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Constructing Limited Scale-Free Topologiesover Peer-to-Peer Networks

机译:通过对等网络构建有限的无标度拓扑

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Overlay network topology together with peer/data organization and search algorithm are the crucial components of unstructured peer-to-peer (P2P) networks as they directly affect the efficiency of search on such networks. Scale-free (power-law) overlay network topologies are among structures that offer high performance for these networks. A key problem for these topologies is the existence of hubs, nodes with high connectivity. Yet, the peers in a typical unstructured P2P network may not be willing or able to cope with such high connectivity and its associated load. Therefore, some hard cutoffs are often imposed on the number of edges that each peer can have, restricting feasible overlays to limited or truncated scale-free networks. In this paper, we analyze the growth of such limited scale-free networks and propose two different algorithms for constructing perfect scale-free overlay network topologies at each instance of such growth. Our algorithms allow the user to define the desired scale-free exponent ( $gamma$). They also induce low communication overhead when network grows from one size to another. Using extensive simulations, we demonstrate that these algorithms indeed generate perfect scale free networks (at each step of network growth) that provide better search efficiency in various search algorithms than the networks generated by the existing solutions.
机译:覆盖网络拓扑以及对等/数据组织和搜索算法是非结构化对等(P2P)网络的关键组成部分,因为它们直接影响此类网络上的搜索效率。无标度(幂律)覆盖网络拓扑是为这些网络提供高性能的结构。这些拓扑的关键问题是集线器,高连接性节点的存在。但是,典型的非结构化P2P网络中的对等端可能不愿意或无法应对如此高的连接性及其相关的负载。因此,通常会在每个对等方可以拥有的边缘数量上施加一定的硬性限制,从而将可行的覆盖范围限制在有限的或被截断的无标度网络上。在本文中,我们分析了这种有限的无标度网络的增长,并提出了两种不同的算法,用于在这种增长的每种情况下构建完美的无标度覆盖网络拓扑。我们的算法允许用户定义所需的无标度指数($ gamma $)。当网络从一种大小增长到另一种大小时,它们还导致较低的通信开销。通过广泛的仿真,我们证明了这些算法确实生成了完美的无标度网络(在网络增长的每一步),与现有解决方案生成的网络相比,在各种搜索算法中提供了更好的搜索效率。

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