{"title":"Facts of LIFE","authors":"A. Barbero, Øyvind Ytrehus","doi":"10.1109/ICCCN.2007.4317921","DOIUrl":null,"url":null,"abstract":"The linear information flow (LIF) algorithm and its relatives are the most efficient centralized algorithms known for finding network encoding equations for multicast communication. This paper examines the performance of the LIFE (linear information flow on edges) algorithm on a \"real\" network, through the use of a simulation model. We present results on the algorithm's ability to encode in a finite field of given cardinality, and on the efficiency of the randomized version of the algorithm.","PeriodicalId":388763,"journal":{"name":"2007 16th International Conference on Computer Communications and Networks","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 16th International Conference on Computer Communications and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCN.2007.4317921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

The linear information flow (LIF) algorithm and its relatives are the most efficient centralized algorithms known for finding network encoding equations for multicast communication. This paper examines the performance of the LIFE (linear information flow on edges) algorithm on a "real" network, through the use of a simulation model. We present results on the algorithm's ability to encode in a finite field of given cardinality, and on the efficiency of the randomized version of the algorithm.
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线性信息流(LIF)算法及其相关算法是目前已知的用于寻找多播通信网络编码方程的最有效的集中式算法。本文通过使用仿真模型,研究了LIFE(边缘上的线性信息流)算法在“真实”网络上的性能。我们给出了该算法在给定基数的有限域中编码的能力的结果,以及该算法的随机化版本的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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