首页> 外文会议>High Performance Computing for Computational Science - VECPAR 2006; Lecture Notes in Computer Science; 4395 >Peer-to-Peer Models for Resource Discovery in Large-Scale Grids: A Scalable Architecture
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Peer-to-Peer Models for Resource Discovery in Large-Scale Grids: A Scalable Architecture

机译:大规模网格中资源发现的对等模型:可扩展的体系结构

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As Grids enlarge their boundaries and users, some of their functions should be decentralized to avoid bottlenecks and guarantee scalability. A way to provide Grid scalability is to adopt Peer-to-Peer (P2P) models to implement non hierarchical decentralized Grid services and systems. A core Grid functionality that can be effectively redesigned using the P2P approach is resource discovery. This paper proposes a P2P resource discovery architecture aiming to manage various Grid resources and complex queries. Its goal is two-fold: to address discovery of multiple resources, and to support discovery of dynamic resources and arbitrary queries in Grids. The architecture includes a scalable technique for locating dynamic resources in large-scale Grids. Simulation results are provided to demonstrate the efficiency of the proposed technique.
机译:随着网格扩大其边界和用户,应该分散其某些功能以避免瓶颈并保证可伸缩性。提供网格可伸缩性的一种方法是采用点对点(P2P)模型来实现非分层的分散式网格服务和系统。可以使用P2P方法有效地重新设计的核心Grid功能是资源发现。本文提出了一种P2P资源发现架构,旨在管理各种Grid资源和复杂的查询。它的目标有两个:解决多种资源的发现问题,并支持发现动态资源和Grids中的任意查询。该体系结构包括用于在大型Grid中定位动态资源的可伸缩技术。仿真结果表明了所提技术的有效性。

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