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SPADE: Support for Provenance Auditing in Distributed Environments

机译:SPADE:支持分布式环境中的源审核

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SPADE is an open source software infrastructure for data provenance collection and management. The underlying data model used throughout the system is graph-based, consisting of vertices and directed edges that are modeled after the node and relationship types described in the Open Provenance Model. The system has been designed to decouple the collection, storage, and querying of provenance metadata. At its core is a novel provenance kernel that mediates between the producers and consumers of provenance information, and handles the persistent storage of records. It operates as a service, peering with remote instances to enable distributed provenance queries. The provenance kernel on each host handles the buffering, filtering, and multiplexing of incoming metadata from multiple sources, including the operating system, applications, and manual cura-tion. Provenance elements can be located locally with queries that use wildcard, fuzzy, proximity, range, and Boolean operators. Ancestor and descendant queries are transparently propagated across hosts until a terminating expression is satisfied, while distributed path queries are accelerated with provenance sketches.
机译:SPADE是用于数据来源收集和管理的开源软件基础结构。整个系统中使用的基础数据模型是基于图的,由顶点和有向边组成,这些顶点和有向边是根据“开放源模型”中描述的节点和关系类型建模的。该系统已被设计为将源元数据的收集,存储和查询解耦。它的核心是新颖的出处内核,该内核在出处信息的生产者和使用者之间进行调解,并处理记录的持久存储。它作为服务运行,与远程实例建立对等关系以启用分布式出处查询。每个主机上的源内核处理来自多个源(包括操作系统,应用程序和手动管理)的传入元数据的缓冲,过滤和多路复用。可以使用通配符,模糊,接近度,范围和布尔运算符的查询在本地定位出处元素。祖先查询和后代查询在主机之间透明地传播,直到满足终止表达式为止,而分布式路径查询通过出处草图来加速。

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