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Epidemic Algorithms for Reliable Content-Based Publish-Subscribe: An Evaluation

机译:可靠的基于内容的发布-订阅的流行病算法:一种评估

摘要

Distributed content-based publish-subscribe-middleware is emerging as a promising answer to the demands of modern distributed computing. Nevertheless, currently available systems usually do not provide reliability guarantees. This hampers their use in dynamic and unreliable scenarios, notably including mobile ones. In this paper, we evaluate the effectiveness of an approach based on epidemic algorithms. Three algorithms we originally proposed in [5] are thoroughly compared and evaluated through simulation in challenging unreliable settings. The results show that our use of epidemic algorithms improves signi.cantly event delivery, is scalable, and introduces only limited overhead.
机译:基于分布式内容的发布-订阅-中间件正逐渐成为现代分布式计算需求的有希望的答案。然而,当前可用的系统通常不提供可靠性保证。这阻碍了它们在动态和不可靠的场景中使用,尤其是在移动场景中。在本文中,我们评估了一种基于流行病算法的方法的有效性。我们在[5]中最初提出的三种算法在具有挑战性的不可靠设置中通过仿真进行了全面比较和评估。结果表明,我们使用流行病算法可显着改善事件传递,具有可伸缩性,并且仅引入有限的开销。

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