基于集群的P2P网络激励机制研究

Kan Zhang, N. Antonopoulos
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引用次数: 9

摘要

点对点(P2P)网络中的搭便车者是只消费服务但提供很少或不提供服务的节点。它们严重降低了P2P网络的容错性和可扩展性。本文提出了一种基于集群的激励机制(CBIM)来防止P2P网络中的搭便车问题,无论其拓扑结构和服务多样性如何。具有不对称兴趣的节点被组织在由服务交换环组成的集群中。环中的节点可以通过向其后继者提供所请求的服务来接收来自其前继者的服务。搭便车者无法完成他们请求的服务,因为一旦发现搭便车,圆环将崩溃。我们首先确定了五个设计需求,即适应性、服务多样性、奖惩、利他性和绩效。其次,我们描述了簇的形成过程和基于图论的环识别算法。最后,我们描述了我们的基于概率的粗粒度搭便车预防算法。通过一组仿真,我们发现CBIM是可行的,并且优于其他激励机制。
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Towards a Cluster Based Incentive Mechanism for P2P Networks
Free riders in Peer-to-peer (P2P) networks are the nodes only consume services but provide little or nothing. They seriously degrade the fault-tolerance and scalability of the P2P networks. A Cluster-Based Incentive Mechanism (CBIM) is proposed in this paper to prevent free riding problem in P2P networks regardless of their topologies and service diversity. Nodes with asymmetric interests are organized in clusters that consist of service exchange rings. A node in a ring can receive a service from its predecessor by providing a requested service to its successor. Free riders can not complete their requested services since a ring will collapse once free riding is detected. We firstly identify five design requirements, namely, adaptability, service diversity, reward and penalty, altruism and performance. Second, we describe the cluster formation process and a graph theory based ring identification algorithm. Finally, we describe our coarse-grained probability-based free riding prevention algorithm. Through a set of simulations, we find that the CBIM is feasible and outperforms other incentive mechanisms.
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