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An S2P-based resource discovery mechanism for tuple-based pervasive systems

机译:基于元组的普适系统的基于S2P的资源发现机制

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A critical issue in pervasive systems is the efficient discovery of resources in dynamic environments. Existing resource discovery mechanisms are inefficient since they broadcast resource request messages to all peers. They are also inflexible and hard to use. By imitating human behavioural patterns in social interactions known as S2P networks we present a more efficient discovery mechanism for tuple-based pervasive systems that only communicates to social peers in search of resources. The choice of tuple-based model yields more flexibility and ease of use. The result of S2P style search for a resource requested by a peer is consistently cached in the local tuple space of that peer for later use. Exemplar scenarios were run on an implementation of the mechanism in Linda in a mobile environment (LIME) on different platforms. The results showed significant improvements in resource discovery and access times.
机译:普及系统中的一个关键问题是动态环境中资源的有效发现。现有的资源发现机制效率低下,因为它们向所有对等方广播资源请求消息。它们也不灵活并且难以使用。通过在称为S2P网络的社交交互中模仿人类行为模式,我们为基于元组的普适系统提供了一种更有效的发现机制,该机制仅与社交同龄人通信以寻找资源。基于元组的模型的选择产生了更大的灵活性和易用性。 S2P样式搜索对等方请求的资源的结果将始终缓存在该对等方的本地元组空间中,以供以后使用。示例场景是在不同平台上的移动环境(LIME)中的Linda机制实现中运行的。结果表明,资源发现和访问时间有了显着改善。

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