分布不确定图的可达性查询

Yurong Cheng, Ye Yuan, Lei Chen, Guoren Wang
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引用次数: 10

摘要

可达性是不确定图上最基本的查询之一,它询问在不确定图上两个给定查询顶点可达的概率。虽然这个问题已经得到了广泛的研究,但现有的工作都是在一个服务器上处理的。然而,随着图形数据变得越来越大,它通常不能存储在单个服务器中。此外,处理概率可达性查询是#P-complete的,因此即使在小图上计算也是非常昂贵的。因此,在本文中,我们的目的是开发有效的分布式策略,首先挑选出所有最大的子图,这些子图的可达概率可以在多项式时间内有效地计算出来。在这一步之后,只剩下一个小图,我们提供了一个近似方法。大量的实验研究表明,我们的分布式算法效率高,通信成本低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Reachability Query over Distributed Uncertain Graphs
Reachability, one of the most fundamental queries over uncertain graphs, which asks the probability that two given query vertices are reachable over an uncertain graph. Although this problem has been widely studied, the existing works are all processed in a single server. However, as graph data becomes larger, it usually cannot be stored in a single server. Moreover, processing probabilistic reachability queries is #P-complete, so the calculation is very expensive even on small graphs. Thus, in this paper, our purpose is to develop efficient distributed strategies to firstly pick out all the maximal subgraphs whose reachability probabilities can be calculated in polynomial time efficiently. After this step, only a small graph remains, and we provide an approximate method. Extensive experimental studies show that our distributed algorithms are efficient and have a low communication cost.
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