreading of email viruses. Spreading of epidemics is also a good model for several types of information dissemination in distributed systems. In this study, we examine spreading of epidemics for anti-entropy algorithms in a peer-to-peer network with any given topology. We derive nodes' exact probability distributions of being infected in each epidemic cycle. | |
| dc.description.indexedby | WOS | |
| dc.description.indexedby | Scopus | |
| dc.description.openaccess | YES | |
| dc.description.publisherscope | International | |
| dc.description.sponsoredbyTubitakEu | TÜBİTAK | |
| dc.identifier.doi | 10.1109/SIU.2008.4632626 | |
| dc.identifier.isbn | 9781-4244-1999-9 | |
| dc.identifier.quartile | N/A | |
| dc.identifier.scopus | 2-s2.0-56449109846 | |
| dc.identifier.uri | https://doi.org/10.1109/SIU.2008.4632626 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/15450 | |
| dc.identifier.wos | 261359200089 | |
| dc.keywords | Distributed systems | |
| dc.keywords | Email viruses | |
| dc.keywords | Entropy algorithms | |
| dc.keywords | Epidemic cycles | |
| dc.keywords | Epidemic spreading | |
| dc.keywords | P2p networks | |
| dc.keywords | Peer-to-peer networks | |
| dc.keywords | Distributed computer systems | |
| dc.keywords | Epidemiology | |
| dc.keywords | Information dissemination | |
| dc.keywords | Signal processing | |
| dc.keywords | Topology | |
| dc.keywords | Probability distributions | |
| dc.language.iso | tur | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU | |
| dc.subject | Computer engineering | |
| dc.title | Topology dependent information dissemination in P2P networks for anti-entropy algorithms | |
| dc.title.alternative | Görevdeş aǧlarda entropi önler algoritmalar ile topolojiye baǧlI bilgi yayılımı | |
| dc.type | Conference Proceeding | |
| dspace.entity.type | Publication | |
| local.contributor.kuauthor | Özkasap, Öznur | |
| local.contributor.kuauthor | Çağlar, Mine | |
| local.contributor.kuauthor | İskender, Emre | |
| local.publication.orgunit1 | College of Engineering | |
| local.publication.orgunit1 | College of Sciences | |
| local.publication.orgunit1 | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
| local.publication.orgunit2 | Department of Computer Engineering | |
| local.publication.orgunit2 | Department of Mathematics | |
| local.publication.orgunit2 | Graduate School of Sciences and Engineering | |
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