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Design and implementation of an efficient search mechanism based on the hybrid P2P model for ubiquitous computing systems

机译:基于混合P2P模型的普适计算系统高效搜索机制的设计与实现

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To realize ubiquitous computing using quite a huge number of computing resources on the Internet, this paper presents an effective computing resource search mechanism based on peer-to-peer (P2P) ad-hoc networking that finds appropriate resource providers for each resource user. The main idea of the proposed mechanism is to classify the attributes of computing resources into two groups: a static attribute group and a dynamic attribute group. The attributes classified into the static attribute group are managed in a centralized manner, while the attributes in the dynamic attribute group are managed in a decentralized manner. In resource searching, this hybrid-type resource management mechanism can limit the candidates based on the static attributes firsts, and then the appropriate resources can be searched according to the dynamic attributes only within the area restricted by the static attributes. Therefore, the mechanism can prevent the network traffic explosion due to the flooding search in native P2P systems. Performance evaluation is carried out theoretically and experimentally. The results of theoretical evaluation indicate that the proposed model is well-suited for the resource search required by the ubiquitous computing, compared with both a typical server-client model and a P2P-based model. Prototyping the proposed mechanism experimentally shows its feasibility.
机译:为了使用Internet上的大量计算资源来实现普适计算,本文提出了一种基于对等(P2P)自组织网络的有效计算资源搜索机制,该机制可以为每个资源用户找到合适的资源提供者。该机制的主要思想是将计算资源的属性分为两类:静态属性组和动态属性组。分类为静态属性组的属性以集中方式进行管理,而动态属性组中的属性以分散方式进行管理。在资源搜索中,这种混合型资源管理机制可以首先基于静态属性限制候选者,然后才可以根据动态属性仅在受静态属性限制的区域内搜索合适的资源。因此,该机制可以防止由于本地P2P系统中的洪泛搜索而引起的网络流量爆炸。性能评估是在理论上和实验上进行的。理论评估的结果表明,与典型的服务器-客户端模型和基于P2P的模型相比,该模型非常适合普适计算所需的资源搜索。对所提出的机制进行原型实验表明了其可行性。

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