{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:41:24Z","timestamp":1777902084701,"version":"3.51.4"},"reference-count":28,"publisher":"SAGE Publications","issue":"10","license":[{"start":{"date-parts":[[2004,10,1]],"date-time":"2004-10-01T00:00:00Z","timestamp":1096588800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SIMULATION"],"published-print":{"date-parts":[[2004,10]]},"abstract":"<jats:p>Peer-to-peer (P2P) file-sharing networks started out as a way to create a big pool of files to which anyone who participated had access. However, as the Internet evolved, these networks became one of the major enabling technologies. The traditional client-server paradigm does not always come through when great amounts of data need to be disseminated to numerous users. P2P systems became an alternative, relieving the server from becoming the congestion point. The purpose of this article is to show and analyze simulation results of a file being disseminated through two widely used approaches for P2P networks. Emphasis is given to the efficiency of each approach when demand on a highly anticipated file is simulated, as well as the benefits of the mobile agent-based itinerary algorithm proposed in this article.<\/jats:p>","DOI":"10.1177\/0037549704047306","type":"journal-article","created":{"date-parts":[[2005,1,25]],"date-time":"2005-01-25T12:13:31Z","timestamp":1106655211000},"page":"501-510","source":"Crossref","is-referenced-by-count":0,"title":["Itinerary-Based Segmented Dissemination on a Peer-to-Peer Network"],"prefix":"10.1177","volume":"80","author":[{"given":"Konstantinos G.","family":"Zerfiridis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helen D.","family":"Karatza","sequence":"additional","affiliation":[{"name":"Department of Informatics, Aristotle University of Thessaloniki, 54124                         Thessaloniki, Greece,"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2004,10,1]]},"reference":[{"key":"atypb1","volume-title":"Using multicast FEC to solve the midnight madness problem","author":"Schooler, E.","year":"1997"},{"key":"atypb2","volume-title":"How Microsoft manages","author":"Microsoft TechNet Reference Desk","year":"1997"},{"key":"atypb3","doi-asserted-by":"publisher","DOI":"10.1145\/78952.78953"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.1109\/90.490743"},{"key":"atypb5","first-page":"930","volume-title":"IEEE Infocom 2002","author":"Shah, R."},{"key":"atypb6","volume-title":"On the feasibility of software FEC","author":"Rizzo, L.","year":"1997"},{"key":"atypb7","volume-title":"Directional gossip: Gossip in a wide-area network","author":"Lin, M.-J.","year":"1999"},{"key":"atypb8","volume-title":"Proceedings of the International Conference on Dependable Systems and Networks","author":"Sun, Q."},{"key":"atypb9","first-page":"15","volume-title":"Proceedings of the 22nd International Conference on Distributed Computing Systems (ICDCS\u201902)","author":"Babaoglu, O."},{"key":"atypb10","volume-title":"The Swarm simulation system: A toolkit for building multi-agent simulations","author":"Minar, N.","year":"1996"},{"key":"atypb11","volume-title":"Proceedings of the 16th IMACS World Congress 2000 on Scientific Computation, Applied Mathematics and Simulation","author":"Horling, B."},{"key":"atypb12","first-page":"71","volume-title":"Proceedings of the 11th IEEE\/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems(MASCOTS 2003)","author":"He, Q."},{"key":"atypb13","doi-asserted-by":"publisher","DOI":"10.1109\/2.933501"},{"key":"atypb14","volume-title":"Why Gnutella can\u2019t scale","author":"Ritter, J.","year":"2001"},{"key":"atypb15","author":"Zerfiridis, K. 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