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NAS Algorithm for Semantic Query Routing Systems in Complex Networks

机译:复杂网络中语义查询路由系统的NAS算法

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The modern distributed systems are acquiring a great importance in our daily lives.Each day more transactions are conducted through devices which perform queries that are de-pendent on the reliability, availability and security of distributed applications. In addition, thosesystems show great dynamism as a result of the extremely complex and unpredictable interac-tions between the distributed components, making it practically impossible to evaluate their be-havior. In this paper, we evaluate the performance of the NAS algorithm (Neighboring-AntSearch), which is an algorithm for distributed textual query routing based on the Ant ColonySystem metaheuristic and SemAnt algorithm, improved with a local topological characteriza-tion metric and a classic local exploration method called lookahead, with the aim of improvingthe performance of the distributed search. Our results show that including local information likethe topological metric and the exploration method in the Neighboring-Ant Search algorithmimproves its performance 40%, in terms of the number of hops needed to locate a set ofresources in a scale-free network.
机译:现代分布式系统在日常生活中获取了重要意义。一天更多的交易通过设备进行了对分布式应用程序的可靠性,可用性和安全性的疑问。此外,由于分布式部件之间的极其复杂和不可预测的相互作用,文献系统表现出巨大的活力,使其实际上不可能评估其作为行为。在本文中,我们评估了NAS算法(相邻antsearch)的性能,这是一种基于蚁隆型系统成群质和词组算法的分布式文本查询路由算法,其局部拓扑特征性度量和典型的局部探索方法称为Souphead,目的是提高分布式搜索的性能。我们的结果表明,包括本地信息的拓扑度量和邻近蚂蚁搜索算法中的探索方法,其性能为40%,就可以在无垢网络中定位集合Resources所需的跳数而言。

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