一种基于Peer-to-Peer的复杂网格系统的分类方法
A Taxonomy of Peer-to-Peer Based Complex Queries: a Grid perspective
摘要：
网格超级搜索需要支持高效和可伸缩的资源发现。资源发现活动涉及搜索与用户的作业要求相匹配的适当资源类型。为了实现这一目标，一个资源发现系统，支持所需的查找操作是强制性的。已经提出了针对这个问题的各种解决方案，包括集中式和分级信息服务器方法。然而，这两种方法在可扩展性、容错性和网络拥塞方面都有严重的局限性。为了克服这些局限性，组织资源信息使用对等（P2P）网络模型已被提出。现有的方法主张扩展到结构化的P2P协议，以支持网格资源信息系统（GRIS）。在本文中，我们确定了这样一个高效的，可扩展的，容错的，一致的和实用的GRIS系统使用P2P网络模型的设计相关的问题。我们在第三节和第四节中将这些问题汇编成各种分类法。此外，我们期待现有的作品，适用于基于P2P的网络协议的GRIS。我们认为，这种分类法及其映射到相关的系统将是有用的学术和工业为基础的研究人员从事可扩展的网格系统的设计。
英文摘要：
Grid superscheduling requires support for efficient and scalable discovery of resources. Resource discovery activities involve searching for the appropriate resource types that match the user's job requirements. To accomplish this goal, a resource discovery system that supports the desired look-up operation is mandatory. Various kinds of solutions to this problem have been suggested, including the centralised and hierarchical information server approach. However, both of these approaches have serious limitations in regards to scalability, fault-tolerance and network congestion. To overcome these limitations, organising resource information using Peer-to-Peer (P2P) network model has been proposed. Existing approaches advocate an extension to structured P2P protocols, to support the Grid resource information system (GRIS). In this paper, we identify issues related to the design of such an efficient, scalable, fault-tolerant, consistent and practical GRIS system using a P2P network model. We compile these issues into various taxonomies in sections III and IV. Further, we look into existing works that apply P2P based network protocols to GRIS. We think that this taxonomy and its mapping to relevant systems would be useful for academic and industry based researchers who are engaged in the design of scalable Grid systems.
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