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Enhancing peer-to-peer collaboration using trust

机译:使用信任加强对等协作

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Distributed systems generally require their component parts to interact cooperatively, in order for the system as a whole to function effectively. For any given activity, there are typically several alternative components that have the required capabilities. In decentralised systems, where there is no overarching control, individual components are responsible for selecting other components with which to cooperate. However, the candidate components may be unreliable or dishonest, and are typically locally controlled. Such decentralised systems can be viewed as multi-agent systems, comprising autonomous agents that must cooperate for the system to be effective. Peer-to-peer (P2P) systems are a subclass of decentralised distributed systems, in which not only is there no overarching control, but neither is there any hierarchy of control, power, or responsibly among the system components. Selecting appropriate peers to cooperate with is a challenging problem, since the candidate peers are autonomous and may be unreliable or dishonest. Peers need a mechanism for task delegation that takes the uncertainly of interactions into account. In this paper we present a mechanism, called MDT-R, that enables peers to delegate activities appropriately, using trust and the recommendations of other peers to meet individual preferences, such as minimising risk and maximising quality.
机译:分布式系统通常要求它们的组成部分相互协作,以使整个系统有效运行。对于任何给定的活动,通常都有一些具有所需功能的替代组件。在没有总体控制的分散系统中,各个组件负责选择要与之协作的其他组件。但是,候选组件可能不可靠或不诚实,并且通常是本地控制的。这样的分散系统可以看作是多主体系统,包括必须配合才能使系统有效的自治主体。对等(P2P)系统是分散式分布式系统的子类,其中不仅没有总体控制,而且系统组件之间也没有任何控制,权力或负责任的层次。选择合适的对等方进行合作是一个具有挑战性的问题,因为候选对等方是自治的,并且可能不可靠或不诚实。对等方需要一种任务委派机制,该机制应将不确定性的交互考虑在内。在本文中,我们提出了一种称为MDT-R的机制,该机制使对等方可以使用信任和其他对等方的建议来满足个人的偏爱,例如最大限度地降低风险和提高质量,从而适当地委派活动。

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