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Exploiting dynamic querying like flooding techniques in unstructured peer-to-peer networks

机译:在非结构化对等网络中利用诸如泛洪技术之类的动态查询

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In unstructured peer-to-peer networks, controlled flooding aims at locating an item at the minimum message cost. Dynamic querying is a new controlled flooding technique. While it is implemented in some peer-to-peer networks, little is known about its undesirable behavior and little is known about its general usefulness in unstructured peer-to-peer networks. This paper describes the first evaluation and analysis of such techniques, and proposes novel techniques to improve them. We make three contributions. First, we find the current dynamic querying design is flawed. Although it is advantageous over the expanding ring algorithm in terms of search cost, it is much less attractive in terms of peer perceived latency, and its strict constraints on network connectivity prevent it from being widely adopted. Second, we propose an enhanced flooding technique which requires the search cost close to the minimum, reduces the search latency by more than four times, and loosens the constraints on the network connectivity. Thus, we make such techniques useful for the general unstructured peer-to-peer networks. Third, we show that our proposal requires only minor modifications to the existing search mechanisms and can be incrementally deployed in peer-to-peer networks.
机译:在非结构化的对等网络中,受控洪泛旨在以最小的消息成本定位项目。动态查询是一种新的受控泛洪技术。尽管它是在某些对等网络中实现的,但对其不受欢迎的行为知之甚少,而在非结构化对等网络中的通用性却知之甚少。本文介绍了对此类技术的首次评估和分析,并提出了改进这些技术的新颖技术。我们做出三点贡献。首先,我们发现当前的动态查询设计存在缺陷。尽管就搜索成本而言,它比扩展环算法更具优势,但就对等感知延迟而言,它的吸引力要小得多,并且它对网络连接性的严格限制使其无法被广泛采用。其次,我们提出了一种增强的泛洪技术,该技术要求搜索成本接近最小值,将搜索等待时间减少四倍以上,并放宽对网络连接的限制。因此,我们使此类技术对于一般的非结构化对等网络很有用。第三,我们表明我们的建议仅需对现有搜索机制进行少量修改,并且可以在对等网络中逐步部署。

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