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Efficient lookup on unstructured topologies

机译:在非结构化拓扑上的高效查找

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We present LMS, a protocol for efficient lookup on unstructured networks. Our protocol uses a virtual namespace without imposing specific topologies. It is more efficient than existing lookup protocols for unstructured networks, and thus is an attractive alternative for applications in which the topology cannot be structured as a Distributed Hash Table (DHT). We present analytic bounds for the worst-case performance of LMS. Through detailed simulations (with up to 100,000 nodes), we show that the actual performance on realistic topologies is significantly better. We also show in both simulations and a complete implementation (which includes over five hundred nodes) that our protocol is inherently robust against multiple node failures and can adapt its replication strategy to optimize searches according to a specific heuristic. Moreover, the simulation demonstrates the resilience of LMS to high node turnover rates, and that it can easily adapt to orders of magnitude changes in network size. The overhead incurred by LMS is small, and its performance approaches that of DHTs on networks of similar size
机译:我们介绍LMS,一种用于在非结构化网络上进行有效查找的协议。我们的协议使用虚拟名称空间,而没有施加特定的拓扑。对于非结构化网络,它比现有的查找协议更有效,因此,对于无法将拓扑结构化为分布式哈希表(DHT)的应用程序,它是一种有吸引力的替代方法。我们为LMS的最坏情况下的性能提供了分析界线。通过详细的仿真(最多100,000个节点),我们表明在实际拓扑上的实际性能要好得多。我们还在模拟和完整的实现中(包括500多个节点)都表明,我们的协议具有针对多个节点故障的固有鲁棒性,并且可以根据特定的启发式方法调整其复制策略来优化搜索。此外,该仿真证明了LMS具有较高的节点周转率的弹性,并且可以轻松适应网络规模的数量级变化。 LMS产生的开销很小,并且在类似规模的网络上其性能接近DHT的性能。

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