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Unified Framework and an Algorithm for Searching in Pure P2P-Hop-vake-based Qeery-packet Forwarding

机译:基于纯P2P-跳-Vake的Qeery-Packet转发的统一框架和搜索算法

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摘要

In pure peer-to-peer (P2P) file sharing applications and protocols using a flooding-based query algorithm, a large number of control packets (query packets) are transmitted on the network to search for target files. This flooding-based query-packet-forwarding algorithm is clearly not scalable because it will lead to an overhead, such as an overwhelming amount of query traffic and a high CPU load, as more ser-vents (servent = server + client) join the overlay network. To solve such problems, this paper proposes a new query algorithm based on a unified framework that describes a wide variety of query algorithms for pure P2P. This framework determines the number of destinations for query packets based on the hop value recorded in received query packets. Simulation results revealed that the proposed query algorithm can reduce the overhead in the flooding-based query algorithm without decreasing the success rate of retrieval regardless of the density of target files in the network.
机译:在使用基于洪泛的查询算法的纯对等(P2P)文件共享应用程序和协议中,大量控制数据包(查询数据包)在网络上传输以搜索目标文件。这种基于泛洪的查询数据包转发算法显然不可扩展,因为随着更多的服务(服务端=服务器+客户端)加入到网络中,将导致系统开销,例如大量的查询流量和较高的CPU负载。覆盖网络。为了解决这些问题,本文提出了一种基于统一框架的新查询算法,该算法描述了多种用于纯P2P的查询算法。该框架根据接收到的查询数据包中记录的跃点值确定查询数据包的目的地数量。仿真结果表明,无论网络中目标文件的密度如何,所提出的查询算法都可以减少基于泛洪的查询算法的开销,而不会降低检索成功率。

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