Large-scale monitoring of DHT traffic
Large-scale monitoring of DHT traffic
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发表时间：
2009-04
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通讯作者：
G. Memon;R. Rejaie;Yang Guo;D. Stutzbach
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作者：
G. Memon;R. Rejaie;Yang Guo;D. Stutzbach
研究部署的分布式哈希表 (DHT) 需要监控 DHT 流量。通常，DHT 流量是通过检测普通对等点以被动记录流量来测量的。在这种方法中，使用少量的对等点会导致流量视图有限（并且可能存在偏见）。或者，插入大量对等点可能会破坏 DHT 的自然流量模式并导致错误的结果。一般来说，准确捕获 DHT 流量是一项具有挑战性的任务。在本文中，我们提出了最小可见监视器的想法，以捕获大量对等点的流量，同时对 DHT 的干扰最小。我们在 Kad DHT 上实现并验证了我们提出的称为 Montra 的技术。我们表明，Montra 可以准确捕获大约 90% 的查询流量，同时监控大约 32,000 个对等点，并且可以准确识别 90% 捕获的目标流量的目标对等点。我们使用 Montra 来描述卡德的交通特征并展示我们的初步结果。
Studying deployed Distributed Hash Tables (DHTs) entails monitoring DHT traffic. Commonly, DHT traffic is measured by instrumenting ordinary peers to passively record traffic. In this approach, using a small number of peers leads to a limited (and potentially biased) view of traffic. Alternatively, inserting a large number of peers may disrupt the natural traffic patterns of the DHT and lead to incorrect results. In general, accurately capturing DHT traffic is a challenging task. In this paper, we propose the idea of minimally visible monitors to capture the traffic at a large number of peers with minimum disruption to the DHT. We implement and validate our proposed technique, called Montra, on the Kad DHT. We show that Montra accurately captures around 90% of the query traffic while monitoring roughly 32,000 peers and can accurately identify destination peers for 90% of captured destination traffic. Using Montra, we characterize the traffic in Kad and present our preliminary results.