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Enforcing Cooperative Resource Sharing in Untrusted P2P Computing Environments

机译:在不受信任的P2P计算环境中加强合作资源共享

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Peer-to-Peer (P2P) computing is widely recognized as a promising paradigm for building next generation distributed applications. However, the autonomous, heterogeneous, and decentralized nature of participating peers introduces the following challenge for resource sharing: how to make peers profitable in the untrusted P2P environment? To address the problem, we present a self-policing and distributed approach by combining two models: PET, a personalized trust model, and M-CUBE, a multiple-currency based economic model, to lay a foundation for resource sharing in untrusted P2P computing environments. PET is a flexible trust model that can adapt to different requirements, and provides the solid support for the currency management in M-CUBE. M-CUBE provides a novel self-policing and quality-aware framework for the sharing of multiple resources, including both homogeneous and heterogeneous resources. We evaluate the efficacy and performance of this approach in the context of a real application, a peer-to-peer Web server sharing. Our results show that our approach is flexible enough to adapt to different situations and effective to make the system profitable, especially for systems with large scale.
机译:对等(P2P)计算被广泛认为是构建下一代分布式应用程序的有希望的范例。但是,参与对等方的自治,异构和分散性质为资源共享带来了以下挑战:如何在不信任的P2P环境中使对等方获利?为了解决该问题,我们通过结合两种模型(一种个性化的信任模型PET和一种基于多货币的经济模型M-CUBE)来提出一种自我监管和分布式方法,从而为不可信P2P计算中的资源共享奠定了基础。环境。 PET是一种灵活的信任模型,可以适应不同的需求,并为M-CUBE中的货币管理提供了坚实的支持。 M-CUBE提供了一种新颖的自我管理和质量意识框架,用于共享多种资源,包括同质和异质资源。我们在实际应用程序(对等Web服务器共享)的上下文中评估此方法的有效性和性能。我们的结果表明,我们的方法足够灵活,可以适应不同的情况,并且可以有效地使系统盈利,尤其是对于大型系统。

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