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AmbientDB: Relational Query Processing in a P2P Network

机译:AmbientDB:P2P网络中的关系查询处理

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摘要

A new generation of applications running on a network of nodes, that share data on an ad-hoc basis, will benefit from data management services including powerful querying facilities. In this paper, we introduce the goals, assumptions and architecture of AmbientDB, a new peer-to-peer (P2P) DBMS prototype developed at CWI. Our focus is on the query processing facilities of AmbientDB, that are based on a three-level translation of a global query algebra into multi-wave stream processing plans, distributed over an ad-hoc P2P network. We illustrate the usefulness of our system by outlining how it eases construction of a music player that generates intelligent playlists with collaborative filtering over distributed music logs. Finally, we show how the use of Distributed Hash Tables (DHT) at the basis of AmbientDB allows applications like the P2P music player to scale to large amounts of nodes.
机译:在节点网络上运行的,临时共享数据的新一代应用程序将从包含强大查询功能的数据管理服务中受益。在本文中,我们介绍了AmbientDB的目标,假设和体系结构,AmbientDB是CWI开发的一个新的对等(P2P)DBMS原型。我们的重点是AmbientDB的查询处理工具,该工具基于将全局查询代数三级转换为分布在ad-hoc P2P网络上的多波流处理计划的基础。我们通过概述如何简化音乐播放器的构建来说明系统的实用性,该音乐播放器通过对分布式音乐日志进行协作过滤来生成智能播放列表。最后,我们展示了基于AmbientDB的分布式哈希表(DHT)的使用如何使P2P音乐播放器之类的应用程序扩展到大量节点。

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