首页> 外文会议>Association for Computing Machinery(ACM) Annual Symposium on Applied Computing(SAC 2004) vol.1; 20040314-17; Nicosia(CY) >Feature-based Distributed Object Search Using Signatures in Peer-to-Peer Environments
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Feature-based Distributed Object Search Using Signatures in Peer-to-Peer Environments

机译:在对等环境中使用签名的基于特征的分布式对象搜索

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摘要

Peer-to-Peer (P2P) technology has attracted a lot of attention in recent years. Efficient object search is an important research issue in P2P environments, especially in those without centralized global indexes. Although a number of hash-based basic object search schemes are known to alleviate the problem, they cannot provide flexible feature-based object searches. This paper proposes a novel object search method using distributed frame sliced signatures, and looks at an appropriate choice of parameters to adapt the configuration to the object search and registration workload. It shows object search and registration schemes that take into account the number of messages and response times. Effectiveness of these schemes is evaluated through simulation experiments.
机译:对等(P2P)技术近年来引起了很多关注。在P2P环境中,尤其是在没有集中全局索引的环境中,有效的对象搜索是一个重要的研究问题。尽管已知许多基于散列的基本对象搜索方案可以缓解该问题,但它们不能提供灵活的基于特征的对象搜索。本文提出了一种使用分布式帧切片签名的新型对象搜索方法,并寻找合适的参数选择以使配置适应对象搜索和注册工作量。它显示了考虑了消息数量和响应时间的对象搜索和注册方案。通过仿真实验评估了这些方案的有效性。

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