<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Luis Rodrigues</style></author><author><style face="normal" font="default" size="100%">José Orlando Pereira</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Self-Adapting Epidemic Broadcast Algorithms (extended abstract)</style></title><secondary-title><style face="normal" font="default" size="100%">FuDiCo II: S.O.S. Survivability: Obstacles and Solutions - 2nd Bertinoro Workshop on Future Directions in Distributed Computing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2004</style></year><pub-dates><date><style  face="normal" font="default" size="100%">June</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://gsd.di.uminho.pt/jop/pdfs/fudico2.pdf&quot; rel=&quot;nofollow</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">https://haslab.uminho.pt/sites/default/files/jop/files/10.1.1.190.491.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Bertinoro, Italy</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Epidemic broadcast algorithms have a number of characteristics, such as strong resilience to node failures, that make them an appealing technology to build survivable systems. However, the performance of existing protocols is highly dependent of runtime parameters, such as the network load or network topology. In the current extended abstract we advocate, using concrete illustrations, the use of self-adapting epidemic broadcast algorithms.&lt;/p&gt;
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